Instructions to use timduck8/CyberRealisticAnimeV5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use timduck8/CyberRealisticAnimeV5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("timduck8/CyberRealisticAnimeV5", 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:
- 6a5a5b2b43e07d0702f070e19ce2b4a1176205809469b664ac5750d07dfc05ed
- Size of remote file:
- 167 MB
- SHA256:
- 5c5fa7995538f867faa4b4a11a4c5332ff7e9f73f00d1e11bc263711f6a56e3a
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