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:
- c2d726d5095b496b9c6153621e76a15f1b6e2b52ff5880364b62c3e84005028f
- Size of remote file:
- 2.13 GB
- SHA256:
- 90b5754b9e64871f79d41f2658c72365ffb6b503d4f0125548105df5e30b9401
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