Instructions to use ddPn08/unknownx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ddPn08/unknownx with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ddPn08/unknownx", dtype=torch.bfloat16, device_map="cuda") prompt = "masterpiece, best quality, 1girl, moriya suwako, solo, brown headwear, blonde hair, medium hair, bangs, yellow eyes, purple vest, white shirt, frog print, outdoors, lake, rain, partially submerged" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 94b0d5d955d847e172bac7796a823540e956b3533ce7dc914136698f5fb67713
- Size of remote file:
- 335 MB
- SHA256:
- 6c26364cbd09099c3357dc6f1dfe12206d00152bfbcbfb4319bdac41e942b9b8
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