Instructions to use Mitsua/vroid-diffusion-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Mitsua/vroid-diffusion-test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Mitsua/vroid-diffusion-test", 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:
- 541be5bb30232062f83dca9906c2615829ce8285f7c37afb2e313d661d1c686a
- Size of remote file:
- 1.73 GB
- SHA256:
- 87d061a1893ad0ce5e4488420e790428d2a7216aac178e88003dc1722eef3053
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