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JaspervanLeuven
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controlnet5k

Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Model card Files Community
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  1. README.md +39 -0
  2. checkpoint-10000/controlnet/config.json +52 -0
  3. checkpoint-10000/controlnet/diffusion_pytorch_model.safetensors +3 -0
  4. checkpoint-10000/optimizer.bin +3 -0
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  7. checkpoint-12000/controlnet/config.json +52 -0
  8. checkpoint-12000/controlnet/diffusion_pytorch_model.safetensors +3 -0
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  12. checkpoint-2000/controlnet/config.json +52 -0
  13. checkpoint-2000/controlnet/diffusion_pytorch_model.safetensors +3 -0
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  16. checkpoint-2000/scheduler.bin +3 -0
  17. checkpoint-4000/controlnet/config.json +52 -0
  18. checkpoint-4000/controlnet/diffusion_pytorch_model.safetensors +3 -0
  19. checkpoint-4000/optimizer.bin +3 -0
  20. checkpoint-4000/random_states_0.pkl +3 -0
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  22. checkpoint-6000/controlnet/config.json +52 -0
  23. checkpoint-6000/controlnet/diffusion_pytorch_model.safetensors +3 -0
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  27. checkpoint-8000/controlnet/config.json +52 -0
  28. checkpoint-8000/controlnet/diffusion_pytorch_model.safetensors +3 -0
  29. checkpoint-8000/optimizer.bin +3 -0
  30. checkpoint-8000/random_states_0.pkl +3 -0
  31. checkpoint-8000/scheduler.bin +3 -0
  32. config.json +52 -0
  33. diffusion_pytorch_model.safetensors +3 -0
README.md ADDED
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+ ---
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+ license: creativeml-openrail-m
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+ library_name: diffusers
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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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+ - diffusers-training
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+ base_model: runwayml/stable-diffusion-v1-5
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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-JaspervanLeuven/controlnet5k
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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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+
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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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