Instructions to use falca/dark_shushi_bright with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use falca/dark_shushi_bright with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("falca/dark_shushi_bright", 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 falca/dark_shushi_bright: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/falca/dark_shushi_bright/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://falca/dark_shushi_bright/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/falca/dark_shushi_bright/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 1a541c989def3171e91131906b6ccfcb149f34bd69f42bb2ca721b28f3eaae4e
- Size of remote file:
- 492 MB
- SHA256:
- eb41246b713cbfb2b1c05168335f7815e7d42de50a7d55e4891dbb8d892123c0
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