Instructions to use igorshmel/hatching-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use igorshmel/hatching-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/hatching-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:
- c171cb4cea8cd3e8adccd7f279f8f9f19488f5785cfd8bb66db35c53438eb100
- Size of remote file:
- 3.44 GB
- SHA256:
- 149f7bf0dfa3cdf63eb628d2c7729c4f5c219b28c40c884ee41d25c494b26c1b
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