Instructions to use meageropoulos/V-Express_dup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use meageropoulos/V-Express_dup with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("meageropoulos/V-Express_dup", 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: 133 Bytes
a4ab484 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:d62b5abbf25c09ee25d5e6d8ac3b24a55bdf4280e162bfba29f8d77c020c6d32
size 59064047
|