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
- Draw Things
- DiffusionBee
- Xet hash:
- c9c8e28737463c402081d44b26fe6d52f91d2e8a53c6d74145051cf7bf1c84cd
- Size of remote file:
- 3.44 GB
- SHA256:
- 5a3100f34c1313e0ad3e0be4feb4c49ddb901acd0dba6a235adc69d0fd414a08
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