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End of training

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  1. README.md +81 -0
  2. checkpoint-1000/optimizer.bin +3 -0
  3. checkpoint-1000/pytorch_lora_weights.safetensors +3 -0
  4. checkpoint-1000/random_states_0.pkl +3 -0
  5. checkpoint-1000/scheduler.bin +3 -0
  6. checkpoint-1500/optimizer.bin +3 -0
  7. checkpoint-1500/pytorch_lora_weights.safetensors +3 -0
  8. checkpoint-1500/random_states_0.pkl +3 -0
  9. checkpoint-1500/scheduler.bin +3 -0
  10. checkpoint-2000/optimizer.bin +3 -0
  11. checkpoint-2000/pytorch_lora_weights.safetensors +3 -0
  12. checkpoint-2000/random_states_0.pkl +3 -0
  13. checkpoint-2000/scheduler.bin +3 -0
  14. checkpoint-2500/optimizer.bin +3 -0
  15. checkpoint-2500/pytorch_lora_weights.safetensors +3 -0
  16. checkpoint-2500/random_states_0.pkl +3 -0
  17. checkpoint-2500/scheduler.bin +3 -0
  18. checkpoint-3000/optimizer.bin +3 -0
  19. checkpoint-3000/pytorch_lora_weights.safetensors +3 -0
  20. checkpoint-3000/random_states_0.pkl +3 -0
  21. checkpoint-3000/scheduler.bin +3 -0
  22. checkpoint-3500/optimizer.bin +3 -0
  23. checkpoint-3500/pytorch_lora_weights.safetensors +3 -0
  24. checkpoint-3500/random_states_0.pkl +3 -0
  25. checkpoint-3500/scheduler.bin +3 -0
  26. checkpoint-4000/optimizer.bin +3 -0
  27. checkpoint-4000/pytorch_lora_weights.safetensors +3 -0
  28. checkpoint-4000/random_states_0.pkl +3 -0
  29. checkpoint-4000/scheduler.bin +3 -0
  30. checkpoint-4500/optimizer.bin +3 -0
  31. checkpoint-4500/pytorch_lora_weights.safetensors +3 -0
  32. checkpoint-4500/random_states_0.pkl +3 -0
  33. checkpoint-4500/scheduler.bin +3 -0
  34. checkpoint-500/optimizer.bin +3 -0
  35. checkpoint-500/pytorch_lora_weights.safetensors +3 -0
  36. checkpoint-500/random_states_0.pkl +3 -0
  37. checkpoint-500/scheduler.bin +3 -0
  38. checkpoint-5000/optimizer.bin +3 -0
  39. checkpoint-5000/pytorch_lora_weights.safetensors +3 -0
  40. checkpoint-5000/random_states_0.pkl +3 -0
  41. checkpoint-5000/scheduler.bin +3 -0
  42. logs/dreambooth-sd3-lora/1737459185.5527318/events.out.tfevents.1737459185.aigpu08012.3532481.1 +3 -0
  43. logs/dreambooth-sd3-lora/1737459185.566094/hparams.yml +78 -0
  44. logs/dreambooth-sd3-lora/1737470636.335012/events.out.tfevents.1737470636.aigpu08012.3916568.1 +3 -0
  45. logs/dreambooth-sd3-lora/1737470636.348469/hparams.yml +78 -0
  46. logs/dreambooth-sd3-lora/events.out.tfevents.1737459185.aigpu08012.3532481.0 +3 -0
  47. logs/dreambooth-sd3-lora/events.out.tfevents.1737470636.aigpu08012.3916568.0 +3 -0
  48. pytorch_lora_weights.safetensors +3 -0
README.md ADDED
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+ ---
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+ base_model: stabilityai/stable-diffusion-3.5-large
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+ library_name: diffusers
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+ license: other
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+ instance_prompt: photo of a korean hcwf baby wearing a plain cream beanie, wrapped
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+ in a plain cream swaddle, eyes closed, soft lighting, shallow depth of field, 50mm
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+ prime lens, pastel background
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+ widget: []
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+ tags:
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+ - text-to-image
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+ - diffusers-training
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+ - diffusers
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+ - lora
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+ - template:sd-lora
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+ - sd3.5-large
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+ - sd3.5
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+ - sd3.5-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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+ # SD3.5-Large DreamBooth LoRA - cwhuh/babyface_v6
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+
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+ <Gallery />
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+
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+ ## Model description
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+
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+ These are cwhuh/babyface_v6 DreamBooth LoRA weights for stabilityai/stable-diffusion-3.5-large.
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+
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+ The weights were trained using [DreamBooth](https://dreambooth.github.io/) with the [SD3 diffusers trainer](https://github.com/huggingface/diffusers/blob/main/examples/dreambooth/README_sd3.md).
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+
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+ Was LoRA for the text encoder enabled? False.
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+
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+ ## Trigger words
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+
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+ You should use `photo of a korean hcwf baby wearing a plain cream beanie, wrapped in a plain cream swaddle, eyes closed, soft lighting, shallow depth of field, 50mm prime lens, pastel background` to trigger the image generation.
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+
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+ ## Download model
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+
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+ [Download the *.safetensors LoRA](cwhuh/babyface_v6/tree/main) in the Files & versions tab.
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+
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+ ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
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+
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+ ```py
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+ from diffusers import AutoPipelineForText2Image
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+ import torch
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+ pipeline = AutoPipelineForText2Image.from_pretrained(stabilityai/stable-diffusion-3.5-large, torch_dtype=torch.float16).to('cuda')
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+ pipeline.load_lora_weights('cwhuh/babyface_v6', weight_name='pytorch_lora_weights.safetensors')
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+ image = pipeline('photo of a korean hcwf baby wearing a plain cream beanie, wrapped in a plain cream swaddle, eyes closed, soft lighting, shallow depth of field, 50mm prime lens, pastel background').images[0]
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+ ```
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+
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+ ### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
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+
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+ - **LoRA**: download **[`diffusers_lora_weights.safetensors` here 💾](/cwhuh/babyface_v6/blob/main/diffusers_lora_weights.safetensors)**.
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+ - Rename it and place it on your `models/Lora` folder.
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+ - On AUTOMATIC1111, load the LoRA by adding `<lora:your_new_name:1>` to your prompt. On ComfyUI just [load it as a regular LoRA](https://comfyanonymous.github.io/ComfyUI_examples/lora/).
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+
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+ For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
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+
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+ ## License
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+
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+ Please adhere to the licensing terms as described [here](https://huggingface.co/stabilityai/stable-diffusion-3.5-large/blob/main/LICENSE.md).
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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: 0.0001
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+ adam_weight_decay_text_encoder: 0.001
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+ allow_tf32: false
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+ cache_dir: /checkpoints/huggingface/
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+ cache_latents: false
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+ caption_column: null
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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: /data/humanscape-babyface/class_v6
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+ class_prompt: photo of a korean baby wearing a plain cream beanie, wrapped in a plain
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+ cream swaddle, eyes closed, soft lighting, shallow depth of field, 50mm prime lens,
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+ pastel background
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+ dataloader_num_workers: 0
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+ dataset_config_name: null
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+ dataset_name: null
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+ gradient_accumulation_steps: 1
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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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+ image_column: image
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+ instance_data_dir: /data/humanscape-babyface/instance
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+ instance_prompt: photo of a korean hcwf baby wearing a plain cream beanie, wrapped
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+ in a plain cream swaddle, eyes closed, soft lighting, shallow depth of field, 50mm
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+ prime lens, pastel background
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+ learning_rate: 1.0e-06
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+ local_rank: 0
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+ logging_dir: logs
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+ logit_mean: 0.0
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+ logit_std: 1.0
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+ lora_blocks: null
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+ lr_num_cycles: 1
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+ lr_power: 1.0
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+ lr_scheduler: cosine_with_restarts
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+ lr_warmup_steps: 0
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+ max_grad_norm: 1.0
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+ max_sequence_length: 77
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+ max_train_steps: 5000
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+ mixed_precision: bf16
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+ mode_scale: 1.29
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