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:
- 8647d34e9d5a7c27fa50c0cbe4951fc5e7a5d3383114385a4ecf126386eb303d
- Size of remote file:
- 3.4 MB
- SHA256:
- 386e8b5f429c6e3066924d4c91ba7c702d78e2108497dd53d25480168abdbd43
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