Instructions to use anlanwang925/controlnet_diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anlanwang925/controlnet_diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("anlanwang925/controlnet_diffusion", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- dc4b9ab37cedba3cd4b3f73508795737de9d3184fd4c3a9d83eb9e56fd929769
- Size of remote file:
- 681 MB
- SHA256:
- 22bc8e104d064b678ef7d2d2b217d4a8c9bfb79fb35792417cdf228e70adc7fb
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