Instructions to use tomriddle/anythinv3-vae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tomriddle/anythinv3-vae with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tomriddle/anythinv3-vae", 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
69ec2ab | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:19fa5a0f420cf050cfa801abff84bbdd139d242eb30103cb18275d4b11c6db0a
size 3438366373
|