ClaireOzzz
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saving checkpoint-100
Browse files- README.md +62 -0
- checkpoint-100/optimizer.bin +3 -0
- checkpoint-100/pytorch_lora_weights.safetensors +3 -0
- checkpoint-100/random_states_0.pkl +3 -0
- checkpoint-100/scaler.pt +3 -0
- checkpoint-100/scheduler.bin +3 -0
- logs/dreambooth-lora-sd-xl/1701701521.8951588/events.out.tfevents.1701701521.90593e455941.13473.1 +3 -0
- logs/dreambooth-lora-sd-xl/1701701521.89724/hparams.yml +54 -0
- logs/dreambooth-lora-sd-xl/events.out.tfevents.1701701521.90593e455941.13473.0 +3 -0
README.md
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---
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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instance_prompt: cmic
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tags:
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- stable-diffusion-xl
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- stable-diffusion-xl-diffusers
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- text-to-image
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- diffusers
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- lora
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inference: false
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datasets:
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- ClaireOzzz/comicData
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---
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# LoRA DreamBooth - ClaireOzzz/Comic_Style
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## MODEL IS CURRENTLY TRAINING ...
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Last checkpoint saved: checkpoint-100
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These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
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The weights were trained on the concept prompt:
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```
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cmic
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```
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Use this keyword to trigger your custom model in your prompts.
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LoRA for the text encoder was enabled: False.
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Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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## Usage
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Make sure to upgrade diffusers to >= 0.19.0:
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```
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pip install diffusers --upgrade
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```
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In addition make sure to install transformers, safetensors, accelerate as well as the invisible watermark:
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```
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pip install invisible_watermark transformers accelerate safetensors
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```
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To just use the base model, you can run:
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```python
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import torch
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from diffusers import DiffusionPipeline, AutoencoderKL
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device = "cuda" if torch.cuda.is_available() else "cpu"
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vae = AutoencoderKL.from_pretrained('madebyollin/sdxl-vae-fp16-fix', torch_dtype=torch.float16)
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pipe = DiffusionPipeline.from_pretrained(
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"stabilityai/stable-diffusion-xl-base-1.0",
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vae=vae, torch_dtype=torch.float16, variant="fp16",
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use_safetensors=True
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)
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pipe.to(device)
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# This is where you load your trained weights
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specific_safetensors = "pytorch_lora_weights.safetensors"
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lora_scale = 0.9
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pipe.load_lora_weights(
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'ClaireOzzz/Comic_Style',
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weight_name = specific_safetensors,
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# use_auth_token = True
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)
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prompt = "A majestic cmic jumping from a big stone at night"
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image = pipe(
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prompt=prompt,
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num_inference_steps=50,
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cross_attention_kwargs={"scale": lora_scale}
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).images[0]
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```
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checkpoint-100/optimizer.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:9c74b05aafc805b577a196aad9c098d076fd7dd744c5490421f513996cb18594
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size 14989511
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checkpoint-100/pytorch_lora_weights.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:4f5056ce24088c2386ceea24020fd55cc885ee0c69f6e4db1de41039b43622f5
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size 23401064
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checkpoint-100/random_states_0.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:6cd07f5a27766bb2d669021a79d2788a1864220d271ee5c1445f96a457fa88d1
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size 14599
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checkpoint-100/scaler.pt
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version https://git-lfs.github.com/spec/v1
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size 557
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checkpoint-100/scheduler.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:906bdd391189fd16d3160fd1e198eb53687dae580f930cf3f64365609fd5f606
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size 563
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logs/dreambooth-lora-sd-xl/1701701521.8951588/events.out.tfevents.1701701521.90593e455941.13473.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:f2ce2960e11ba2b5cff523eed6acc463bb6d8e74325f1e5e1d9492d64012d84e
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size 2818
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logs/dreambooth-lora-sd-xl/1701701521.89724/hparams.yml
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adam_beta1: 0.9
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adam_beta2: 0.999
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adam_epsilon: 1.0e-08
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adam_weight_decay: 0.01
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allow_tf32: false
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center_crop: false
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checkpointing_steps: 100
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checkpoints_total_limit: null
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class_data_dir: null
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class_prompt: null
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crops_coords_top_left_h: 0
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crops_coords_top_left_w: 0
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dataloader_num_workers: 0
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dataset_id: ClaireOzzz/comicData
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enable_xformers_memory_efficient_attention: true
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gradient_accumulation_steps: 2
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gradient_checkpointing: true
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hub_model_id: null
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hub_token: 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
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instance_data_dir: comicData
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instance_prompt: cmic
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learning_rate: 0.0001
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local_rank: -1
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logging_dir: logs
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lr_num_cycles: 1
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lr_power: 1.0
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lr_scheduler: constant
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lr_warmup_steps: 0
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max_grad_norm: 1.0
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max_train_steps: 200
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mixed_precision: fp16
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num_class_images: 100
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num_train_epochs: 10
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num_validation_images: 4
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output_dir: Comic_Style
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pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
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pretrained_vae_model_name_or_path: madebyollin/sdxl-vae-fp16-fix
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prior_generation_precision: null
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prior_loss_weight: 1.0
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push_to_hub: true
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rank: 4
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report_to: tensorboard
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resolution: 1024
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resume_from_checkpoint: null
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revision: null
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sample_batch_size: 4
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scale_lr: false
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seed: 0
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train_batch_size: 2
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train_text_encoder: false
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use_8bit_adam: true
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validation_epochs: 50
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validation_prompt: null
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with_prior_preservation: false
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logs/dreambooth-lora-sd-xl/events.out.tfevents.1701701521.90593e455941.13473.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:b4720ea9bd56dc13d356cbd0ffc5ae50552f62bff831a489656efce98b97c341
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size 15992
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