Instructions to use Rohanify/Anime-Elite-V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rohanify/Anime-Elite-V2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Rohanify/Anime-Elite-V2", 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
Commit History
-
Update README.md
Verified signaturecbf8496 -
Upload peak8.png
Verified signatureee38f63 -
Update README.md
Verified signature639ea39 -
Update README.md
Verified signature60548bd -
Update inference.py
Verified signatureee461a4 -
Update README.md
Verified signature1b17e70 -
Update README.md
Verified signaturecb59bd7 -
Upload peak7.png
Verified signaturec70fcc6 -
Use this!
Verified signature4201842 -
Update README.md
Verified signaturef60a636 -
Update README.md
Verified signature6278825 -
Update README.md
Verified signature7d0523a -
Update README.md
Verified signaturea4c9fb8 -
Models-V2
Verified signatureabc86d8 -
Delete ckpt_e045.pt
Verified signaturee83a20d -
Delete ckpt_e040.pt
Verified signature9f31a16 -
Models-V2 + Samples
Verified signature58d1880 -
initial commit
Verified signature5976b94