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SidXXD
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new_concept-curgy-4-embedding

Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
custom-diffusion
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End of training

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  1. <v1*>.bin +3 -0
  2. README.md +22 -0
  3. checkpoint-250/custom_checkpoint_0.pkl +3 -0
  4. checkpoint-250/model.safetensors +3 -0
  5. checkpoint-250/model_1.safetensors +3 -0
  6. checkpoint-250/optimizer.bin +3 -0
  7. checkpoint-250/random_states_0.pkl +3 -0
  8. checkpoint-250/scheduler.bin +3 -0
  9. concepts_list.json +1 -0
  10. logs/custom-diffusion/1728640743.5735888/events.out.tfevents.1728640743.cudahpc06.228182.1 +3 -0
  11. logs/custom-diffusion/1728640743.57517/hparams.yml +60 -0
  12. logs/custom-diffusion/events.out.tfevents.1728640743.cudahpc06.228182.0 +3 -0
  13. pytorch_custom_diffusion_weights.bin +3 -0
  14. text_embedding-for-tsne/0-<|startoftext|>.pth +3 -0
  15. text_embedding-for-tsne/1-photo.pth +3 -0
  16. text_embedding-for-tsne/10-a.pth +3 -0
  17. text_embedding-for-tsne/11-<v1*>.pth +3 -0
  18. text_embedding-for-tsne/12-dog.pth +3 -0
  19. text_embedding-for-tsne/13-<|endoftext|>.pth +3 -0
  20. text_embedding-for-tsne/14-<|startoftext|>.pth +3 -0
  21. text_embedding-for-tsne/15-photo.pth +3 -0
  22. text_embedding-for-tsne/16-of.pth +3 -0
  23. text_embedding-for-tsne/17-a.pth +3 -0
  24. text_embedding-for-tsne/18-<v1*>.pth +3 -0
  25. text_embedding-for-tsne/19-dog.pth +3 -0
  26. text_embedding-for-tsne/2-of.pth +3 -0
  27. text_embedding-for-tsne/20-<|endoftext|>.pth +3 -0
  28. text_embedding-for-tsne/21-<|startoftext|>.pth +3 -0
  29. text_embedding-for-tsne/22-photo.pth +3 -0
  30. text_embedding-for-tsne/23-of.pth +3 -0
  31. text_embedding-for-tsne/24-a.pth +3 -0
  32. text_embedding-for-tsne/25-<v1*>.pth +3 -0
  33. text_embedding-for-tsne/26-dog.pth +3 -0
  34. text_embedding-for-tsne/27-<|endoftext|>.pth +3 -0
  35. text_embedding-for-tsne/28-<|startoftext|>.pth +3 -0
  36. text_embedding-for-tsne/29-photo.pth +3 -0
  37. text_embedding-for-tsne/3-a.pth +3 -0
  38. text_embedding-for-tsne/30-of.pth +3 -0
  39. text_embedding-for-tsne/31-a.pth +3 -0
  40. text_embedding-for-tsne/32-<v1*>.pth +3 -0
  41. text_embedding-for-tsne/33-dog.pth +3 -0
  42. text_embedding-for-tsne/34-<|endoftext|>.pth +3 -0
  43. text_embedding-for-tsne/35-<|startoftext|>.pth +3 -0
  44. text_embedding-for-tsne/36-photo.pth +3 -0
  45. text_embedding-for-tsne/37-of.pth +3 -0
  46. text_embedding-for-tsne/38-a.pth +3 -0
  47. text_embedding-for-tsne/39-<v1*>.pth +3 -0
  48. text_embedding-for-tsne/4-<v1*>.pth +3 -0
  49. text_embedding-for-tsne/40-dog.pth +3 -0
  50. text_embedding-for-tsne/41-<|endoftext|>.pth +3 -0
<v1*>.bin ADDED
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README.md ADDED
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+
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+ ---
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+ license: creativeml-openrail-m
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+ base_model: stabilityai/stable-diffusion-2-1-base
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+ instance_prompt: photo of a <v1*> dog
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+ tags:
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+ - stable-diffusion
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+ - stable-diffusion-diffusers
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+ - text-to-image
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+ - diffusers
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+ - custom-diffusion
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+ inference: true
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+ ---
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+
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+ # Custom Diffusion - SidXXD/new_concept-curgy-4-embedding
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+
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+ These are Custom Diffusion adaption weights for stabilityai/stable-diffusion-2-1-base. The weights were trained on photo of a <v1*> dog using [Custom Diffusion](https://www.cs.cmu.edu/~custom-diffusion). You can find some example images in the following.
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+
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+
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+
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+ For more details on the training, please follow [this link](https://github.com/huggingface/diffusers/blob/main/examples/custom_diffusion).
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+ [{"instance_prompt": "photo of a <v1*> dog", "class_prompt": null, "instance_data_dir": "/home/xide/miniconda3/code/data/dreambooth/dataset/dog", "class_data_dir": null}]
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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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+ attn_maps_path_name: attn_maps_color
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+ center_crop: false
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+ checkpointing_steps: 250
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+ checkpoints_total_limit: null
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+ class_prompt: null
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+ dataloader_num_workers: 2
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+ enable_xformers_memory_efficient_attention: false
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+ freeze_model: crossattn_kv
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+ gradient_accumulation_steps: 1
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+ gradient_checkpointing: false
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+ hflip: true
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+ initializer_token: ktn
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+ instance_data_dir: /home/xide/miniconda3/code/data/dreambooth/dataset/dog
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+ instance_prompt: photo of a <v1*> dog
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+ learning_rate: 1.0e-05
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+ local_rank: -1
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+ logging_dir: logs
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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: 250
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+ num_class_images: 200
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+ num_train_epochs: 1
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+ num_validation_images: 2
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+ output_dir: /home/xide/miniconda3/code/diffusers/examples/custom_diffusion/model/for-Sandesh/new_concept-curgy-4-embedding
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+ photoguard: false
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+ photoguard_mode: encoder
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+ pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1-base
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+ prior_generation_precision: null
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+ resolution: 512
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+ use_8bit_adam: false
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+ validation_steps: 50
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