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  1. .gitattributes +4 -0
  2. README.md +47 -0
  3. checkpoint-1000/optimizer.bin +3 -0
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.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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  *.zst 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 a ymv 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/sb_db_v3_no_promptTuning
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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 ymv 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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+ ![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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+ DreamBooth 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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+ 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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+ report_to: all
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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: 1337
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+ set_grads_to_none: false
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+ skip_save_text_encoder: false
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+ snr_gamma: 5.0
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+ text_encoder_use_attention_mask: false
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+ tokenizer_max_length: null
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+ tokenizer_name: null
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+ train_batch_size: 4
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+ train_text_encoder: false
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+ use_8bit_adam: false
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+ validation_prompt: A close-up photo of a soybean leaf suffering from ymv disease,
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+ being held in a hand fingers in an agricultural field. The leaf has distinct yellow
61
+ mosaic patterns, with irregular patches and green veins. Other soybean plants with
62
+ similar symptoms are visible in the blurred background
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+ validation_scheduler: DPMSolverMultistepScheduler
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+ validation_steps: 100
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+ variant: null
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+ with_prior_preservation: false
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