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
Download unet/diffusion_pytorch_model.bin from ddPn08/unknownx: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/ddPn08/unknownx/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://ddPn08/unknownx/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/ddPn08/unknownx/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 3e14666f5513f0f7d0deb69450f43d6ff86fdf617bfbe74d2743f3050a51fc78
- Size of remote file:
- 3.44 GB
- SHA256:
- 665d712e7a8ad45b3bd5daf997efa9fca5e36b6c7e86790b262031118bb20820
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