Instructions to use ArtisK/marcus_diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ArtisK/marcus_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("ArtisK/marcus_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:
- 5998b8b46c51ee48470d55b7d9b10904fdf95e92cb7ce4738b02b77564ab3c7d
- Size of remote file:
- 492 MB
- SHA256:
- 9b48ddca80d91425edb6b92414de6263da49117753b43822cc58187721e0be6f
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