Instructions to use mitchtech/vulcan-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mitchtech/vulcan-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("mitchtech/vulcan-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:
- 76dbbea01c6f9b3199bb27347742de0e8c16ae8b252e5e53a917f94488f08d7f
- Size of remote file:
- 492 MB
- SHA256:
- 6b1b0725b366ba39326f1c0803bf52231d8899b3c56b5e32416b7f9ae4869a77
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