Instructions to use shubhdotai/runDiffusionFX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use shubhdotai/runDiffusionFX with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("shubhdotai/runDiffusionFX", 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:
- 93f8920519437022fd15530ea131fa09e24ff187dfb9b1cd8035d2032d0fa93d
- Size of remote file:
- 492 MB
- SHA256:
- ee8db54ea5fcc5dd78af6e08d1814dec9cba842bbcbb421a1e842cdc07d16a94
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