End of training
Browse files- .gitattributes +1 -0
- README.md +2 -2
- checkpoint-1000/controlnet/config.json +3 -8
- checkpoint-1000/controlnet/diffusion_pytorch_model.safetensors +2 -2
- checkpoint-1000/optimizer.bin +2 -2
- checkpoint-1000/random_states_0.pkl +2 -2
- checkpoint-1000/scaler.pt +2 -2
- checkpoint-1000/scheduler.bin +2 -2
- checkpoint-1500/controlnet/config.json +3 -8
- checkpoint-1500/controlnet/diffusion_pytorch_model.safetensors +2 -2
- checkpoint-1500/optimizer.bin +2 -2
- checkpoint-1500/random_states_0.pkl +2 -2
- checkpoint-1500/scaler.pt +2 -2
- checkpoint-1500/scheduler.bin +2 -2
- checkpoint-2000/controlnet/config.json +3 -8
- checkpoint-2000/controlnet/diffusion_pytorch_model.safetensors +2 -2
- checkpoint-2000/optimizer.bin +2 -2
- checkpoint-2000/random_states_0.pkl +2 -2
- checkpoint-2000/scaler.pt +2 -2
- checkpoint-2000/scheduler.bin +2 -2
- checkpoint-2500/controlnet/config.json +3 -8
- checkpoint-2500/controlnet/diffusion_pytorch_model.safetensors +2 -2
- checkpoint-2500/optimizer.bin +2 -2
- checkpoint-2500/random_states_0.pkl +2 -2
- checkpoint-2500/scaler.pt +2 -2
- checkpoint-2500/scheduler.bin +2 -2
- checkpoint-3000/controlnet/config.json +3 -8
- checkpoint-3000/controlnet/diffusion_pytorch_model.safetensors +2 -2
- checkpoint-3000/optimizer.bin +2 -2
- checkpoint-3000/random_states_0.pkl +2 -2
- checkpoint-3000/scaler.pt +2 -2
- checkpoint-3000/scheduler.bin +2 -2
- checkpoint-3500/controlnet/config.json +50 -0
- checkpoint-3500/controlnet/diffusion_pytorch_model.safetensors +3 -0
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- checkpoint-3500/scaler.pt +3 -0
- checkpoint-3500/scheduler.bin +3 -0
- checkpoint-500/controlnet/config.json +3 -8
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- images_0.png +0 -0
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.gitattributes
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@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: creativeml-openrail-m
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-
base_model:
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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# controlnet-acozma/controlnet-fill50k
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-
These are controlnet weights trained on
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You can find some example images below.
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prompt: red circle with blue background
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---
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license: creativeml-openrail-m
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+
base_model: runwayml/stable-diffusion-v1-5
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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# controlnet-acozma/controlnet-fill50k
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+
These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning.
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You can find some example images below.
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prompt: red circle with blue background
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19 |

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checkpoint-1000/controlnet/config.json
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