Instructions to use stablediffusionapi/vr-muepic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/vr-muepic with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/vr-muepic", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from stablediffusionapi/vr-muepic: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/stablediffusionapi/vr-muepic/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://stablediffusionapi/vr-muepic/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/stablediffusionapi/vr-muepic/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- abacf357eecb889b5f4754c0db7742a713eec8eac6534935d2c2761823540d33
- Size of remote file:
- 246 MB
- SHA256:
- f786c38c72a91dda4a42d03bae7196be56a80a255a18f177d4b58a3160e57395
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