Instructions to use mattyamonaca/controlnet_vp_one_proto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mattyamonaca/controlnet_vp_one_proto with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mattyamonaca/controlnet_vp_one_proto", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Commit History
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Rename control_v11file_sd15_vp_one_proto.safetensors to diffusion_pytorch_model.safetensors
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Rename control_v11file_sd15_vp_one_proto.json to config.json
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add proto model
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initial commit
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