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pv_tmv_v1

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Diffusers
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StableDiffusionPipeline
dreambooth
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stable-diffusion-diffusers
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  1. README.md +43 -0
  2. checkpoint-1000/optimizer.bin +3 -0
  3. checkpoint-1000/random_states_0.pkl +3 -0
  4. checkpoint-1000/scheduler.bin +3 -0
  5. checkpoint-1000/text_encoder/config.json +25 -0
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  7. checkpoint-1000/unet/config.json +68 -0
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  37. feature_extractor/preprocessor_config.json +27 -0
  38. logs/dreambooth/1743622555.440994/events.out.tfevents.1743622555.bce28369acb1.1495.1 +3 -0
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  40. logs/dreambooth/1743625374.1230595/events.out.tfevents.1743625374.bce28369acb1.2150.1 +3 -0
  41. logs/dreambooth/1743625374.1252952/hparams.yml +60 -0
  42. logs/dreambooth/1743625584.834684/events.out.tfevents.1743625584.bce28369acb1.2623.1 +3 -0
  43. logs/dreambooth/1743625584.836871/hparams.yml +60 -0
  44. logs/dreambooth/1743626400.227645/events.out.tfevents.1743626400.bce28369acb1.3099.1 +3 -0
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  47. logs/dreambooth/events.out.tfevents.1743625372.bce28369acb1.2150.0 +3 -0
  48. logs/dreambooth/events.out.tfevents.1743625583.bce28369acb1.2623.0 +3 -0
  49. logs/dreambooth/events.out.tfevents.1743626398.bce28369acb1.3099.0 +3 -0
  50. model_index.json +38 -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 sks leaf
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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_tmv_v1
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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 sks leaf 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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