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:
- c6c863661b0546611a808ff32cb0e25d6c6e293641f777c848d4713d6ef1660a
- Size of remote file:
- 492 MB
- SHA256:
- 90676d23fa591600af4dc09eb80bf03a18f97cc7a9798f4969482b6068ee72c8
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