Instructions to use peterwilli/control_instruct_pix2pix_beta_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use peterwilli/control_instruct_pix2pix_beta_1 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("peterwilli/control_instruct_pix2pix_beta_1") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d9199413444df767429c74bedfffbb944a755a78bab0700fc25a2a7bc87e6d8
- Size of remote file:
- 1.46 GB
- SHA256:
- a6c140b5ca2a74e6d16f85d5a7e063c09b87fa69c4a1a9c84b7fb101c4b98fb8
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