Instructions to use mgeorgi/visage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mgeorgi/visage with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mgeorgi/visage", 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 mgeorgi/visage: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/mgeorgi/visage/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://mgeorgi/visage/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/mgeorgi/visage/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- a2b9e3e08a735aee762ed0d86a167d11b93b450cf341b3af266845f71d321646
- Size of remote file:
- 492 MB
- SHA256:
- fdfa9830a0cf622e57eb3a275321da915eee67335aea6b1a887b6e4b09822ec5
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