Instructions to use AdamOswald1/Anime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AdamOswald1/Anime with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AdamOswald1/Anime", 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:
- 7aafb05bf57024520ed0d4c7ed74d23a25cf09ec2d690cffcedeba82071047a6
- Size of remote file:
- 492 MB
- SHA256:
- 9d41e67c537c09c680d0268e6ca2f7d5b4937c49b3db48449a7acd80354394c8
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