Instructions to use GGPENG/StyleDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GGPENG/StyleDiffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GGPENG/StyleDiffusion", torch_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:
- e9f0c18adda917f3db333b00125b2af056a3cd526e752546456b9a8b4bdbe10c
- Size of remote file:
- 76.7 MB
- SHA256:
- 307846bf01e162c53babb5b1068c962657437b8d93df7ffd7593401ac447f395
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