Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use JaspervanLeuven/controlnet_rect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JaspervanLeuven/controlnet_rect with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("JaspervanLeuven/controlnet_rect") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Upload model
Browse files- config.json +1 -1
- diffusion_pytorch_model.safetensors +1 -1
config.json
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{
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"_class_name": "ControlNetModel",
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"_diffusers_version": "0.28.0.dev0",
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"_name_or_path": "
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"act_fn": "silu",
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"addition_embed_type": null,
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"addition_embed_type_num_heads": 64,
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{
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"_class_name": "ControlNetModel",
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"_diffusers_version": "0.28.0.dev0",
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"_name_or_path": "/home/wisley/train_controlnet/output/checkpoint-8000/controlnet",
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"act_fn": "silu",
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"addition_embed_type": null,
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"addition_embed_type_num_heads": 64,
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diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 1445157120
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version https://git-lfs.github.com/spec/v1
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oid sha256:bb02a6190c9ae35d612dee138cef55132cffce59a7b4267a215da0cdbf841684
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size 1445157120
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