Instructions to use GraydientPlatformAPI/pd-for-anime2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/pd-for-anime2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/pd-for-anime2", 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:
- 03d32b711e988c158c59412babd5200b95987a86035ac9554d07cbc94ee3b650
- Size of remote file:
- 246 MB
- SHA256:
- 248757730eb28e42504ca3a6aa03d3ae60a61e308bb1818527affd0040f08cb6
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