Instructions to use sazyou-roukaku/BracingEvoMix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sazyou-roukaku/BracingEvoMix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sazyou-roukaku/BracingEvoMix", 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
File size: 135 Bytes
9673710 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:6ccb6a8b2a2a8bf8b7f910e542a4fa3d5395c1b12a8b05430132a745eae4bd54
size 2132626066
|