FLUX on Forge – “You do not have CLIP state dict!” even with clip_g.safetensors (RTX 3060 12GB)

[damianmaz1992-gif]

Details: Hi! I’m trying to run FLUX (flux1-dev.safetensors) on Stable Diffusion Forge and I keep getting: AssertionError: You do not have CLIP state dict! You do not have CLIP state dict! What I’ve done: Text encoders: models\text_encoder\t5xxl_fp16.safetensors (selected in UI) clip_g.safetensors (OpenCLIP ViT-G/14) copied to: models\text_encoder\clip_g.safetensors models\text_encoders\clip_g.safetensors models\Stable-diffusion\clip_g.safetensors (next to flux1-dev.safetensors) Vision encoder: models\clip_vision\CLIP-ViT-bigG-14-laion2B-39B-b160k.safetensors Restarted Forge + Settings → Unload all models. UI: Checkpoint = flux1-dev.safetensors, WaI/Text Encoder = t5xxl_fp16.safetensors. Log tail: File "backend/loader.py", line 63, in load_huggingface_component raise AssertionError('You do not have CLIP state dict!') AssertionError: You do not have CLIP state dict! Env: Fresh Forge (latest commit) RTX 3060 12GB (CUDA native) Torch/xformers from Forge setup Windows 11 Questions: Exact path/name Forge expects for OpenCLIP ViT-G/14 when using FLUX? Any specific clip_g.safetensors build required (or fallback clip_l.safetensors)? Any UI flags/args needed to force FLUX to pick up clip_g? Thanks a lot! Happy to share full logs or a short screen recording.

[triasbrata]

it because some flux model dont include clip and VAE. to use it you need to use the download the clip and VAE separately. here example https://civitai.com/models/1799857?modelVersionId=2287992

hope this help mate

[Haoming02]

Flux uses T5XXL and Clip-L, not Clip-G