Instructions to use williamberman/controlnet-fill50k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use williamberman/controlnet-fill50k with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("williamberman/controlnet-fill50k", 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
- Xet hash:
- 6287ebf57917eb361c8dd86ff66ec0b6dad956269f80a8d0dac9db593af84039
- Size of remote file:
- 1.45 GB
- SHA256:
- 48344a35b3ba3f11275f4a4fd1adae9ea55e6c1fbb3957d20ca2971ecb2f569f
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