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millan24
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mi_concepto-sd

Text-to-Image
Diffusers
TensorBoard
lora
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Model card Files
xet
 Metrics Community
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End of training

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  1. .gitattributes +4 -0
  2. README.md +47 -0
  3. checkpoint-100/optimizer.bin +3 -0
  4. checkpoint-100/pytorch_lora_weights.safetensors +3 -0
  5. checkpoint-100/random_states_0.pkl +3 -0
  6. checkpoint-100/scheduler.bin +3 -0
  7. checkpoint-1000/optimizer.bin +3 -0
  8. checkpoint-1000/pytorch_lora_weights.safetensors +3 -0
  9. checkpoint-1000/random_states_0.pkl +3 -0
  10. checkpoint-1000/scheduler.bin +3 -0
  11. checkpoint-200/optimizer.bin +3 -0
  12. checkpoint-200/pytorch_lora_weights.safetensors +3 -0
  13. checkpoint-200/random_states_0.pkl +3 -0
  14. checkpoint-200/scheduler.bin +3 -0
  15. checkpoint-300/optimizer.bin +3 -0
  16. checkpoint-300/pytorch_lora_weights.safetensors +3 -0
  17. checkpoint-300/random_states_0.pkl +3 -0
  18. checkpoint-300/scheduler.bin +3 -0
  19. checkpoint-400/optimizer.bin +3 -0
  20. checkpoint-400/pytorch_lora_weights.safetensors +3 -0
  21. checkpoint-400/random_states_0.pkl +3 -0
  22. checkpoint-400/scheduler.bin +3 -0
  23. checkpoint-500/optimizer.bin +3 -0
  24. checkpoint-500/pytorch_lora_weights.safetensors +3 -0
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  26. checkpoint-500/scheduler.bin +3 -0
  27. checkpoint-600/optimizer.bin +3 -0
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  31. checkpoint-700/optimizer.bin +3 -0
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  33. checkpoint-700/random_states_0.pkl +3 -0
  34. checkpoint-700/scheduler.bin +3 -0
  35. checkpoint-800/optimizer.bin +3 -0
  36. checkpoint-800/pytorch_lora_weights.safetensors +3 -0
  37. checkpoint-800/random_states_0.pkl +3 -0
  38. checkpoint-800/scheduler.bin +3 -0
  39. checkpoint-900/optimizer.bin +3 -0
  40. checkpoint-900/pytorch_lora_weights.safetensors +3 -0
  41. checkpoint-900/random_states_0.pkl +3 -0
  42. checkpoint-900/scheduler.bin +3 -0
  43. image_0.png +3 -0
  44. image_1.png +3 -0
  45. image_2.png +3 -0
  46. image_3.png +3 -0
  47. logs/dreambooth-lora/1777740465.4424343/events.out.tfevents.1777740465.38c96eb151bd.2505.1 +3 -0
  48. logs/dreambooth-lora/1777740465.444059/hparams.yml +58 -0
  49. logs/dreambooth-lora/events.out.tfevents.1777740465.38c96eb151bd.2505.0 +3 -0
  50. pytorch_lora_weights.safetensors +3 -0
.gitattributes CHANGED
@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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+ ---
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+ base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
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+ library_name: diffusers
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+ license: creativeml-openrail-m
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+ inference: true
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+ instance_prompt: a photo of sks person
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+ tags:
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+ - text-to-image
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+ - diffusers
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+ - lora
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+ - diffusers-training
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+ - stable-diffusion
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+ - stable-diffusion-diffusers
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the training script had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+
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+ # LoRA DreamBooth - millan24/mi_concepto-sd
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+
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+ These are LoRA adaption weights for stable-diffusion-v1-5/stable-diffusion-v1-5. The weights were trained on a photo of sks person using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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+
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+ ![img_0](./image_0.png)
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+ ![img_1](./image_1.png)
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+ ![img_2](./image_2.png)
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+ ![img_3](./image_3.png)
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+
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+
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+ LoRA for the text encoder was enabled: False.
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+
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+
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+ ## Intended uses & limitations
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+
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+ #### How to use
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+
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+ ```python
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+ # TODO: add an example code snippet for running this diffusion pipeline
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+ ```
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+
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+ #### Limitations and bias
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+
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+ [TODO: provide examples of latent issues and potential remediations]
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+
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+ ## Training details
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+
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+ [TODO: describe the data used to train the model]
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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_labels_conditioning: null
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+ class_prompt: null
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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: 1
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+ gradient_checkpointing: false
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+ hub_model_id: null
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+ hub_token: null
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+ image_interpolation_mode: lanczos
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+ instance_data_dir: mis_imagenes
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+ instance_prompt: a photo of sks person
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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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+ lora_dropout: 0.0
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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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+ mixed_precision: null
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+ num_class_images: 100
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+ num_train_epochs: 334
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+ num_validation_images: 4
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+ output_dir: mi_concepto-sd
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+ pre_compute_text_embeddings: false
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+ pretrained_model_name_or_path: stable-diffusion-v1-5/stable-diffusion-v1-5
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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: 512
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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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+ text_encoder_use_attention_mask: false
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+ tokenizer_max_length: null
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+ train_batch_size: 1
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+ train_text_encoder: false
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+ use_8bit_adam: false
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+ validation_epochs: 50
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+ validation_prompt: a photo of sks person giving a speech
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+ variant: null
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+ with_prior_preservation: false
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