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controlnet_inpainting_shuffle_processedpromp_changemask_condition_random_mask

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Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
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  1. .gitattributes +8 -0
  2. README.md +57 -0
  3. checkpoint-1000/controlnet/config.json +51 -0
  4. checkpoint-1000/controlnet/diffusion_pytorch_model.safetensors +3 -0
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README.md ADDED
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+ ---
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+ base_model: runwayml/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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+ tags:
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+ - stable-diffusion
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+ - stable-diffusion-diffusers
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+ - text-to-image
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+ - diffusers
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+ - controlnet
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+ - diffusers-training
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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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+ # controlnet-chaeyeonl33/controlnet_inpainting_shuffle_processedpromp_changemask_condition_random_mask
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+
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+ These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning.
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+ You can find some example images below.
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+
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+ prompt: s A1,6 15,bp 3000,4 15,1 20,sp 3000,ge 934,5 15,3 15,ga 156,7 15,2 20,time 200
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+ ![images_0)](./images_0.png)
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+ prompt: 6 11,s A1,3 11,4 11,ge 900,1 16,7 11,5 11,sp 3000,time 200,2 16,bp 2800,ga 190
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+ ![images_1)](./images_1.png)
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+ prompt: 5 15,4 15,time 200,bp 3000,s A1,sp 3000,ga 156,7 15,ge 934,1 20,6 15,2 20,3 15
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+ ![images_2)](./images_2.png)
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+ prompt: bp 3000,ga 190,time 200,3 15,2 20,5 15,7 15,1 20,ge 900,4 15,6 15,sp 3000,s A1
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+ ![images_3)](./images_3.png)
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+ prompt: 2 20,s A1,3 15,7 15,sp 3000,4 15,1 20,ge 900,5 15,bp 3000,time 200,6 15,ga 190
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+ ![images_4)](./images_4.png)
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+ prompt: 5 15,4 15,sp 3000,s A1,3 15,7 15,ga 190,2 20,ge 900,6 15,1 20,time 200,bp 3000
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+ ![images_5)](./images_5.png)
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+ prompt: sp 3000,time 200,5 11,4 11,ge 867.5,7 11,3 11,bp 3000,2 16,s A1,ga 222.5,6 11,1 16
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+ ![images_6)](./images_6.png)
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+ prompt: sp 3000,time 200,bp 3000,1 20,2 20,7 15,5 15,s A1,ga 156,3 15,ge 934,4 15,6 15
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+ ![images_7)](./images_7.png)
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+
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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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