Add OFT support from KOHYA_ss FLUX-dev

[axel578]

Feature Idea

Only replace forward method. The OFT network described here: https://github.com/kohya-ss/sd-scripts/blob/9c757c2fba43d4e91d773cf6e9b7e2e8e3e8b376/networks/oft.py#L95

Existing Solutions

No response

Other

THe absolute entire Keys list:

lora key not loaded: oft_unet_double_blocks_0_img_attn_proj.alpha
lora key not loaded: oft_unet_double_blocks_0_img_attn_proj.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_0_img_attn_qkv.alpha
lora key not loaded: oft_unet_double_blocks_0_img_attn_qkv.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_0_img_attn_qkv.oft_blocks.1
lora key not loaded: oft_unet_double_blocks_0_img_attn_qkv.oft_blocks.2
lora key not loaded: oft_unet_double_blocks_0_img_mlp_0.alpha
lora key not loaded: oft_unet_double_blocks_0_img_mlp_0.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_0_img_mlp_2.alpha
lora key not loaded: oft_unet_double_blocks_0_img_mlp_2.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_0_img_mod_lin.alpha
lora key not loaded: oft_unet_double_blocks_0_img_mod_lin.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_0_txt_attn_proj.alpha
lora key not loaded: oft_unet_double_blocks_0_txt_attn_proj.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_0_txt_attn_qkv.alpha
lora key not loaded: oft_unet_double_blocks_0_txt_attn_qkv.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_0_txt_attn_qkv.oft_blocks.1
lora key not loaded: oft_unet_double_blocks_0_txt_attn_qkv.oft_blocks.2
lora key not loaded: oft_unet_double_blocks_0_txt_mlp_0.alpha
lora key not loaded: oft_unet_double_blocks_0_txt_mlp_0.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_0_txt_mlp_2.alpha
lora key not loaded: oft_unet_double_blocks_0_txt_mlp_2.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_0_txt_mod_lin.alpha
lora key not loaded: oft_unet_double_blocks_0_txt_mod_lin.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_10_img_attn_proj.alpha
lora key not loaded: oft_unet_double_blocks_10_img_attn_proj.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_10_img_attn_qkv.alpha
lora key not loaded: oft_unet_double_blocks_10_img_attn_qkv.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_10_img_attn_qkv.oft_blocks.1
lora key not loaded: oft_unet_double_blocks_10_img_attn_qkv.oft_blocks.2
lora key not loaded: oft_unet_double_blocks_10_img_mlp_0.alpha
lora key not loaded: oft_unet_double_blocks_10_img_mlp_0.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_10_img_mlp_2.alpha
lora key not loaded: oft_unet_double_blocks_10_img_mlp_2.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_10_img_mod_lin.alpha
lora key not loaded: oft_unet_double_blocks_10_img_mod_lin.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_10_txt_attn_proj.alpha
lora key not loaded: oft_unet_double_blocks_10_txt_attn_proj.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_10_txt_attn_qkv.alpha
lora key not loaded: oft_unet_double_blocks_10_txt_attn_qkv.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_10_txt_attn_qkv.oft_blocks.1
lora key not loaded: oft_unet_double_blocks_10_txt_attn_qkv.oft_blocks.2
lora key not loaded: oft_unet_double_blocks_10_txt_mlp_0.alpha
lora key not loaded: oft_unet_double_blocks_10_txt_mlp_0.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_10_txt_mlp_2.alpha
lora key not loaded: oft_unet_double_blocks_10_txt_mlp_2.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_10_txt_mod_lin.alpha
lora key not loaded: oft_unet_double_blocks_10_txt_mod_lin.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_11_img_attn_proj.alpha
lora key not loaded: oft_unet_double_blocks_11_img_attn_proj.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_11_img_attn_qkv.alpha
lora key not loaded: oft_unet_double_blocks_11_img_attn_qkv.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_11_img_attn_qkv.oft_blocks.1
lora key not loaded: oft_unet_double_blocks_11_img_attn_qkv.oft_blocks.2
lora key not loaded: oft_unet_double_blocks_11_img_mlp_0.alpha
lora key not loaded: oft_unet_double_blocks_11_img_mlp_0.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_11_img_mlp_2.alpha
lora key not loaded: oft_unet_double_blocks_11_img_mlp_2.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_11_img_mod_lin.alpha
lora key not loaded: oft_unet_double_blocks_11_img_mod_lin.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_11_txt_attn_proj.alpha
lora key not loaded: oft_unet_double_blocks_11_txt_attn_proj.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_11_txt_attn_qkv.alpha
lora key not loaded: oft_unet_double_blocks_11_txt_attn_qkv.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_11_txt_attn_qkv.oft_blocks.1
lora key not loaded: oft_unet_double_blocks_11_txt_attn_qkv.oft_blocks.2
lora key not loaded: oft_unet_double_blocks_11_txt_mlp_0.alpha
lora key not loaded: oft_unet_double_blocks_11_txt_mlp_0.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_11_txt_mlp_2.alpha
lora key not loaded: oft_unet_double_blocks_11_txt_mlp_2.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_11_txt_mod_lin.alpha
lora key not loaded: oft_unet_double_blocks_11_txt_mod_lin.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_12_img_attn_proj.alpha
lora key not loaded: oft_unet_double_blocks_12_img_attn_proj.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_12_img_attn_qkv.alpha
lora key not loaded: oft_unet_double_blocks_12_img_attn_qkv.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_12_img_attn_qkv.oft_blocks.1
lora key not loaded: oft_unet_double_blocks_12_img_attn_qkv.oft_blocks.2
lora key not loaded: oft_unet_double_blocks_12_img_mlp_0.alpha
lora key not loaded: oft_unet_double_blocks_12_img_mlp_0.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_12_img_mlp_2.alpha
lora key not loaded: oft_unet_double_blocks_12_img_mlp_2.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_12_img_mod_lin.alpha
lora key not loaded: oft_unet_double_blocks_12_img_mod_lin.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_12_txt_attn_proj.alpha
lora key not loaded: oft_unet_double_blocks_12_txt_attn_proj.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_12_txt_attn_qkv.alpha
lora key not loaded: oft_unet_double_blocks_12_txt_attn_qkv.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_12_txt_attn_qkv.oft_blocks.1
lora key not loaded: oft_unet_double_blocks_12_txt_attn_qkv.oft_blocks.2
lora key not loaded: oft_unet_double_blocks_12_txt_mlp_0.alpha
lora key not loaded: oft_unet_double_blocks_12_txt_mlp_0.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_12_txt_mlp_2.alpha
lora key not loaded: oft_unet_double_blocks_12_txt_mlp_2.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_12_txt_mod_lin.alpha
lora key not loaded: oft_unet_double_blocks_12_txt_mod_lin.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_13_img_attn_proj.alpha
lora key not loaded: oft_unet_double_blocks_13_img_attn_proj.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_13_img_attn_qkv.alpha
lora key not loaded: oft_unet_double_blocks_13_img_attn_qkv.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_13_img_attn_qkv.oft_blocks.1
lora key not loaded: oft_unet_double_blocks_13_img_attn_qkv.oft_blocks.2
lora key not loaded: oft_unet_double_blocks_13_img_mlp_0.alpha
lora key not loaded: oft_unet_double_blocks_13_img_mlp_0.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_13_img_mlp_2.alpha
lora key not loaded: oft_unet_double_blocks_13_img_mlp_2.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_13_img_mod_lin.alpha
lora key not loaded: oft_unet_double_blocks_13_img_mod_lin.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_13_txt_attn_proj.alpha
lora key not loaded: oft_unet_double_blocks_13_txt_attn_proj.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_13_txt_attn_qkv.alpha
lora key not loaded: oft_unet_double_blocks_13_txt_attn_qkv.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_13_txt_attn_qkv.oft_blocks.1
lora key not loaded: oft_unet_double_blocks_13_txt_attn_qkv.oft_blocks.2
lora key not loaded: oft_unet_double_blocks_13_txt_mlp_0.alpha
lora key not loaded: oft_unet_double_blocks_13_txt_mlp_0.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_13_txt_mlp_2.alpha
lora key not loaded: oft_unet_double_blocks_13_txt_mlp_2.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_13_txt_mod_lin.alpha
lora key not loaded: oft_unet_double_blocks_13_txt_mod_lin.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_14_img_attn_proj.alpha
lora key not loaded: oft_unet_double_blocks_14_img_attn_proj.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_14_img_attn_qkv.alpha
lora key not loaded: oft_unet_double_blocks_14_img_attn_qkv.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_14_img_attn_qkv.oft_blocks.1
lora key not loaded: oft_unet_double_blocks_14_img_attn_qkv.oft_blocks.2
lora key not loaded: oft_unet_double_blocks_14_img_mlp_0.alpha
lora key not loaded: oft_unet_double_blocks_14_img_mlp_0.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_14_img_mlp_2.alpha
lora key not loaded: oft_unet_double_blocks_14_img_mlp_2.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_14_img_mod_lin.alpha
lora key not loaded: oft_unet_double_blocks_14_img_mod_lin.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_14_txt_attn_proj.alpha
lora key not loaded: oft_unet_double_blocks_14_txt_attn_proj.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_14_txt_attn_qkv.alpha
lora key not loaded: oft_unet_double_blocks_14_txt_attn_qkv.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_14_txt_attn_qkv.oft_blocks.1
lora key not loaded: oft_unet_double_blocks_14_txt_attn_qkv.oft_blocks.2
lora key not loaded: oft_unet_double_blocks_14_txt_mlp_0.alpha
lora key not loaded: oft_unet_double_blocks_14_txt_mlp_0.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_14_txt_mlp_2.alpha
lora key not loaded: oft_unet_double_blocks_14_txt_mlp_2.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_14_txt_mod_lin.alpha
lora key not loaded: oft_unet_double_blocks_14_txt_mod_lin.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_15_img_attn_proj.alpha
lora key not loaded: oft_unet_double_blocks_15_img_attn_proj.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_15_img_attn_qkv.alpha
lora key not loaded: oft_unet_double_blocks_15_img_attn_qkv.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_15_img_attn_qkv.oft_blocks.1
lora key not loaded: oft_unet_double_blocks_15_img_attn_qkv.oft_blocks.2
lora key not loaded: oft_unet_double_blocks_15_img_mlp_0.alpha
lora key not loaded: oft_unet_double_blocks_15_img_mlp_0.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_15_img_mlp_2.alpha
lora key not loaded: oft_unet_double_blocks_15_img_mlp_2.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_15_img_mod_lin.alpha
lora key not loaded: oft_unet_double_blocks_15_img_mod_lin.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_15_txt_attn_proj.alpha
lora key not loaded: oft_unet_double_blocks_15_txt_attn_proj.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_15_txt_attn_qkv.alpha
lora key not loaded: oft_unet_double_blocks_15_txt_attn_qkv.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_15_txt_attn_qkv.oft_blocks.1
lora key not loaded: oft_unet_double_blocks_15_txt_attn_qkv.oft_blocks.2
lora key not loaded: oft_unet_double_blocks_15_txt_mlp_0.alpha
lora key not loaded: oft_unet_double_blocks_15_txt_mlp_0.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_15_txt_mlp_2.alpha
lora key not loaded: oft_unet_double_blocks_15_txt_mlp_2.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_15_txt_mod_lin.alpha
lora key not loaded: oft_unet_double_blocks_15_txt_mod_lin.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_16_img_attn_proj.alpha
lora key not loaded: oft_unet_double_blocks_16_img_attn_proj.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_16_img_attn_qkv.alpha
lora key not loaded: oft_unet_double_blocks_16_img_attn_qkv.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_16_img_attn_qkv.oft_blocks.1
lora key not loaded: oft_unet_double_blocks_16_img_attn_qkv.oft_blocks.2
lora key not loaded: oft_unet_double_blocks_16_img_mlp_0.alpha
lora key not loaded: oft_unet_double_blocks_16_img_mlp_0.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_16_img_mlp_2.alpha
lora key not loaded: oft_unet_double_blocks_16_img_mlp_2.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_16_img_mod_lin.alpha
lora key not loaded: oft_unet_double_blocks_16_img_mod_lin.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_16_txt_attn_proj.alpha
lora key not loaded: oft_unet_double_blocks_16_txt_attn_proj.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_16_txt_attn_qkv.alpha
lora key not loaded: oft_unet_double_blocks_16_txt_attn_qkv.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_16_txt_attn_qkv.oft_blocks.1
lora key not loaded: oft_unet_double_blocks_16_txt_attn_qkv.oft_blocks.2
lora key not loaded: oft_unet_double_blocks_16_txt_mlp_0.alpha
lora key not loaded: oft_unet_double_blocks_16_txt_mlp_0.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_16_txt_mlp_2.alpha
lora key not loaded: oft_unet_double_blocks_16_txt_mlp_2.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_16_txt_mod_lin.alpha
lora key not loaded: oft_unet_double_blocks_16_txt_mod_lin.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_17_img_attn_proj.alpha
lora key not loaded: oft_unet_double_blocks_17_img_attn_proj.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_17_img_attn_qkv.alpha
lora key not loaded: oft_unet_double_blocks_17_img_attn_qkv.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_17_img_attn_qkv.oft_blocks.1
lora key not loaded: oft_unet_double_blocks_17_img_attn_qkv.oft_blocks.2
lora key not loaded: oft_unet_double_blocks_17_img_mlp_0.alpha
lora key not loaded: oft_unet_double_blocks_17_img_mlp_0.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_17_img_mlp_2.alpha
lora key not loaded: oft_unet_double_blocks_17_img_mlp_2.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_17_img_mod_lin.alpha
lora key not loaded: oft_unet_double_blocks_17_img_mod_lin.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_17_txt_attn_proj.alpha
lora key not loaded: oft_unet_double_blocks_17_txt_attn_proj.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_17_txt_attn_qkv.alpha
lora key not loaded: oft_unet_double_blocks_17_txt_attn_qkv.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_17_txt_attn_qkv.oft_blocks.1
lora key not loaded: oft_unet_double_blocks_17_txt_attn_qkv.oft_blocks.2
lora key not loaded: oft_unet_double_blocks_17_txt_mlp_0.alpha
lora key not loaded: oft_unet_double_blocks_17_txt_mlp_0.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_17_txt_mlp_2.alpha
lora key not loaded: oft_unet_double_blocks_17_txt_mlp_2.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_17_txt_mod_lin.alpha
lora key not loaded: oft_unet_double_blocks_17_txt_mod_lin.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_18_img_attn_proj.alpha
lora key not loaded: oft_unet_double_blocks_18_img_attn_proj.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_18_img_attn_qkv.alpha
lora key not loaded: oft_unet_double_blocks_18_img_attn_qkv.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_18_img_attn_qkv.oft_blocks.1
lora key not loaded: oft_unet_double_blocks_18_img_attn_qkv.oft_blocks.2
lora key not loaded: oft_unet_double_blocks_18_img_mlp_0.alpha
lora key not loaded: oft_unet_double_blocks_18_img_mlp_0.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_18_img_mlp_2.alpha
lora key not loaded: oft_unet_double_blocks_18_img_mlp_2.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_18_img_mod_lin.alpha
lora key not loaded: oft_unet_double_blocks_18_img_mod_lin.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_18_txt_attn_proj.alpha
lora key not loaded: oft_unet_double_blocks_18_txt_attn_proj.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_18_txt_attn_qkv.alpha
lora key not loaded: oft_unet_double_blocks_18_txt_attn_qkv.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_18_txt_attn_qkv.oft_blocks.1
lora key not loaded: oft_unet_double_blocks_18_txt_attn_qkv.oft_blocks.2
lora key not loaded: oft_unet_double_blocks_18_txt_mlp_0.alpha
lora key not loaded: oft_unet_double_blocks_18_txt_mlp_0.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_18_txt_mlp_2.alpha
lora key not loaded: oft_unet_double_blocks_18_txt_mlp_2.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_18_txt_mod_lin.alpha
lora key not loaded: oft_unet_double_blocks_18_txt_mod_lin.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_1_img_attn_proj.alpha
lora key not loaded: oft_unet_double_blocks_1_img_attn_proj.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_1_img_attn_qkv.alpha
lora key not loaded: oft_unet_double_blocks_1_img_attn_qkv.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_1_img_attn_qkv.oft_blocks.1
lora key not loaded: oft_unet_double_blocks_1_img_attn_qkv.oft_blocks.2
lora key not loaded: oft_unet_double_blocks_1_img_mlp_0.alpha
lora key not loaded: oft_unet_double_blocks_1_img_mlp_0.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_1_img_mlp_2.alpha
lora key not loaded: oft_unet_double_blocks_1_img_mlp_2.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_1_img_mod_lin.alpha
lora key not loaded: oft_unet_double_blocks_1_img_mod_lin.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_1_txt_attn_proj.alpha
lora key not loaded: oft_unet_double_blocks_1_txt_attn_proj.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_1_txt_attn_qkv.alpha
lora key not loaded: oft_unet_double_blocks_1_txt_attn_qkv.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_1_txt_attn_qkv.oft_blocks.1
lora key not loaded: oft_unet_double_blocks_1_txt_attn_qkv.oft_blocks.2
lora key not loaded: oft_unet_double_blocks_1_txt_mlp_0.alpha
lora key not loaded: oft_unet_double_blocks_1_txt_mlp_0.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_1_txt_mlp_2.alpha
lora key not loaded: oft_unet_double_blocks_1_txt_mlp_2.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_1_txt_mod_lin.alpha
lora key not loaded: oft_unet_double_blocks_1_txt_mod_lin.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_2_img_attn_proj.alpha
lora key not loaded: oft_unet_double_blocks_2_img_attn_proj.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_2_img_attn_qkv.alpha
lora key not loaded: oft_unet_double_blocks_2_img_attn_qkv.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_2_img_attn_qkv.oft_blocks.1
lora key not loaded: oft_unet_double_blocks_2_img_attn_qkv.oft_blocks.2
lora key not loaded: oft_unet_double_blocks_2_img_mlp_0.alpha
lora key not loaded: oft_unet_double_blocks_2_img_mlp_0.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_2_img_mlp_2.alpha
lora key not loaded: oft_unet_double_blocks_2_img_mlp_2.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_2_img_mod_lin.alpha
lora key not loaded: oft_unet_double_blocks_2_img_mod_lin.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_2_txt_attn_proj.alpha
lora key not loaded: oft_unet_double_blocks_2_txt_attn_proj.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_2_txt_attn_qkv.alpha
lora key not loaded: oft_unet_double_blocks_2_txt_attn_qkv.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_2_txt_attn_qkv.oft_blocks.1
lora key not loaded: oft_unet_double_blocks_2_txt_attn_qkv.oft_blocks.2
lora key not loaded: oft_unet_double_blocks_2_txt_mlp_0.alpha
lora key not loaded: oft_unet_double_blocks_2_txt_mlp_0.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_2_txt_mlp_2.alpha
lora key not loaded: oft_unet_double_blocks_2_txt_mlp_2.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_2_txt_mod_lin.alpha
lora key not loaded: oft_unet_double_blocks_2_txt_mod_lin.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_3_img_attn_proj.alpha
lora key not loaded: oft_unet_double_blocks_3_img_attn_proj.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_3_img_attn_qkv.alpha
lora key not loaded: oft_unet_double_blocks_3_img_attn_qkv.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_3_img_attn_qkv.oft_blocks.1
lora key not loaded: oft_unet_double_blocks_3_img_attn_qkv.oft_blocks.2
lora key not loaded: oft_unet_double_blocks_3_img_mlp_0.alpha
lora key not loaded: oft_unet_double_blocks_3_img_mlp_0.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_3_img_mlp_2.alpha
lora key not loaded: oft_unet_double_blocks_3_img_mlp_2.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_3_img_mod_lin.alpha
lora key not loaded: oft_unet_double_blocks_3_img_mod_lin.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_3_txt_attn_proj.alpha
lora key not loaded: oft_unet_double_blocks_3_txt_attn_proj.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_3_txt_attn_qkv.alpha
lora key not loaded: oft_unet_double_blocks_3_txt_attn_qkv.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_3_txt_attn_qkv.oft_blocks.1
lora key not loaded: oft_unet_double_blocks_3_txt_attn_qkv.oft_blocks.2
lora key not loaded: oft_unet_double_blocks_3_txt_mlp_0.alpha
lora key not loaded: oft_unet_double_blocks_3_txt_mlp_0.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_3_txt_mlp_2.alpha
lora key not loaded: oft_unet_double_blocks_3_txt_mlp_2.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_3_txt_mod_lin.alpha
lora key not loaded: oft_unet_double_blocks_3_txt_mod_lin.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_4_img_attn_proj.alpha
lora key not loaded: oft_unet_double_blocks_4_img_attn_proj.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_4_img_attn_qkv.alpha
lora key not loaded: oft_unet_double_blocks_4_img_attn_qkv.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_4_img_attn_qkv.oft_blocks.1
lora key not loaded: oft_unet_double_blocks_4_img_attn_qkv.oft_blocks.2
lora key not loaded: oft_unet_double_blocks_4_img_mlp_0.alpha
lora key not loaded: oft_unet_double_blocks_4_img_mlp_0.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_4_img_mlp_2.alpha
lora key not loaded: oft_unet_double_blocks_4_img_mlp_2.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_4_img_mod_lin.alpha
lora key not loaded: oft_unet_double_blocks_4_img_mod_lin.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_4_txt_attn_proj.alpha
lora key not loaded: oft_unet_double_blocks_4_txt_attn_proj.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_4_txt_attn_qkv.alpha
lora key not loaded: oft_unet_double_blocks_4_txt_attn_qkv.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_4_txt_attn_qkv.oft_blocks.1
lora key not loaded: oft_unet_double_blocks_4_txt_attn_qkv.oft_blocks.2
lora key not loaded: oft_unet_double_blocks_4_txt_mlp_0.alpha
lora key not loaded: oft_unet_double_blocks_4_txt_mlp_0.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_4_txt_mlp_2.alpha
lora key not loaded: oft_unet_double_blocks_4_txt_mlp_2.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_4_txt_mod_lin.alpha
lora key not loaded: oft_unet_double_blocks_4_txt_mod_lin.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_5_img_attn_proj.alpha
lora key not loaded: oft_unet_double_blocks_5_img_attn_proj.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_5_img_attn_qkv.alpha
lora key not loaded: oft_unet_double_blocks_5_img_attn_qkv.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_5_img_attn_qkv.oft_blocks.1
lora key not loaded: oft_unet_double_blocks_5_img_attn_qkv.oft_blocks.2
lora key not loaded: oft_unet_double_blocks_5_img_mlp_0.alpha
lora key not loaded: oft_unet_double_blocks_5_img_mlp_0.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_5_img_mlp_2.alpha
lora key not loaded: oft_unet_double_blocks_5_img_mlp_2.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_5_img_mod_lin.alpha
lora key not loaded: oft_unet_double_blocks_5_img_mod_lin.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_5_txt_attn_proj.alpha
lora key not loaded: oft_unet_double_blocks_5_txt_attn_proj.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_5_txt_attn_qkv.alpha
lora key not loaded: oft_unet_double_blocks_5_txt_attn_qkv.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_5_txt_attn_qkv.oft_blocks.1
lora key not loaded: oft_unet_double_blocks_5_txt_attn_qkv.oft_blocks.2
lora key not loaded: oft_unet_double_blocks_5_txt_mlp_0.alpha
lora key not loaded: oft_unet_double_blocks_5_txt_mlp_0.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_5_txt_mlp_2.alpha
lora key not loaded: oft_unet_double_blocks_5_txt_mlp_2.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_5_txt_mod_lin.alpha
lora key not loaded: oft_unet_double_blocks_5_txt_mod_lin.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_6_img_attn_proj.alpha
lora key not loaded: oft_unet_double_blocks_6_img_attn_proj.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_6_img_attn_qkv.alpha
lora key not loaded: oft_unet_double_blocks_6_img_attn_qkv.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_6_img_attn_qkv.oft_blocks.1
lora key not loaded: oft_unet_double_blocks_6_img_attn_qkv.oft_blocks.2
lora key not loaded: oft_unet_double_blocks_6_img_mlp_0.alpha
lora key not loaded: oft_unet_double_blocks_6_img_mlp_0.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_6_img_mlp_2.alpha
lora key not loaded: oft_unet_double_blocks_6_img_mlp_2.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_6_img_mod_lin.alpha
lora key not loaded: oft_unet_double_blocks_6_img_mod_lin.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_6_txt_attn_proj.alpha
lora key not loaded: oft_unet_double_blocks_6_txt_attn_proj.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_6_txt_attn_qkv.alpha
lora key not loaded: oft_unet_double_blocks_6_txt_attn_qkv.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_6_txt_attn_qkv.oft_blocks.1
lora key not loaded: oft_unet_double_blocks_6_txt_attn_qkv.oft_blocks.2
lora key not loaded: oft_unet_double_blocks_6_txt_mlp_0.alpha
lora key not loaded: oft_unet_double_blocks_6_txt_mlp_0.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_6_txt_mlp_2.alpha
lora key not loaded: oft_unet_double_blocks_6_txt_mlp_2.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_6_txt_mod_lin.alpha
lora key not loaded: oft_unet_double_blocks_6_txt_mod_lin.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_7_img_attn_proj.alpha
lora key not loaded: oft_unet_double_blocks_7_img_attn_proj.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_7_img_attn_qkv.alpha
lora key not loaded: oft_unet_double_blocks_7_img_attn_qkv.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_7_img_attn_qkv.oft_blocks.1
lora key not loaded: oft_unet_double_blocks_7_img_attn_qkv.oft_blocks.2
lora key not loaded: oft_unet_double_blocks_7_img_mlp_0.alpha
lora key not loaded: oft_unet_double_blocks_7_img_mlp_0.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_7_img_mlp_2.alpha
lora key not loaded: oft_unet_double_blocks_7_img_mlp_2.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_7_img_mod_lin.alpha
lora key not loaded: oft_unet_double_blocks_7_img_mod_lin.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_7_txt_attn_proj.alpha
lora key not loaded: oft_unet_double_blocks_7_txt_attn_proj.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_7_txt_attn_qkv.alpha
lora key not loaded: oft_unet_double_blocks_7_txt_attn_qkv.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_7_txt_attn_qkv.oft_blocks.1
lora key not loaded: oft_unet_double_blocks_7_txt_attn_qkv.oft_blocks.2
lora key not loaded: oft_unet_double_blocks_7_txt_mlp_0.alpha
lora key not loaded: oft_unet_double_blocks_7_txt_mlp_0.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_7_txt_mlp_2.alpha
lora key not loaded: oft_unet_double_blocks_7_txt_mlp_2.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_7_txt_mod_lin.alpha
lora key not loaded: oft_unet_double_blocks_7_txt_mod_lin.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_8_img_attn_proj.alpha
lora key not loaded: oft_unet_double_blocks_8_img_attn_proj.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_8_img_attn_qkv.alpha
lora key not loaded: oft_unet_double_blocks_8_img_attn_qkv.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_8_img_attn_qkv.oft_blocks.1
lora key not loaded: oft_unet_double_blocks_8_img_attn_qkv.oft_blocks.2
lora key not loaded: oft_unet_double_blocks_8_img_mlp_0.alpha
lora key not loaded: oft_unet_double_blocks_8_img_mlp_0.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_8_img_mlp_2.alpha
lora key not loaded: oft_unet_double_blocks_8_img_mlp_2.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_8_img_mod_lin.alpha
lora key not loaded: oft_unet_double_blocks_8_img_mod_lin.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_8_txt_attn_proj.alpha
lora key not loaded: oft_unet_double_blocks_8_txt_attn_proj.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_8_txt_attn_qkv.alpha
lora key not loaded: oft_unet_double_blocks_8_txt_attn_qkv.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_8_txt_attn_qkv.oft_blocks.1
lora key not loaded: oft_unet_double_blocks_8_txt_attn_qkv.oft_blocks.2
lora key not loaded: oft_unet_double_blocks_8_txt_mlp_0.alpha
lora key not loaded: oft_unet_double_blocks_8_txt_mlp_0.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_8_txt_mlp_2.alpha
lora key not loaded: oft_unet_double_blocks_8_txt_mlp_2.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_8_txt_mod_lin.alpha
lora key not loaded: oft_unet_double_blocks_8_txt_mod_lin.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_9_img_attn_proj.alpha
lora key not loaded: oft_unet_double_blocks_9_img_attn_proj.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_9_img_attn_qkv.alpha
lora key not loaded: oft_unet_double_blocks_9_img_attn_qkv.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_9_img_attn_qkv.oft_blocks.1
lora key not loaded: oft_unet_double_blocks_9_img_attn_qkv.oft_blocks.2
lora key not loaded: oft_unet_double_blocks_9_img_mlp_0.alpha
lora key not loaded: oft_unet_double_blocks_9_img_mlp_0.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_9_img_mlp_2.alpha
lora key not loaded: oft_unet_double_blocks_9_img_mlp_2.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_9_img_mod_lin.alpha
lora key not loaded: oft_unet_double_blocks_9_img_mod_lin.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_9_txt_attn_proj.alpha
lora key not loaded: oft_unet_double_blocks_9_txt_attn_proj.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_9_txt_attn_qkv.alpha
lora key not loaded: oft_unet_double_blocks_9_txt_attn_qkv.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_9_txt_attn_qkv.oft_blocks.1
lora key not loaded: oft_unet_double_blocks_9_txt_attn_qkv.oft_blocks.2
lora key not loaded: oft_unet_double_blocks_9_txt_mlp_0.alpha
lora key not loaded: oft_unet_double_blocks_9_txt_mlp_0.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_9_txt_mlp_2.alpha
lora key not loaded: oft_unet_double_blocks_9_txt_mlp_2.oft_blocks.0
lora key not loaded: oft_unet_double_blocks_9_txt_mod_lin.alpha
lora key not loaded: oft_unet_double_blocks_9_txt_mod_lin.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_0_linear1.alpha
lora key not loaded: oft_unet_single_blocks_0_linear1.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_0_linear1.oft_blocks.1
lora key not loaded: oft_unet_single_blocks_0_linear1.oft_blocks.2
lora key not loaded: oft_unet_single_blocks_0_linear1.oft_blocks.3
lora key not loaded: oft_unet_single_blocks_0_linear2.alpha
lora key not loaded: oft_unet_single_blocks_0_linear2.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_0_modulation_lin.alpha
lora key not loaded: oft_unet_single_blocks_0_modulation_lin.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_10_linear1.alpha
lora key not loaded: oft_unet_single_blocks_10_linear1.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_10_linear1.oft_blocks.1
lora key not loaded: oft_unet_single_blocks_10_linear1.oft_blocks.2
lora key not loaded: oft_unet_single_blocks_10_linear1.oft_blocks.3
lora key not loaded: oft_unet_single_blocks_10_linear2.alpha
lora key not loaded: oft_unet_single_blocks_10_linear2.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_10_modulation_lin.alpha
lora key not loaded: oft_unet_single_blocks_10_modulation_lin.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_11_linear1.alpha
lora key not loaded: oft_unet_single_blocks_11_linear1.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_11_linear1.oft_blocks.1
lora key not loaded: oft_unet_single_blocks_11_linear1.oft_blocks.2
lora key not loaded: oft_unet_single_blocks_11_linear1.oft_blocks.3
lora key not loaded: oft_unet_single_blocks_11_linear2.alpha
lora key not loaded: oft_unet_single_blocks_11_linear2.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_11_modulation_lin.alpha
lora key not loaded: oft_unet_single_blocks_11_modulation_lin.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_12_linear1.alpha
lora key not loaded: oft_unet_single_blocks_12_linear1.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_12_linear1.oft_blocks.1
lora key not loaded: oft_unet_single_blocks_12_linear1.oft_blocks.2
lora key not loaded: oft_unet_single_blocks_12_linear1.oft_blocks.3
lora key not loaded: oft_unet_single_blocks_12_linear2.alpha
lora key not loaded: oft_unet_single_blocks_12_linear2.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_12_modulation_lin.alpha
lora key not loaded: oft_unet_single_blocks_12_modulation_lin.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_13_linear1.alpha
lora key not loaded: oft_unet_single_blocks_13_linear1.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_13_linear1.oft_blocks.1
lora key not loaded: oft_unet_single_blocks_13_linear1.oft_blocks.2
lora key not loaded: oft_unet_single_blocks_13_linear1.oft_blocks.3
lora key not loaded: oft_unet_single_blocks_13_linear2.alpha
lora key not loaded: oft_unet_single_blocks_13_linear2.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_13_modulation_lin.alpha
lora key not loaded: oft_unet_single_blocks_13_modulation_lin.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_14_linear1.alpha
lora key not loaded: oft_unet_single_blocks_14_linear1.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_14_linear1.oft_blocks.1
lora key not loaded: oft_unet_single_blocks_14_linear1.oft_blocks.2
lora key not loaded: oft_unet_single_blocks_14_linear1.oft_blocks.3
lora key not loaded: oft_unet_single_blocks_14_linear2.alpha
lora key not loaded: oft_unet_single_blocks_14_linear2.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_14_modulation_lin.alpha
lora key not loaded: oft_unet_single_blocks_14_modulation_lin.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_15_linear1.alpha
lora key not loaded: oft_unet_single_blocks_15_linear1.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_15_linear1.oft_blocks.1
lora key not loaded: oft_unet_single_blocks_15_linear1.oft_blocks.2
lora key not loaded: oft_unet_single_blocks_15_linear1.oft_blocks.3
lora key not loaded: oft_unet_single_blocks_15_linear2.alpha
lora key not loaded: oft_unet_single_blocks_15_linear2.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_15_modulation_lin.alpha
lora key not loaded: oft_unet_single_blocks_15_modulation_lin.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_16_linear1.alpha
lora key not loaded: oft_unet_single_blocks_16_linear1.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_16_linear1.oft_blocks.1
lora key not loaded: oft_unet_single_blocks_16_linear1.oft_blocks.2
lora key not loaded: oft_unet_single_blocks_16_linear1.oft_blocks.3
lora key not loaded: oft_unet_single_blocks_16_linear2.alpha
lora key not loaded: oft_unet_single_blocks_16_linear2.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_16_modulation_lin.alpha
lora key not loaded: oft_unet_single_blocks_16_modulation_lin.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_17_linear1.alpha
lora key not loaded: oft_unet_single_blocks_17_linear1.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_17_linear1.oft_blocks.1
lora key not loaded: oft_unet_single_blocks_17_linear1.oft_blocks.2
lora key not loaded: oft_unet_single_blocks_17_linear1.oft_blocks.3
lora key not loaded: oft_unet_single_blocks_17_linear2.alpha
lora key not loaded: oft_unet_single_blocks_17_linear2.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_17_modulation_lin.alpha
lora key not loaded: oft_unet_single_blocks_17_modulation_lin.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_18_linear1.alpha
lora key not loaded: oft_unet_single_blocks_18_linear1.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_18_linear1.oft_blocks.1
lora key not loaded: oft_unet_single_blocks_18_linear1.oft_blocks.2
lora key not loaded: oft_unet_single_blocks_18_linear1.oft_blocks.3
lora key not loaded: oft_unet_single_blocks_18_linear2.alpha
lora key not loaded: oft_unet_single_blocks_18_linear2.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_18_modulation_lin.alpha
lora key not loaded: oft_unet_single_blocks_18_modulation_lin.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_19_linear1.alpha
lora key not loaded: oft_unet_single_blocks_19_linear1.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_19_linear1.oft_blocks.1
lora key not loaded: oft_unet_single_blocks_19_linear1.oft_blocks.2
lora key not loaded: oft_unet_single_blocks_19_linear1.oft_blocks.3
lora key not loaded: oft_unet_single_blocks_19_linear2.alpha
lora key not loaded: oft_unet_single_blocks_19_linear2.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_19_modulation_lin.alpha
lora key not loaded: oft_unet_single_blocks_19_modulation_lin.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_1_linear1.alpha
lora key not loaded: oft_unet_single_blocks_1_linear1.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_1_linear1.oft_blocks.1
lora key not loaded: oft_unet_single_blocks_1_linear1.oft_blocks.2
lora key not loaded: oft_unet_single_blocks_1_linear1.oft_blocks.3
lora key not loaded: oft_unet_single_blocks_1_linear2.alpha
lora key not loaded: oft_unet_single_blocks_1_linear2.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_1_modulation_lin.alpha
lora key not loaded: oft_unet_single_blocks_1_modulation_lin.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_20_linear1.alpha
lora key not loaded: oft_unet_single_blocks_20_linear1.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_20_linear1.oft_blocks.1
lora key not loaded: oft_unet_single_blocks_20_linear1.oft_blocks.2
lora key not loaded: oft_unet_single_blocks_20_linear1.oft_blocks.3
lora key not loaded: oft_unet_single_blocks_20_linear2.alpha
lora key not loaded: oft_unet_single_blocks_20_linear2.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_20_modulation_lin.alpha
lora key not loaded: oft_unet_single_blocks_20_modulation_lin.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_21_linear1.alpha
lora key not loaded: oft_unet_single_blocks_21_linear1.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_21_linear1.oft_blocks.1
lora key not loaded: oft_unet_single_blocks_21_linear1.oft_blocks.2
lora key not loaded: oft_unet_single_blocks_21_linear1.oft_blocks.3
lora key not loaded: oft_unet_single_blocks_21_linear2.alpha
lora key not loaded: oft_unet_single_blocks_21_linear2.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_21_modulation_lin.alpha
lora key not loaded: oft_unet_single_blocks_21_modulation_lin.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_22_linear1.alpha
lora key not loaded: oft_unet_single_blocks_22_linear1.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_22_linear1.oft_blocks.1
lora key not loaded: oft_unet_single_blocks_22_linear1.oft_blocks.2
lora key not loaded: oft_unet_single_blocks_22_linear1.oft_blocks.3
lora key not loaded: oft_unet_single_blocks_22_linear2.alpha
lora key not loaded: oft_unet_single_blocks_22_linear2.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_22_modulation_lin.alpha
lora key not loaded: oft_unet_single_blocks_22_modulation_lin.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_23_linear1.alpha
lora key not loaded: oft_unet_single_blocks_23_linear1.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_23_linear1.oft_blocks.1
lora key not loaded: oft_unet_single_blocks_23_linear1.oft_blocks.2
lora key not loaded: oft_unet_single_blocks_23_linear1.oft_blocks.3
lora key not loaded: oft_unet_single_blocks_23_linear2.alpha
lora key not loaded: oft_unet_single_blocks_23_linear2.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_23_modulation_lin.alpha
lora key not loaded: oft_unet_single_blocks_23_modulation_lin.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_24_linear1.alpha
lora key not loaded: oft_unet_single_blocks_24_linear1.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_24_linear1.oft_blocks.1
lora key not loaded: oft_unet_single_blocks_24_linear1.oft_blocks.2
lora key not loaded: oft_unet_single_blocks_24_linear1.oft_blocks.3
lora key not loaded: oft_unet_single_blocks_24_linear2.alpha
lora key not loaded: oft_unet_single_blocks_24_linear2.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_24_modulation_lin.alpha
lora key not loaded: oft_unet_single_blocks_24_modulation_lin.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_25_linear1.alpha
lora key not loaded: oft_unet_single_blocks_25_linear1.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_25_linear1.oft_blocks.1
lora key not loaded: oft_unet_single_blocks_25_linear1.oft_blocks.2
lora key not loaded: oft_unet_single_blocks_25_linear1.oft_blocks.3
lora key not loaded: oft_unet_single_blocks_25_linear2.alpha
lora key not loaded: oft_unet_single_blocks_25_linear2.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_25_modulation_lin.alpha
lora key not loaded: oft_unet_single_blocks_25_modulation_lin.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_26_linear1.alpha
lora key not loaded: oft_unet_single_blocks_26_linear1.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_26_linear1.oft_blocks.1
lora key not loaded: oft_unet_single_blocks_26_linear1.oft_blocks.2
lora key not loaded: oft_unet_single_blocks_26_linear1.oft_blocks.3
lora key not loaded: oft_unet_single_blocks_26_linear2.alpha
lora key not loaded: oft_unet_single_blocks_26_linear2.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_26_modulation_lin.alpha
lora key not loaded: oft_unet_single_blocks_26_modulation_lin.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_27_linear1.alpha
lora key not loaded: oft_unet_single_blocks_27_linear1.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_27_linear1.oft_blocks.1
lora key not loaded: oft_unet_single_blocks_27_linear1.oft_blocks.2
lora key not loaded: oft_unet_single_blocks_27_linear1.oft_blocks.3
lora key not loaded: oft_unet_single_blocks_27_linear2.alpha
lora key not loaded: oft_unet_single_blocks_27_linear2.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_27_modulation_lin.alpha
lora key not loaded: oft_unet_single_blocks_27_modulation_lin.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_28_linear1.alpha
lora key not loaded: oft_unet_single_blocks_28_linear1.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_28_linear1.oft_blocks.1
lora key not loaded: oft_unet_single_blocks_28_linear1.oft_blocks.2
lora key not loaded: oft_unet_single_blocks_28_linear1.oft_blocks.3
lora key not loaded: oft_unet_single_blocks_28_linear2.alpha
lora key not loaded: oft_unet_single_blocks_28_linear2.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_28_modulation_lin.alpha
lora key not loaded: oft_unet_single_blocks_28_modulation_lin.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_29_linear1.alpha
lora key not loaded: oft_unet_single_blocks_29_linear1.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_29_linear1.oft_blocks.1
lora key not loaded: oft_unet_single_blocks_29_linear1.oft_blocks.2
lora key not loaded: oft_unet_single_blocks_29_linear1.oft_blocks.3
lora key not loaded: oft_unet_single_blocks_29_linear2.alpha
lora key not loaded: oft_unet_single_blocks_29_linear2.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_29_modulation_lin.alpha
lora key not loaded: oft_unet_single_blocks_29_modulation_lin.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_2_linear1.alpha
lora key not loaded: oft_unet_single_blocks_2_linear1.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_2_linear1.oft_blocks.1
lora key not loaded: oft_unet_single_blocks_2_linear1.oft_blocks.2
lora key not loaded: oft_unet_single_blocks_2_linear1.oft_blocks.3
lora key not loaded: oft_unet_single_blocks_2_linear2.alpha
lora key not loaded: oft_unet_single_blocks_2_linear2.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_2_modulation_lin.alpha
lora key not loaded: oft_unet_single_blocks_2_modulation_lin.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_30_linear1.alpha
lora key not loaded: oft_unet_single_blocks_30_linear1.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_30_linear1.oft_blocks.1
lora key not loaded: oft_unet_single_blocks_30_linear1.oft_blocks.2
lora key not loaded: oft_unet_single_blocks_30_linear1.oft_blocks.3
lora key not loaded: oft_unet_single_blocks_30_linear2.alpha
lora key not loaded: oft_unet_single_blocks_30_linear2.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_30_modulation_lin.alpha
lora key not loaded: oft_unet_single_blocks_30_modulation_lin.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_31_linear1.alpha
lora key not loaded: oft_unet_single_blocks_31_linear1.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_31_linear1.oft_blocks.1
lora key not loaded: oft_unet_single_blocks_31_linear1.oft_blocks.2
lora key not loaded: oft_unet_single_blocks_31_linear1.oft_blocks.3
lora key not loaded: oft_unet_single_blocks_31_linear2.alpha
lora key not loaded: oft_unet_single_blocks_31_linear2.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_31_modulation_lin.alpha
lora key not loaded: oft_unet_single_blocks_31_modulation_lin.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_32_linear1.alpha
lora key not loaded: oft_unet_single_blocks_32_linear1.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_32_linear1.oft_blocks.1
lora key not loaded: oft_unet_single_blocks_32_linear1.oft_blocks.2
lora key not loaded: oft_unet_single_blocks_32_linear1.oft_blocks.3
lora key not loaded: oft_unet_single_blocks_32_linear2.alpha
lora key not loaded: oft_unet_single_blocks_32_linear2.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_32_modulation_lin.alpha
lora key not loaded: oft_unet_single_blocks_32_modulation_lin.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_33_linear1.alpha
lora key not loaded: oft_unet_single_blocks_33_linear1.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_33_linear1.oft_blocks.1
lora key not loaded: oft_unet_single_blocks_33_linear1.oft_blocks.2
lora key not loaded: oft_unet_single_blocks_33_linear1.oft_blocks.3
lora key not loaded: oft_unet_single_blocks_33_linear2.alpha
lora key not loaded: oft_unet_single_blocks_33_linear2.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_33_modulation_lin.alpha
lora key not loaded: oft_unet_single_blocks_33_modulation_lin.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_34_linear1.alpha
lora key not loaded: oft_unet_single_blocks_34_linear1.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_34_linear1.oft_blocks.1
lora key not loaded: oft_unet_single_blocks_34_linear1.oft_blocks.2
lora key not loaded: oft_unet_single_blocks_34_linear1.oft_blocks.3
lora key not loaded: oft_unet_single_blocks_34_linear2.alpha
lora key not loaded: oft_unet_single_blocks_34_linear2.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_34_modulation_lin.alpha
lora key not loaded: oft_unet_single_blocks_34_modulation_lin.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_35_linear1.alpha
lora key not loaded: oft_unet_single_blocks_35_linear1.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_35_linear1.oft_blocks.1
lora key not loaded: oft_unet_single_blocks_35_linear1.oft_blocks.2
lora key not loaded: oft_unet_single_blocks_35_linear1.oft_blocks.3
lora key not loaded: oft_unet_single_blocks_35_linear2.alpha
lora key not loaded: oft_unet_single_blocks_35_linear2.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_35_modulation_lin.alpha
lora key not loaded: oft_unet_single_blocks_35_modulation_lin.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_36_linear1.alpha
lora key not loaded: oft_unet_single_blocks_36_linear1.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_36_linear1.oft_blocks.1
lora key not loaded: oft_unet_single_blocks_36_linear1.oft_blocks.2
lora key not loaded: oft_unet_single_blocks_36_linear1.oft_blocks.3
lora key not loaded: oft_unet_single_blocks_36_linear2.alpha
lora key not loaded: oft_unet_single_blocks_36_linear2.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_36_modulation_lin.alpha
lora key not loaded: oft_unet_single_blocks_36_modulation_lin.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_37_linear1.alpha
lora key not loaded: oft_unet_single_blocks_37_linear1.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_37_linear1.oft_blocks.1
lora key not loaded: oft_unet_single_blocks_37_linear1.oft_blocks.2
lora key not loaded: oft_unet_single_blocks_37_linear1.oft_blocks.3
lora key not loaded: oft_unet_single_blocks_37_linear2.alpha
lora key not loaded: oft_unet_single_blocks_37_linear2.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_37_modulation_lin.alpha
lora key not loaded: oft_unet_single_blocks_37_modulation_lin.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_3_linear1.alpha
lora key not loaded: oft_unet_single_blocks_3_linear1.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_3_linear1.oft_blocks.1
lora key not loaded: oft_unet_single_blocks_3_linear1.oft_blocks.2
lora key not loaded: oft_unet_single_blocks_3_linear1.oft_blocks.3
lora key not loaded: oft_unet_single_blocks_3_linear2.alpha
lora key not loaded: oft_unet_single_blocks_3_linear2.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_3_modulation_lin.alpha
lora key not loaded: oft_unet_single_blocks_3_modulation_lin.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_4_linear1.alpha
lora key not loaded: oft_unet_single_blocks_4_linear1.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_4_linear1.oft_blocks.1
lora key not loaded: oft_unet_single_blocks_4_linear1.oft_blocks.2
lora key not loaded: oft_unet_single_blocks_4_linear1.oft_blocks.3
lora key not loaded: oft_unet_single_blocks_4_linear2.alpha
lora key not loaded: oft_unet_single_blocks_4_linear2.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_4_modulation_lin.alpha
lora key not loaded: oft_unet_single_blocks_4_modulation_lin.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_5_linear1.alpha
lora key not loaded: oft_unet_single_blocks_5_linear1.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_5_linear1.oft_blocks.1
lora key not loaded: oft_unet_single_blocks_5_linear1.oft_blocks.2
lora key not loaded: oft_unet_single_blocks_5_linear1.oft_blocks.3
lora key not loaded: oft_unet_single_blocks_5_linear2.alpha
lora key not loaded: oft_unet_single_blocks_5_linear2.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_5_modulation_lin.alpha
lora key not loaded: oft_unet_single_blocks_5_modulation_lin.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_6_linear1.alpha
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lora key not loaded: oft_unet_single_blocks_6_linear1.oft_blocks.3
lora key not loaded: oft_unet_single_blocks_6_linear2.alpha
lora key not loaded: oft_unet_single_blocks_6_linear2.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_6_modulation_lin.alpha
lora key not loaded: oft_unet_single_blocks_6_modulation_lin.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_7_linear1.alpha
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lora key not loaded: oft_unet_single_blocks_7_linear1.oft_blocks.3
lora key not loaded: oft_unet_single_blocks_7_linear2.alpha
lora key not loaded: oft_unet_single_blocks_7_linear2.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_7_modulation_lin.alpha
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lora key not loaded: oft_unet_single_blocks_8_linear1.oft_blocks.3
lora key not loaded: oft_unet_single_blocks_8_linear2.alpha
lora key not loaded: oft_unet_single_blocks_8_linear2.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_8_modulation_lin.alpha
lora key not loaded: oft_unet_single_blocks_8_modulation_lin.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_9_linear1.alpha
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lora key not loaded: oft_unet_single_blocks_9_linear1.oft_blocks.1
lora key not loaded: oft_unet_single_blocks_9_linear1.oft_blocks.2
lora key not loaded: oft_unet_single_blocks_9_linear1.oft_blocks.3
lora key not loaded: oft_unet_single_blocks_9_linear2.alpha
lora key not loaded: oft_unet_single_blocks_9_linear2.oft_blocks.0
lora key not loaded: oft_unet_single_blocks_9_modulation_lin.alpha
lora key not loaded: oft_unet_single_blocks_9_modulation_lin.oft_blocks.0

[comfyanonymous]

any example lora file?

[axel578]

any example lora file?

I should have directly sent it at first, here it is: https://drive.google.com/file/d/1HATMcrcrLLRwTcqnnokD7Lm5dVUtz2NB/view?usp=sharing

[KohakuBlueleaf]

I think ComfyUI 0.3.31 have a working version of OFT and BOFT You may want to check it

related PR: https://github.com/comfyanonymous/ComfyUI/pull/7725 https://github.com/comfyanonymous/ComfyUI/pull/7909

[huntedman]

I gave it a shot, unfortunately, can't load a flux lora trained via kohya_sd using network_module = "networks.oft_flux".

# ComfyUI Error Report
## Error Details
- **Node ID:** 42
- **Node Type:** KSampler
- **Exception Type:** RuntimeError
- **Exception Message:** mat1 and mat2 shapes cannot be multiplied (77x2048 and 4096x3072)
## Stack Trace

File "/root/comfy/ComfyUI/execution.py", line 347, in execute output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/root/comfy/ComfyUI/execution.py", line 222, in get_output_data return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/root/comfy/ComfyUI/execution.py", line 194, in _map_node_over_list process_inputs(input_dict, i)

File "/root/comfy/ComfyUI/execution.py", line 183, in process_inputs results.append(getattr(obj, func)(**inputs)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/root/comfy/ComfyUI/nodes.py", line 1522, in sample return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/root/comfy/ComfyUI/nodes.py", line 1489, in common_ksampler samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/root/comfy/ComfyUI/comfy/sample.py", line 45, in sample samples = sampler.sample(noise, positive, negative, cfg=cfg, latent_image=latent_image, start_step=start_step, last_step=last_step, force_full_denoise=force_full_denoise, denoise_mask=noise_mask, sigmas=sigmas, callback=callback, disable_pbar=disable_pbar, seed=seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/root/comfy/ComfyUI/comfy/samplers.py", line 1133, in sample return sample(self.model, noise, positive, negative, cfg, self.device, sampler, sigmas, self.model_options, latent_image=latent_image, denoise_mask=denoise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/root/comfy/ComfyUI/comfy/samplers.py", line 1023, in sample return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/root/comfy/ComfyUI/comfy/samplers.py", line 1008, in sample output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/root/comfy/ComfyUI/comfy/patcher_extension.py", line 111, in execute return self.original(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/root/comfy/ComfyUI/comfy/samplers.py", line 976, in outer_sample output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/root/comfy/ComfyUI/comfy/samplers.py", line 959, in inner_sample samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/root/comfy/ComfyUI/comfy/patcher_extension.py", line 111, in execute return self.original(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/root/comfy/ComfyUI/comfy/samplers.py", line 738, in sample samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/usr/local/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context return func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^

File "/root/comfy/ComfyUI/comfy/k_diffusion/sampling.py", line 174, in sample_euler_ancestral return sample_euler_ancestral_RF(model, x, sigmas, extra_args, callback, disable, eta, s_noise, noise_sampler) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/usr/local/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context return func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^

File "/root/comfy/ComfyUI/comfy/k_diffusion/sampling.py", line 203, in sample_euler_ancestral_RF denoised = model(x, sigmas[i] * s_in, **extra_args) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/root/comfy/ComfyUI/comfy/samplers.py", line 390, in call out = self.inner_model(x, sigma, model_options=model_options, seed=seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/root/comfy/ComfyUI/comfy/samplers.py", line 939, in call return self.predict_noise(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/root/comfy/ComfyUI/comfy/samplers.py", line 942, in predict_noise return sampling_function(self.inner_model, x, timestep, self.conds.get("negative", None), self.conds.get("positive", None), self.cfg, model_options=model_options, seed=seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/root/comfy/ComfyUI/comfy/samplers.py", line 370, in sampling_function out = calc_cond_batch(model, conds, x, timestep, model_options) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/root/comfy/ComfyUI/comfy/samplers.py", line 206, in calc_cond_batch return executor.execute(model, conds, x_in, timestep, model_options) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/root/comfy/ComfyUI/comfy/patcher_extension.py", line 111, in execute return self.original(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/root/comfy/ComfyUI/comfy/samplers.py", line 319, in calc_cond_batch output = model.apply_model(input_x, timestep, **c).chunk(batch_chunks) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/root/comfy/ComfyUI/comfy/model_base.py", line 139, in apply_model return comfy.patcher_extension.WrapperExecutor.new_class_executor( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/root/comfy/ComfyUI/comfy/patcher_extension.py", line 111, in execute return self.original(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/root/comfy/ComfyUI/comfy/model_base.py", line 172, in _apply_model model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float() ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/usr/local/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl return self._call_impl(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/usr/local/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1762, in _call_impl return forward_call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/root/comfy/ComfyUI/comfy/ldm/flux/model.py", line 206, in forward out = self.forward_orig(img, img_ids, context, txt_ids, timestep, y, guidance, control, transformer_options, attn_mask=kwargs.get("attention_mask", None)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/root/comfy/ComfyUI/comfy/ldm/flux/model.py", line 116, in forward_orig txt = self.txt_in(txt) ^^^^^^^^^^^^^^^^

File "/usr/local/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl return self._call_impl(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/usr/local/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1762, in _call_impl return forward_call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/root/comfy/ComfyUI/comfy/ops.py", line 86, in forward return super().forward(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/usr/local/lib/python3.11/site-packages/torch/nn/modules/linear.py", line 125, in forward return F.linear(input, self.weight, self.bias) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

## System Information
- **ComfyUI Version:** 0.3.31
- **Arguments:** main.py --listen 0.0.0.0 --port 8000
- **OS:** posix
- **Python Version:** 3.11.5 (main, Aug 26 2023, 07:22:50) [Clang 16.0.3 ]
- **Embedded Python:** false
- **PyTorch Version:** 2.7.0+cu126
## Devices

- **Name:** cuda:0 NVIDIA A100-SXM4-40GB : cudaMallocAsync
  - **Type:** cuda
  - **VRAM Total:** 42406903808
  - **VRAM Free:** 16395821880
  - **Torch VRAM Total:** 25467813888
  - **Torch VRAM Free:** 19817272

## Logs

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Exception during processing !!! mat1 and mat2 shapes cannot be multiplied (77x2048 and 4096x3072) 2025-05-04T12:06:55.234025 - Traceback (most recent call last): File "/root/comfy/ComfyUI/execution.py", line 347, in execute output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/execution.py", line 222, in get_output_data return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/execution.py", line 194, in _map_node_over_list process_inputs(input_dict, i) File "/root/comfy/ComfyUI/execution.py", line 183, in process_inputs results.append(getattr(obj, func)(**inputs)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/nodes.py", line 1522, in sample return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/nodes.py", line 1489, in common_ksampler samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/sample.py", line 45, in sample samples = sampler.sample(noise, positive, negative, cfg=cfg, latent_image=latent_image, start_step=start_step, last_step=last_step, force_full_denoise=force_full_denoise, denoise_mask=noise_mask, sigmas=sigmas, callback=callback, disable_pbar=disable_pbar, seed=seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 1133, in sample return sample(self.model, noise, positive, negative, cfg, self.device, sampler, sigmas, self.model_options, latent_image=latent_image, denoise_mask=denoise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 1023, in sample return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 1008, in sample output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/patcher_extension.py", line 111, in execute return self.original(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 976, in outer_sample output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 959, in inner_sample samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/patcher_extension.py", line 111, in execute return self.original(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 738, in sample samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context return func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/k_diffusion/sampling.py", line 174, in sample_euler_ancestral return sample_euler_ancestral_RF(model, x, sigmas, extra_args, callback, disable, eta, s_noise, noise_sampler) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context return func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/k_diffusion/sampling.py", line 203, in sample_euler_ancestral_RF denoised = model(x, sigmas[i] * s_in, **extra_args) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 390, in call out = self.inner_model(x, sigma, model_options=model_options, seed=seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 939, in call return self.predict_noise(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 942, in predict_noise return sampling_function(self.inner_model, x, timestep, self.conds.get("negative", None), self.conds.get("positive", None), self.cfg, model_options=model_options, seed=seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 370, in sampling_function out = calc_cond_batch(model, conds, x, timestep, model_options) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 206, in calc_cond_batch return executor.execute(model, conds, x_in, timestep, model_options) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/patcher_extension.py", line 111, in execute return self.original(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 319, in calc_cond_batch output = model.apply_model(input_x, timestep, **c).chunk(batch_chunks) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/model_base.py", line 139, in apply_model return comfy.patcher_extension.WrapperExecutor.new_class_executor( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/patcher_extension.py", line 111, in execute return self.original(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/model_base.py", line 172, in _apply_model model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float() ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl return self._call_impl(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1762, in _call_impl return forward_call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/ldm/flux/model.py", line 206, in forward out = self.forward_orig(img, img_ids, context, txt_ids, timestep, y, guidance, control, transformer_options, attn_mask=kwargs.get("attention_mask", None)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/ldm/flux/model.py", line 116, in forward_orig txt = self.txt_in(txt) ^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl return self._call_impl(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1762, in _call_impl return forward_call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/ops.py", line 86, in forward return super().forward(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/site-packages/torch/nn/modules/linear.py", line 125, in forward return F.linear(input, self.weight, self.bias) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ RuntimeError: mat1 and mat2 shapes cannot be multiplied (77x2048 and 4096x3072)

2025-05-04T12:06:55.236287 - Prompt executed in 23.68 seconds 2025-05-04T12:07:06.169760 - got prompt 2025-05-04T12:07:06.263903 - 0%| | 0/30 [00:00<?, ?it/s]2025-05-04T12:07:06.267670 - 0%| | 0/30 [00:00<?, ?it/s]2025-05-04T12:07:06.267744 - 2025-05-04T12:07:06.270021 - !!! Exception during processing !!! mat1 and mat2 shapes cannot be multiplied (77x2048 and 4096x3072) 2025-05-04T12:07:06.272040 - Traceback (most recent call last): File "/root/comfy/ComfyUI/execution.py", line 347, in execute output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/execution.py", line 222, in get_output_data return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/execution.py", line 194, in _map_node_over_list process_inputs(input_dict, i) File "/root/comfy/ComfyUI/execution.py", line 183, in process_inputs results.append(getattr(obj, func)(**inputs)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/nodes.py", line 1522, in sample return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/nodes.py", line 1489, in common_ksampler samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/sample.py", line 45, in sample samples = sampler.sample(noise, positive, negative, cfg=cfg, latent_image=latent_image, start_step=start_step, last_step=last_step, force_full_denoise=force_full_denoise, denoise_mask=noise_mask, sigmas=sigmas, callback=callback, disable_pbar=disable_pbar, seed=seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 1133, in sample return sample(self.model, noise, positive, negative, cfg, self.device, sampler, sigmas, self.model_options, latent_image=latent_image, denoise_mask=denoise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 1023, in sample return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 1008, in sample output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/patcher_extension.py", line 111, in execute return self.original(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 976, in outer_sample output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 959, in inner_sample samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/patcher_extension.py", line 111, in execute return self.original(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 738, in sample samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context return func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/k_diffusion/sampling.py", line 174, in sample_euler_ancestral return sample_euler_ancestral_RF(model, x, sigmas, extra_args, callback, disable, eta, s_noise, noise_sampler) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context return func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/k_diffusion/sampling.py", line 203, in sample_euler_ancestral_RF denoised = model(x, sigmas[i] * s_in, **extra_args) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 390, in call out = self.inner_model(x, sigma, model_options=model_options, seed=seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 939, in call return self.predict_noise(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 942, in predict_noise return sampling_function(self.inner_model, x, timestep, self.conds.get("negative", None), self.conds.get("positive", None), self.cfg, model_options=model_options, seed=seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 370, in sampling_function out = calc_cond_batch(model, conds, x, timestep, model_options) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 206, in calc_cond_batch return executor.execute(model, conds, x_in, timestep, model_options) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/patcher_extension.py", line 111, in execute return self.original(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 319, in calc_cond_batch output = model.apply_model(input_x, timestep, **c).chunk(batch_chunks) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/model_base.py", line 139, in apply_model return comfy.patcher_extension.WrapperExecutor.new_class_executor( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/patcher_extension.py", line 111, in execute return self.original(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/model_base.py", line 172, in _apply_model model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float() ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl return self._call_impl(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1762, in _call_impl return forward_call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/ldm/flux/model.py", line 206, in forward out = self.forward_orig(img, img_ids, context, txt_ids, timestep, y, guidance, control, transformer_options, attn_mask=kwargs.get("attention_mask", None)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/ldm/flux/model.py", line 116, in forward_orig txt = self.txt_in(txt) ^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl return self._call_impl(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1762, in _call_impl return forward_call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/ops.py", line 86, in forward return super().forward(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/site-packages/torch/nn/modules/linear.py", line 125, in forward return F.linear(input, self.weight, self.bias) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ RuntimeError: mat1 and mat2 shapes cannot be multiplied (77x2048 and 4096x3072)

2025-05-04T12:07:06.274071 - Prompt executed in 0.07 seconds 2025-05-04T12:07:13.233421 - got prompt 2025-05-04T12:07:13.280845 - 0%| | 0/30 [00:00<?, ?it/s]2025-05-04T12:07:13.284193 - 0%| | 0/30 [00:00<?, ?it/s]2025-05-04T12:07:13.284279 - 2025-05-04T12:07:13.286581 - !!! Exception during processing !!! mat1 and mat2 shapes cannot be multiplied (77x2048 and 4096x3072) 2025-05-04T12:07:13.289050 - Traceback (most recent call last): File "/root/comfy/ComfyUI/execution.py", line 347, in execute output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/execution.py", line 222, in get_output_data return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/execution.py", line 194, in _map_node_over_list process_inputs(input_dict, i) File "/root/comfy/ComfyUI/execution.py", line 183, in process_inputs results.append(getattr(obj, func)(**inputs)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/nodes.py", line 1522, in sample return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/nodes.py", line 1489, in common_ksampler samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/sample.py", line 45, in sample samples = sampler.sample(noise, positive, negative, cfg=cfg, latent_image=latent_image, start_step=start_step, last_step=last_step, force_full_denoise=force_full_denoise, denoise_mask=noise_mask, sigmas=sigmas, callback=callback, disable_pbar=disable_pbar, seed=seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 1133, in sample return sample(self.model, noise, positive, negative, cfg, self.device, sampler, sigmas, self.model_options, latent_image=latent_image, denoise_mask=denoise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 1023, in sample return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 1008, in sample output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/patcher_extension.py", line 111, in execute return self.original(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 976, in outer_sample output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 959, in inner_sample samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/patcher_extension.py", line 111, in execute return self.original(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 738, in sample samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context return func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/k_diffusion/sampling.py", line 174, in sample_euler_ancestral return sample_euler_ancestral_RF(model, x, sigmas, extra_args, callback, disable, eta, s_noise, noise_sampler) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context return func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/k_diffusion/sampling.py", line 203, in sample_euler_ancestral_RF denoised = model(x, sigmas[i] * s_in, **extra_args) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 390, in call out = self.inner_model(x, sigma, model_options=model_options, seed=seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 939, in call return self.predict_noise(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 942, in predict_noise return sampling_function(self.inner_model, x, timestep, self.conds.get("negative", None), self.conds.get("positive", None), self.cfg, model_options=model_options, seed=seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 370, in sampling_function out = calc_cond_batch(model, conds, x, timestep, model_options) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 206, in calc_cond_batch return executor.execute(model, conds, x_in, timestep, model_options) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/patcher_extension.py", line 111, in execute return self.original(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 319, in calc_cond_batch output = model.apply_model(input_x, timestep, **c).chunk(batch_chunks) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/model_base.py", line 139, in apply_model return comfy.patcher_extension.WrapperExecutor.new_class_executor( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/patcher_extension.py", line 111, in execute return self.original(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/model_base.py", line 172, in _apply_model model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float() ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl return self._call_impl(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1762, in _call_impl return forward_call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/ldm/flux/model.py", line 206, in forward out = self.forward_orig(img, img_ids, context, txt_ids, timestep, y, guidance, control, transformer_options, attn_mask=kwargs.get("attention_mask", None)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/ldm/flux/model.py", line 116, in forward_orig txt = self.txt_in(txt) ^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl return self._call_impl(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1762, in _call_impl return forward_call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/ops.py", line 86, in forward return super().forward(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/site-packages/torch/nn/modules/linear.py", line 125, in forward return F.linear(input, self.weight, self.bias) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ RuntimeError: mat1 and mat2 shapes cannot be multiplied (77x2048 and 4096x3072)

2025-05-04T12:07:13.291689 - Prompt executed in 0.02 seconds 2025-05-04T12:07:27.965708 - got prompt 2025-05-04T12:07:28.007128 - 0%| | 0/30 [00:00<?, ?it/s]2025-05-04T12:07:28.011050 - 0%| | 0/30 [00:00<?, ?it/s]2025-05-04T12:07:28.011140 - 2025-05-04T12:07:28.013558 - !!! Exception during processing !!! mat1 and mat2 shapes cannot be multiplied (77x2048 and 4096x3072) 2025-05-04T12:07:28.015608 - Traceback (most recent call last): File "/root/comfy/ComfyUI/execution.py", line 347, in execute output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/execution.py", line 222, in get_output_data return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/execution.py", line 194, in _map_node_over_list process_inputs(input_dict, i) File "/root/comfy/ComfyUI/execution.py", line 183, in process_inputs results.append(getattr(obj, func)(**inputs)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/nodes.py", line 1522, in sample return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/nodes.py", line 1489, in common_ksampler samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/sample.py", line 45, in sample samples = sampler.sample(noise, positive, negative, cfg=cfg, latent_image=latent_image, start_step=start_step, last_step=last_step, force_full_denoise=force_full_denoise, denoise_mask=noise_mask, sigmas=sigmas, callback=callback, disable_pbar=disable_pbar, seed=seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 1133, in sample return sample(self.model, noise, positive, negative, cfg, self.device, sampler, sigmas, self.model_options, latent_image=latent_image, denoise_mask=denoise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 1023, in sample return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 1008, in sample output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/patcher_extension.py", line 111, in execute return self.original(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 976, in outer_sample output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 959, in inner_sample samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/patcher_extension.py", line 111, in execute return self.original(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 738, in sample samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context return func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/k_diffusion/sampling.py", line 174, in sample_euler_ancestral return sample_euler_ancestral_RF(model, x, sigmas, extra_args, callback, disable, eta, s_noise, noise_sampler) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context return func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/k_diffusion/sampling.py", line 203, in sample_euler_ancestral_RF denoised = model(x, sigmas[i] * s_in, **extra_args) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 390, in call out = self.inner_model(x, sigma, model_options=model_options, seed=seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 939, in call return self.predict_noise(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 942, in predict_noise return sampling_function(self.inner_model, x, timestep, self.conds.get("negative", None), self.conds.get("positive", None), self.cfg, model_options=model_options, seed=seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 370, in sampling_function out = calc_cond_batch(model, conds, x, timestep, model_options) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 206, in calc_cond_batch return executor.execute(model, conds, x_in, timestep, model_options) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/patcher_extension.py", line 111, in execute return self.original(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/samplers.py", line 319, in calc_cond_batch output = model.apply_model(input_x, timestep, **c).chunk(batch_chunks) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/model_base.py", line 139, in apply_model return comfy.patcher_extension.WrapperExecutor.new_class_executor( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/patcher_extension.py", line 111, in execute return self.original(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/model_base.py", line 172, in _apply_model model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float() ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl return self._call_impl(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1762, in _call_impl return forward_call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/ldm/flux/model.py", line 206, in forward out = self.forward_orig(img, img_ids, context, txt_ids, timestep, y, guidance, control, transformer_options, attn_mask=kwargs.get("attention_mask", None)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/ldm/flux/model.py", line 116, in forward_orig txt = self.txt_in(txt) ^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl return self._call_impl(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1762, in _call_impl return forward_call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/comfy/ComfyUI/comfy/ops.py", line 86, in forward return super().forward(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/site-packages/torch/nn/modules/linear.py", line 125, in forward return F.linear(input, self.weight, self.bias) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ RuntimeError: mat1 and mat2 shapes cannot be multiplied (77x2048 and 4096x3072)

2025-05-04T12:07:28.017574 - Prompt executed in 0.02 seconds

## Attached Workflow
Please make sure that workflow does not contain any sensitive information such as API keys or passwords.

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## Additional Context
(Please add any additional context or steps to reproduce the error here)

[KohakuBlueleaf]

@huntedman Can you try to train with LyCORIS at first? (LyCORIS have OFT and BOFT, both are supported in current ComfyUI) I will try to make some util (or built-in processing) to adapt the state_key scheme of kohya's impl