Instructions to use Luca207/field_diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Luca207/field_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("Luca207/field_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:
- e849c38db036eb3f55549066c675e3f059e0553a688ee8c6ba52f857a600e406
- Size of remote file:
- 3.44 GB
- SHA256:
- a750591823ff78be005a8ef9f6c8c7b0bc1c86323cb7575ee33f474b301ad897
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