Instructions to use ManojKhanal/controlnet_dresscode with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ManojKhanal/controlnet_dresscode with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ManojKhanal/controlnet_dresscode", 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:
- c158ecfe9aa0e94649a55b1a28f9e238b25291d5dced36ec9fc50bab78f346df
- Size of remote file:
- 1.46 GB
- SHA256:
- bbb923581129f9aa0f28918ff1b7665a0edf3c34b96bf189e7f7ba119c96ba09
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