Instructions to use Yuanshi/LinFusion-1-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yuanshi/LinFusion-1-5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yuanshi/LinFusion-1-5", 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:
- 3d4a593d845cdd3ca9d9814230ee9262370057385494ac112d00597d42b16f76
- Size of remote file:
- 198 MB
- SHA256:
- faa94b01863b875d9b561fe6a3a46e86044d51f0a4de9a0ecae664e7e9bb5261
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