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:
- a6d8838052fc5fd93497a46ba2104cba2e9f9d6e3eb667ae401e559566ffe692
- Size of remote file:
- 445 kB
- SHA256:
- 3c1d2e965175150db30b650b4a4005b19b1c9cbb55dd32776992457c192983a5
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