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  1. README.md +44 -0
  2. checkpoint-4000/optimizer.bin +3 -0
  3. checkpoint-4000/random_states_0.pkl +3 -0
  4. checkpoint-4000/scheduler.bin +3 -0
  5. checkpoint-4000/text_encoder/config.json +25 -0
  6. checkpoint-4000/text_encoder/model.safetensors +3 -0
  7. checkpoint-4000/unet/config.json +68 -0
  8. checkpoint-4000/unet/diffusion_pytorch_model.safetensors +3 -0
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  22. checkpoint-5000/unet/diffusion_pytorch_model.safetensors +3 -0
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  37. feature_extractor/preprocessor_config.json +27 -0
  38. logs/dreambooth/1743859201.879825/events.out.tfevents.1743859201.d41117e5b20d.3768.1 +3 -0
  39. logs/dreambooth/1743859201.882/hparams.yml +62 -0
  40. logs/dreambooth/1743991738.1179934/events.out.tfevents.1743991738.99b07b8383a9.2610.1 +3 -0
  41. logs/dreambooth/1743991738.120072/hparams.yml +62 -0
  42. logs/dreambooth/events.out.tfevents.1743859199.d41117e5b20d.3768.0 +3 -0
  43. logs/dreambooth/events.out.tfevents.1743991736.99b07b8383a9.2610.0 +3 -0
  44. model_index.json +38 -0
  45. safety_checker/config.json +31 -0
  46. safety_checker/model.safetensors +3 -0
  47. scheduler/scheduler_config.json +15 -0
  48. text_encoder/config.json +25 -0
  49. text_encoder/model.safetensors +3 -0
  50. tokenizer/merges.txt +0 -0
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 a healthy green leaf with smooth texture and no visible
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+ damage. hd, 4k
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+ tags:
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+ - text-to-image
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+ - dreambooth
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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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+ # DreamBooth - ButterChicken98/pv_h_v3
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+
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+ This is a dreambooth model derived from stable-diffusion-v1-5/stable-diffusion-v1-5. The weights were trained on A photo of a healthy green leaf with smooth texture and no visible damage. hd, 4k using [DreamBooth](https://dreambooth.github.io/).
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+ 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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+ DreamBooth for the text encoder was enabled: True.
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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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