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controlnet-de-identification

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Safetensors
stable-diffusion
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controlnet
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End of training

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Files changed (15) hide show
  1. .gitattributes +1 -0
  2. README.md +2 -2
  3. checkpoint-120000/pytorch_model/mp_rank_00_model_states.pt +1 -1
  4. checkpoint-120000/pytorch_model/zero_pp_rank_0_mp_rank_00_optim_states.pt +1 -1
  5. checkpoint-120000/random_states_0.pkl +1 -1
  6. checkpoint-150000/pytorch_model/mp_rank_00_model_states.pt +1 -1
  7. checkpoint-150000/pytorch_model/zero_pp_rank_0_mp_rank_00_optim_states.pt +1 -1
  8. checkpoint-150000/random_states_0.pkl +1 -1
  9. checkpoint-90000/pytorch_model/mp_rank_00_model_states.pt +1 -1
  10. checkpoint-90000/pytorch_model/zero_pp_rank_0_mp_rank_00_optim_states.pt +1 -1
  11. checkpoint-90000/random_states_0.pkl +1 -1
  12. diffusion_pytorch_model.safetensors +1 -1
  13. image_control.png +0 -0
  14. images_0.png +2 -2
  15. images_1.png +0 -0
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README.md CHANGED
@@ -16,8 +16,8 @@ inference: true
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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: a men in cafe
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- ![images_0)](./images_0.png)
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  prompt: a middle-aged black rapper in a black hat
 
 
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  ![images_1)](./images_1.png)
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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: a middle-aged black rapper in a black hat
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+ ![images_0)](./images_0.png)
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+ prompt: a men in cafe
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  ![images_1)](./images_1.png)
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