Instructions to use RzZ/sd-v1-4-adapter-sketch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RzZ/sd-v1-4-adapter-sketch with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("RzZ/sd-v1-4-adapter-sketch", 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:
- b15ca2dafbe19d9cccad9d3b9519db1b5e3afb7c603ed29319834df936821045
- Size of remote file:
- 308 MB
- SHA256:
- e006de134c9db86d1d44e6f13783e0846a78879afa3bd6f73feb3d7f6a5715b1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.