Instructions to use Inzamam567/Useless-SomethingV2_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Inzamam567/Useless-SomethingV2_2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Inzamam567/Useless-SomethingV2_2", dtype=torch.bfloat16, device_map="cuda") prompt = "masterpiece, masterpiece, masterpiece, best quality, ultra-detailed, 1girl, hatsune miku, blue hair, upper body, looking at viewer, ?, negative space, bioluminescence, bioluminescence, bioluminescence, darkness, wind, butterfly, black background, portrait, ice" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download vae/diffusion_pytorch_model.bin from Inzamam567/Useless-SomethingV2_2: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/Inzamam567/Useless-SomethingV2_2/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Inzamam567/Useless-SomethingV2_2/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Inzamam567/Useless-SomethingV2_2/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- d41a942268816215808bd13e3db6a9ef38b1b8456c1c30ae67fe9bbd23b37156
- Size of remote file:
- 335 MB
- SHA256:
- 26ff966b08c3cceaa0289337cdfde9feda7b2c54983700aee4e2fc6eac3cbcea
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