Instructions to use Laughify/sonic06-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Laughify/sonic06-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("Laughify/sonic06-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:
- 70cf44344b2d8780556cc161a6c6b4e1372907efda116588d07cc047e841ca59
- Size of remote file:
- 3.44 GB
- SHA256:
- 923389a0e5d5145f4060d6d282e85a51d94d3ef1ab1fec5b15c14ae897b76137
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