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
- Draw Things
- DiffusionBee
- Xet hash:
- c6994fe60e69f518a18d8477958b626fef95bbaeae02f113d4b0975b9a1aa0e3
- Size of remote file:
- 492 MB
- SHA256:
- 560db897b1126ba684f2c9f1b572535b73efa79f56a85e252226f4eaa46044a2
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