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:
- 331b218700ff2d09549fc749706cbf6e81b674c855621903048ca3c5221cfcd3
- Size of remote file:
- 1.39 GB
- SHA256:
- 747674e97f70092d508c330b0c21dcb68f6370e394ecdc04939c5464b1e23bdb
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