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checkpoint_Sign_256

Text-to-Image
Diffusers
Safetensors
stable-diffusion-xl
stable-diffusion-xl-diffusers
controlnet
Model card Files Community
QFun commited on
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End of training

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Files changed (18) hide show
  1. README.md +22 -0
  2. checkpoint-29500/controlnet/config.json +56 -0
  3. checkpoint-29500/controlnet/diffusion_pytorch_model.safetensors +3 -0
  4. checkpoint-29500/optimizer.bin +3 -0
  5. checkpoint-29500/random_states_0.pkl +3 -0
  6. checkpoint-29500/scaler.pt +3 -0
  7. checkpoint-29500/scheduler.bin +3 -0
  8. checkpoint-30000/controlnet/config.json +56 -0
  9. checkpoint-30000/controlnet/diffusion_pytorch_model.safetensors +3 -0
  10. checkpoint-30000/optimizer.bin +3 -0
  11. checkpoint-30000/random_states_0.pkl +3 -0
  12. checkpoint-30000/scaler.pt +3 -0
  13. checkpoint-30000/scheduler.bin +3 -0
  14. config.json +56 -0
  15. diffusion_pytorch_model.safetensors +3 -0
  16. image_control.png +0 -0
  17. images_0.png +0 -0
  18. images_1.png +0 -0
README.md ADDED
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+
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+ ---
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+ license: openrail++
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+ base_model: stabilityai/stable-diffusion-xl-base-1.0
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+ tags:
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+ - stable-diffusion-xl
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+ - stable-diffusion-xl-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-QFun/checkpoint_Sign_256
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+
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+ These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 with new type of conditioning.
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+ You can find some example images below.
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+ prompt:
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+ ![images_0)](./images_0.png)
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+ prompt:
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+ ![images_1)](./images_1.png)
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+
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+ "_diffusers_version": "0.24.0.dev0",
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+ "act_fn": "silu",
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+ "conditioning_channels": 3,
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+ "controlnet_conditioning_channel_order": "rgb",
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+ "cross_attention_dim": 2048,
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+ "down_block_types": [
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+ "DownBlock2D",
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+ "CrossAttnDownBlock2D",
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+ "CrossAttnDownBlock2D"
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+ "upcast_attention": null,
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+ "use_linear_projection": true
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