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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 3010dbcf3118bd11bb7e7ca1228d6644a849037e54aedc6a39e6d756d32e2b62
- Size of remote file:
- 4.27 GB
- SHA256:
- ae0a943ea3665a27a232795aabeaba2d29ccadf84d71cdb3a342593b8d090934
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