Instructions to use GeneralAwareness/MirrorMask with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GeneralAwareness/MirrorMask with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GeneralAwareness/MirrorMask", 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 GeneralAwareness/MirrorMask: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/GeneralAwareness/MirrorMask/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://GeneralAwareness/MirrorMask/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/GeneralAwareness/MirrorMask/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 585594ad7c6b43192db50106381b779d88d9d71c2f6d40e4c08162caaed7afcc
- Size of remote file:
- 492 MB
- SHA256:
- 41774c1704c1fa79ee03c6a6d434a02fa3a830da1f7a691f2e592c9cd65ecb73
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