End of training
Browse files- README.md +2 -2
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- checkpoint-1000/unet/config.json +62 -0
- checkpoint-1000/unet/diffusion_pytorch_model.bin +3 -0
- checkpoint-500/optimizer.bin +1 -1
- checkpoint-500/random_states_0.pkl +2 -2
- checkpoint-500/unet/diffusion_pytorch_model.bin +1 -1
- logs/dreambooth/1687348202.0191846/events.out.tfevents.1687348202.cscg-Precision-7920-Tower.1822044.1 +3 -0
- logs/dreambooth/1687348202.0229485/hparams.yml +58 -0
- logs/dreambooth/1687762049.8786204/events.out.tfevents.1687762049.cscg-Precision-7920-Tower.2936625.1 +3 -0
- logs/dreambooth/1687762049.8830276/hparams.yml +58 -0
- logs/dreambooth/events.out.tfevents.1687348201.cscg-Precision-7920-Tower.1822044.0 +3 -0
- logs/dreambooth/events.out.tfevents.1687762049.cscg-Precision-7920-Tower.2936625.0 +3 -0
- unet/diffusion_pytorch_model.bin +1 -1
README.md
CHANGED
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---
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license: creativeml-openrail-m
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base_model: CompVis/stable-diffusion-v1-4
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-
instance_prompt: a photo of
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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@@ -14,7 +14,7 @@ inference: true
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# DreamBooth - OriginF/output
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-
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a photo of
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You can find some example images in the following.
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---
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license: creativeml-openrail-m
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base_model: CompVis/stable-diffusion-v1-4
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+
instance_prompt: a photo of kks lego
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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# DreamBooth - OriginF/output
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+
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a photo of kks lego using [DreamBooth](https://dreambooth.github.io/).
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You can find some example images in the following.
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checkpoint-1000/optimizer.bin
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checkpoint-1000/unet/config.json
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{
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"up_block_types": [
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checkpoint-1000/unet/diffusion_pytorch_model.bin
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checkpoint-500/optimizer.bin
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checkpoint-500/random_states_0.pkl
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checkpoint-500/unet/diffusion_pytorch_model.bin
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logs/dreambooth/1687348202.0229485/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: 500
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checkpoints_total_limit: null
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class_data_dir: ./outputclass
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class_labels_conditioning: null
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class_prompt: a photo of dog
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dataloader_num_workers: 0
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enable_xformers_memory_efficient_attention: false
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gradient_accumulation_steps: 2
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gradient_checkpointing: true
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instance_prompt: a photo of sks dog
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learning_rate: 5.0e-06
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lr_num_cycles: 1
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lr_scheduler: constant
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max_train_steps: 800
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mixed_precision: null
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offset_noise: false
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output_dir: ./output
|
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pre_compute_text_embeddings: false
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pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
|
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prior_generation_precision: null
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checkpointing_steps: 500
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class_data_dir: ./outputclass
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class_prompt: a photo of lego
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