Instructions to use AIGaming/white_v20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AIGaming/white_v20 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AIGaming/white_v20", dtype=torch.bfloat16, device_map="cuda") prompt = "Score_9, Score_8_up, Score_7_up,1girl, solo, hair ornament, flower, hair flower, blurry, smile, brown hair, looking at viewer, lips, looking back, depth of field, portrait, long hair, blurry background, bangs, japanese clothes, bare shoulders, red lips, parted lips,outdoors,lake," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download vae/diffusion_pytorch_model.bin from AIGaming/white_v20: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/AIGaming/white_v20/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://AIGaming/white_v20/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/AIGaming/white_v20/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 2f78365d53e2262936e6b1f9f0cc05704b47129d01d9aea3a5ed423eb0371924
- Size of remote file:
- 335 MB
- SHA256:
- 5e3b428af382c00db0c0cc7d07d6a739396d2709c1492da9450f180fc134f691
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