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End of training

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  1. README.md +64 -0
  2. checkpoint-500/optimizer.bin +3 -0
  3. checkpoint-500/random_states_0.pkl +3 -0
  4. checkpoint-500/scaler.pt +3 -0
  5. checkpoint-500/scheduler.bin +3 -0
  6. checkpoint-500/transformer/config.json +16 -0
  7. checkpoint-500/transformer/diffusion_pytorch_model.safetensors +3 -0
  8. logs/dreambooth-sd3/1721496753.469692/events.out.tfevents.1721496753.9bf40146e191.2644.1 +3 -0
  9. logs/dreambooth-sd3/1721496753.4716198/hparams.yml +68 -0
  10. logs/dreambooth-sd3/1721496947.3238482/events.out.tfevents.1721496947.9bf40146e191.3747.1 +3 -0
  11. logs/dreambooth-sd3/1721496947.3257902/hparams.yml +68 -0
  12. logs/dreambooth-sd3/1721497142.4643464/events.out.tfevents.1721497142.9bf40146e191.4599.1 +3 -0
  13. logs/dreambooth-sd3/1721497142.4662623/hparams.yml +68 -0
  14. logs/dreambooth-sd3/1721497443.5523226/events.out.tfevents.1721497443.9bf40146e191.5897.1 +3 -0
  15. logs/dreambooth-sd3/1721497443.5542629/hparams.yml +68 -0
  16. logs/dreambooth-sd3/events.out.tfevents.1721496753.9bf40146e191.2644.0 +3 -0
  17. logs/dreambooth-sd3/events.out.tfevents.1721496947.9bf40146e191.3747.0 +3 -0
  18. logs/dreambooth-sd3/events.out.tfevents.1721497142.9bf40146e191.4599.0 +3 -0
  19. logs/dreambooth-sd3/events.out.tfevents.1721497443.9bf40146e191.5897.0 +3 -0
  20. model_index.json +41 -0
  21. scheduler/scheduler_config.json +6 -0
  22. text_encoder/config.json +25 -0
  23. text_encoder/model.safetensors +3 -0
  24. text_encoder_2/config.json +25 -0
  25. text_encoder_2/model.safetensors +3 -0
  26. text_encoder_3/config.json +32 -0
  27. text_encoder_3/model-00001-of-00004.safetensors +3 -0
  28. text_encoder_3/model-00002-of-00004.safetensors +3 -0
  29. text_encoder_3/model-00003-of-00004.safetensors +3 -0
  30. text_encoder_3/model-00004-of-00004.safetensors +3 -0
  31. text_encoder_3/model.safetensors.index.json +226 -0
  32. tokenizer/merges.txt +0 -0
  33. tokenizer/special_tokens_map.json +30 -0
  34. tokenizer/tokenizer_config.json +30 -0
  35. tokenizer/vocab.json +0 -0
  36. tokenizer_2/merges.txt +0 -0
  37. tokenizer_2/special_tokens_map.json +30 -0
  38. tokenizer_2/tokenizer_config.json +38 -0
  39. tokenizer_2/vocab.json +0 -0
  40. tokenizer_3/special_tokens_map.json +125 -0
  41. tokenizer_3/spiece.model +3 -0
  42. tokenizer_3/tokenizer.json +0 -0
  43. tokenizer_3/tokenizer_config.json +940 -0
  44. transformer/config.json +16 -0
  45. transformer/diffusion_pytorch_model.safetensors +3 -0
  46. vae/config.json +37 -0
  47. vae/diffusion_pytorch_model.safetensors +3 -0
README.md ADDED
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+ ---
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+ base_model: stabilityai/stable-diffusion-3-medium-diffusers
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+ library_name: diffusers
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+ license: openrail++
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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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+ - sd3
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+ - sd3-diffusers
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+ - template:sd-lora
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+ instance_prompt: a photo of sks dog
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+ widget: []
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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 DreamBooth - momos-raddadi/trained-sd3
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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 momos-raddadi/trained-sd3 DreamBooth weights for stabilityai/stable-diffusion-3-medium-diffusers.
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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 the text encoder fine-tuned? False.
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+
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+ ## Trigger words
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+
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+ You should use `a photo of sks dog` to trigger the image generation.
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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('momos-raddadi/trained-sd3', torch_dtype=torch.float16).to('cuda')
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+ image = pipeline('a photo of sks dog').images[0]
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+ ```
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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-medium/blob/main/LICENSE)`.
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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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