Instructions to use cavargas10/controlnet-scribble-sdxl-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cavargas10/controlnet-scribble-sdxl-1.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cavargas10/controlnet-scribble-sdxl-1.0", 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:
- 740de618fc28c93258d16a41922b537d1d12ec53305bd301f832ea384b08241f
- Size of remote file:
- 278 kB
- SHA256:
- 43229ff959cab43b7bb9e5ab12177d26e0bf8df6007a7133842a640eb444275c
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