Instructions to use Ryosuke/an2-stable-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ryosuke/an2-stable-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Ryosuke/an2-stable-diffusion", 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:
- 6a8e453e5de459b20098cd71d025d53010c6f4f0c86dffd589d2462680ad1e6b
- Size of remote file:
- 3.44 GB
- SHA256:
- fe4404ae8afade58e597f10464c4d7ade6c6a8db08bbb3e30f9a97ec053353a6
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