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lora-trained-xl-colab

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Files changed (11) hide show
  1. README.md +2 -2
  2. logs/dreambooth-lora-sd-xl/1691848768.250566/events.out.tfevents.1691848768.b001e0055aa1.3135.1 +3 -0
  3. logs/dreambooth-lora-sd-xl/1691848768.253358/hparams.yml +53 -0
  4. logs/dreambooth-lora-sd-xl/1691849599.8182085/events.out.tfevents.1691849599.b001e0055aa1.7172.1 +3 -0
  5. logs/dreambooth-lora-sd-xl/1691849599.8208206/hparams.yml +53 -0
  6. logs/dreambooth-lora-sd-xl/1691849989.2549481/events.out.tfevents.1691849989.b001e0055aa1.9041.1 +3 -0
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  8. logs/dreambooth-lora-sd-xl/events.out.tfevents.1691848768.b001e0055aa1.3135.0 +3 -0
  9. logs/dreambooth-lora-sd-xl/events.out.tfevents.1691849599.b001e0055aa1.7172.0 +3 -0
  10. logs/dreambooth-lora-sd-xl/events.out.tfevents.1691849989.b001e0055aa1.9041.0 +3 -0
  11. pytorch_lora_weights.bin +1 -1
README.md CHANGED
@@ -2,7 +2,7 @@
2
  ---
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  license: openrail++
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  base_model: stabilityai/stable-diffusion-xl-base-1.0
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- instance_prompt: a photo of sks dog
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  tags:
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  - stable-diffusion-xl
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  - stable-diffusion-xl-diffusers
@@ -14,7 +14,7 @@ inference: true
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  # LoRA DreamBooth - rdpb/lora-trained-xl-colab
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- These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were trained on a photo of sks dog using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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19
 
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2
  ---
3
  license: openrail++
4
  base_model: stabilityai/stable-diffusion-xl-base-1.0
5
+ instance_prompt: a photo of rdpb
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  tags:
7
  - stable-diffusion-xl
8
  - stable-diffusion-xl-diffusers
 
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  # LoRA DreamBooth - rdpb/lora-trained-xl-colab
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+ These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were trained on a photo of rdpb using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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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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+ 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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+ 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: null
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+ instance_data_dir: dog
20
+ instance_prompt: a photo of rdpb
21
+ learning_rate: 0.0001
22
+ local_rank: -1
23
+ logging_dir: logs
24
+ lr_num_cycles: 1
25
+ lr_power: 1.0
26
+ 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: 500
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+ mixed_precision: fp16
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+ num_class_images: 100
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+ num_train_epochs: 167
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+ num_validation_images: 4
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+ output_dir: lora-trained-xl-colab
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+ pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
36
+ 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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+ use_8bit_adam: true
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+ validation_epochs: 50
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+ adam_beta1: 0.9
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+ adam_epsilon: 1.0e-08
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+ adam_weight_decay: 0.01
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+ instance_data_dir: dog
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+ instance_prompt: a photo of rdpb
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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: 500
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+ mixed_precision: fp16
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+ num_class_images: 100
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+ num_train_epochs: 167
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+ num_validation_images: 4
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+ output_dir: lora-trained-xl-colab
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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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+ adam_beta1: 0.9
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+ adam_epsilon: 1.0e-08
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+ max_grad_norm: 1.0
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+ mixed_precision: fp16
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+ num_class_images: 100
32
+ num_train_epochs: 167
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+ num_validation_images: 4
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+ output_dir: lora-trained-xl-colab
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+ pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
36
+ pretrained_vae_model_name_or_path: madebyollin/sdxl-vae-fp16-fix
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