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:
- 508607282376e4553ca2557f18ab74b9ac7662e29afefc1b71be33c331a7a0e5
- Size of remote file:
- 3.44 GB
- SHA256:
- 87f5cc7c32ebef57aec608e632c8046cffb19070a9ad68821511400b46996a30
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