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Brvcket
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sdxl-outpainting-doors-3

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

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  1. README.md +39 -0
  2. checkpoint-11328/controlnet/config.json +58 -0
  3. checkpoint-11328/controlnet/diffusion_pytorch_model.safetensors +3 -0
  4. checkpoint-11328/optimizer.bin +3 -0
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  6. checkpoint-11328/scaler.pt +3 -0
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  8. checkpoint-14160/controlnet/config.json +58 -0
  9. checkpoint-14160/controlnet/diffusion_pytorch_model.safetensors +3 -0
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  14. checkpoint-2832/controlnet/config.json +58 -0
  15. checkpoint-2832/controlnet/diffusion_pytorch_model.safetensors +3 -0
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  20. checkpoint-5664/controlnet/config.json +58 -0
  21. checkpoint-5664/controlnet/diffusion_pytorch_model.safetensors +3 -0
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  26. checkpoint-8496/controlnet/config.json +58 -0
  27. checkpoint-8496/controlnet/diffusion_pytorch_model.safetensors +3 -0
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  31. checkpoint-8496/scheduler.bin +3 -0
  32. config.json +58 -0
  33. diffusion_pytorch_model.safetensors +3 -0
  34. logs/sd_xl_train_controlnet/1738272373.742724/events.out.tfevents.1738272373.scene-gen-ai-v4-0.1451.1 +3 -0
  35. logs/sd_xl_train_controlnet/1738272373.7887685/hparams.yml +54 -0
  36. logs/sd_xl_train_controlnet/events.out.tfevents.1738272373.scene-gen-ai-v4-0.1451.0 +3 -0
README.md ADDED
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+ ---
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+ base_model: Brvcket/stable-outpainting-xl-0.1
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+ library_name: diffusers
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+ license: openrail++
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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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+ - diffusers-training
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+ inference: true
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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-Brvcket/sdxl-outpainting-doors-3
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+
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+ These are controlnet weights trained on Brvcket/stable-outpainting-xl-0.1 with new type of conditioning.
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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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