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
Download 000028_scribble_concat_hed.webp from cavargas10/controlnet-scribble-sdxl-1.0: direct link, hf CLI and curl.
- Browser
- Download file 266 kB
-
https://huggingface.co/cavargas10/controlnet-scribble-sdxl-1.0/resolve/main/000028_scribble_concat_hed.webp
- Command line
-
hf download hf://cavargas10/controlnet-scribble-sdxl-1.0/000028_scribble_concat_hed.webp
-
curl -L -o 000028_scribble_concat_hed.webp https://huggingface.co/cavargas10/controlnet-scribble-sdxl-1.0/resolve/main/000028_scribble_concat_hed.webp
266 kB

- Xet hash:
- 5aab74ca29154640ebe0bc603e02842e4fc7a94402deefdb42f592bb1c675819
- Size of remote file:
- 266 kB
- SHA256:
- f1993b4d902595eea87e92f462ed7f1b70ec12c617496e4d88e2cda6de5b5c83
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.