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:
- 81fbe2f8c6382cfd4a3c397ead17e986b5cc87999cfe8e115539fadc10509d6b
- Size of remote file:
- 1.21 MB
- SHA256:
- de531a27a135a08d50439aaadb686a79c86059f8f6bc46f1ff2be0c00b8617b6
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