Instructions to use igorshmel/arisha-stroke-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use igorshmel/arisha-stroke-style 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-stroke-style", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 930238af8fb05ee498aa88a2c8cb4b499be56db193a1402c63302393fee263a9
- Size of remote file:
- 246 MB
- SHA256:
- ee4225b8ed8824d21a633fb4ba556cdb489468ed61a77be13b94e3f85cf96c05
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