Instructions to use igorshmel/arisha_sketch_low with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use igorshmel/arisha_sketch_low with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("igorshmel/arisha_sketch_low", 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:
- 5dcef0cba121faba7417e687ad7e0a950079fd91756b49b07ba3e48e7b9f0e3b
- Size of remote file:
- 492 MB
- SHA256:
- 0654562c652e4560ae578ae2390e399e5372205cad184dea9ee7fe646f6dccac
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