Instructions to use fusing/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fusing/test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fusing/test", 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 safety_checker/pytorch_model.fp16.bin from fusing/test: direct link, hf CLI and curl.
- Browser
- Download file 608 MB
-
https://huggingface.co/fusing/test/resolve/main/safety_checker/pytorch_model.fp16.bin
- Command line
-
hf download hf://fusing/test/safety_checker/pytorch_model.fp16.bin
-
curl -L -o pytorch_model.fp16.bin https://huggingface.co/fusing/test/resolve/main/safety_checker/pytorch_model.fp16.bin
608 MB
- Xet hash:
- 2013295c0b288e56f01d6cf49d09ebd05fd4829c99d260f32c5170d2dd0a632a
- Size of remote file:
- 608 MB
- SHA256:
- 22ba87205445ad5def13e54919b038dcfb7321ec1c3f4b12487d4fba6036125f
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