Instructions to use tk93/V-Express with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tk93/V-Express with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tk93/V-Express", 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:
- 79fe1256d969d4656bef82daa9c3c47b028e049cc09a736dc327ec46cf4df3bf
- Size of remote file:
- 59.1 MB
- SHA256:
- d62b5abbf25c09ee25d5e6d8ac3b24a55bdf4280e162bfba29f8d77c020c6d32
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