Instructions to use Runware/TwinFlow-Z-Image-Turbo-exp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Runware/TwinFlow-Z-Image-Turbo-exp with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Runware/TwinFlow-Z-Image-Turbo-exp", 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
Download assets/leaderboard.webp from Runware/TwinFlow-Z-Image-Turbo-exp: direct link, hf CLI and curl.
- Browser
- Download file 63.8 kB
-
https://huggingface.co/Runware/TwinFlow-Z-Image-Turbo-exp/resolve/main/assets/leaderboard.webp
- Command line
-
hf download hf://Runware/TwinFlow-Z-Image-Turbo-exp/assets/leaderboard.webp
-
curl -L -o leaderboard.webp https://huggingface.co/Runware/TwinFlow-Z-Image-Turbo-exp/resolve/main/assets/leaderboard.webp
63.8 kB
