Instructions to use flax/Cyberpunk-Anime-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use flax/Cyberpunk-Anime-Diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("flax/Cyberpunk-Anime-Diffusion", 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
- Xet hash:
- 663a3a7d0e159dd0b1359a09d6d2962da1b776a27dbc6af5d8b1a81b1b07c977
- Size of remote file:
- 3.44 GB
- SHA256:
- bf3bc1e0e93822f847e1ed950f93a65cef97f7d671a4541153c3f037abe988ca
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.