Instructions to use igorshmel/stroke-brush with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use igorshmel/stroke-brush 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/stroke-brush", 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:
- d1cbf647d793a00dd2dc192d293aad63411678826f2b64fd1f703ef1587f1ee4
- Size of remote file:
- 492 MB
- SHA256:
- 167a50265b2fd0557106937fa2136938adb35dcac1be5ad9d59e8f7514348563
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