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killah-t-cell
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model_out

Text-to-Image
Diffusers
stable-diffusion
stable-diffusion-diffusers
controlnet
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End of training

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Files changed (32) hide show
  1. .gitattributes +3 -0
  2. README.md +24 -0
  3. checkpoint-10000/controlnet/config.json +47 -0
  4. checkpoint-10000/controlnet/diffusion_pytorch_model.bin +3 -0
  5. checkpoint-10000/optimizer.bin +3 -0
  6. checkpoint-10000/random_states_0.pkl +3 -0
  7. checkpoint-10000/scaler.pt +3 -0
  8. checkpoint-10000/scheduler.bin +3 -0
  9. checkpoint-15000/controlnet/config.json +47 -0
  10. checkpoint-15000/controlnet/diffusion_pytorch_model.bin +3 -0
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  12. checkpoint-15000/random_states_0.pkl +3 -0
  13. checkpoint-15000/scaler.pt +3 -0
  14. checkpoint-15000/scheduler.bin +3 -0
  15. checkpoint-20000/controlnet/config.json +47 -0
  16. checkpoint-20000/controlnet/diffusion_pytorch_model.bin +3 -0
  17. checkpoint-20000/optimizer.bin +3 -0
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  21. checkpoint-5000/controlnet/config.json +47 -0
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  27. config.json +47 -0
  28. diffusion_pytorch_model.bin +3 -0
  29. image_control.png +0 -0
  30. images_0.png +3 -0
  31. images_1.png +3 -0
  32. images_2.png +3 -0
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@@ -32,3 +32,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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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: stabilityai/stable-diffusion-2-1-base
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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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+ inference: true
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+ ---
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+
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+ # controlnet-killah-t-cell/model_out
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+
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+ These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning.
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+ You can find some example images below.
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+ prompt: Crowd of men wearing hats with trees in the background
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+ ![images_0)](./images_0.png)
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+ prompt: Girl smiling, professional dslr photograph, dark background, studio lights, high quality
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+ ![images_1)](./images_1.png)
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+ prompt: Group photo of clowns, oil on canvas, bittersweet expression
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+ ![images_2)](./images_2.png)
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+
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