dreambooth
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Dreambooth + 2.1 = NaN Loss
When you train with SD2.1 (not SD2.1 base), the loss instantly NaN
Steps: 0%| | 0/3000 [00:00<?, ?it/s]
Steps: 0%| | 0/3000 [00:07<?, ?it/s, loss=nan, lr=1e-6]
The branch is https://github.com/replicate/dreambooth/tree/sd21
With revision 76cd0b242e1248353a8604bcefd1d331d73743518604812ff7d3ca4db84c8da3
0%| | 0/100 [00:00<?, ?it/s]
Steps: 0%| | 0/100 [00:00<?, ?it/s]
Steps: 0%| | 0/100 [00:09<?, ?it/s, loss=nan, lr=1e-6]
Steps: 1%| | 1/100 [00:09<16:00, 9.70s/it, loss=nan, lr=1e-6]
Steps: 2%|▏ | 2/100 [00:09<06:47, 4.16s/it, loss=nan, lr=1e-6]
Steps: 3%|▎ | 3/100 [00:10<03:51, 2.39s/it, loss=nan, lr=1e-6]
https://replicate.com/p/xg5mpxkbkvf6lbf6jzwusq3tf4
{
"pretrained_model_name_or_path": "stabilityai/stable-diffusion-2-1",
"pretrained_vae_name_or_path": null,
"revision": "main",
"tokenizer_name": null,
"instance_data_dir": "cog_instance_data",
"class_data_dir": "cog_class_data",
"instance_prompt": "a photo of a <1> man",
"class_prompt": "a photo of a man",
"save_sample_prompt": null,
"save_sample_negative_prompt": null,
"n_save_sample": 0,
"save_guidance_scale": 7.5,
"save_infer_steps": 50,
"pad_tokens": false,
"with_prior_preservation": true,
"prior_loss_weight": 1.0,
"num_class_images": 10,
"seed": 1337,
"resolution": 512,
"center_crop": false,
"train_text_encoder": true,
"train_batch_size": 1,
"sample_batch_size": 4,
"num_train_epochs": 1,
"max_train_steps": 100,
"gradient_accumulation_steps": 1,
"gradient_checkpointing": false,
"learning_rate": 1e-06,
"scale_lr": false,
"lr_scheduler": "constant",
"lr_warmup_steps": 0,
"use_8bit_adam": false,
"adam_beta1": 0.9,
"adam_beta2": 0.999,
"adam_weight_decay": 0.01,
"adam_epsilon": 1e-08,
"max_grad_norm": 1.0,
"push_to_hub": false,
"hub_token": null,
"hub_model_id": null,
"save_interval": 10000,
"save_min_steps": 0,
"mixed_precision": "fp16",
"not_cache_latents": false,
"local_rank": -1,
"output_dir": "checkpoints",
"concepts_list": null,
"logging_dir": "logs",
"log_interval": 10,
"hflip": false
}
Progress by @Pwntus in #34 !