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controlnet-fill-circle

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  1. .gitattributes +1 -0
  2. README.md +22 -0
  3. checkpoint-1000/controlnet/config.json +50 -0
  4. checkpoint-1000/controlnet/diffusion_pytorch_model.bin +3 -0
  5. checkpoint-1000/optimizer.bin +3 -0
  6. checkpoint-1000/random_states_0.pkl +3 -0
  7. checkpoint-1000/scheduler.bin +3 -0
  8. checkpoint-1500/controlnet/config.json +50 -0
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  13. checkpoint-2000/controlnet/config.json +50 -0
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  18. checkpoint-2500/controlnet/config.json +50 -0
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  23. checkpoint-3000/controlnet/config.json +50 -0
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  28. checkpoint-3500/controlnet/config.json +50 -0
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  33. checkpoint-4000/controlnet/config.json +50 -0
  34. checkpoint-4000/controlnet/diffusion_pytorch_model.bin +3 -0
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  36. checkpoint-4000/random_states_0.pkl +3 -0
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  38. checkpoint-4500/controlnet/config.json +50 -0
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  43. checkpoint-500/controlnet/config.json +50 -0
  44. checkpoint-500/controlnet/diffusion_pytorch_model.bin +3 -0
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  48. checkpoint-5000/controlnet/config.json +50 -0
  49. checkpoint-5000/controlnet/diffusion_pytorch_model.bin +3 -0
  50. checkpoint-5000/optimizer.bin +3 -0
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README.md ADDED
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+
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+ ---
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+ license: creativeml-openrail-m
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+ base_model: runwayml/stable-diffusion-v1-5
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+ tags:
6
+ - 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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+ inference: true
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+ ---
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+
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+ # controlnet-Jenniferkmc/controlnet-fill-circle
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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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+ prompt: red circle with blue background
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+ ![images_0)](./images_0.png)
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+ prompt: cyan circle with brown floral background
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+ ![images_1)](./images_1.png)
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+
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