Instructions to use digitalbrain79/juggernaut-xl-lightning-4step-coreml-6bits-compiled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digitalbrain79/juggernaut-xl-lightning-4step-coreml-6bits-compiled with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("digitalbrain79/juggernaut-xl-lightning-4step-coreml-6bits-compiled", 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 vae_decoder/coreml_model.mlmodelc/weights/weight.bin from digitalbrain79/juggernaut-xl-lightning-4step-coreml-6bits-compiled: direct link, hf CLI and curl.
- Browser
- Download file 99 MB
-
https://huggingface.co/digitalbrain79/juggernaut-xl-lightning-4step-coreml-6bits-compiled/resolve/main/vae_decoder/coreml_model.mlmodelc/weights/weight.bin
- Command line
-
hf download hf://digitalbrain79/juggernaut-xl-lightning-4step-coreml-6bits-compiled/vae_decoder/coreml_model.mlmodelc/weights/weight.bin
-
curl -L -o weight.bin https://huggingface.co/digitalbrain79/juggernaut-xl-lightning-4step-coreml-6bits-compiled/resolve/main/vae_decoder/coreml_model.mlmodelc/weights/weight.bin
99 MB
- Xet hash:
- b458fd71b5beecab057ec731f62eb601e9a78c9b724cb9042627092200fe2a5e
- Size of remote file:
- 99 MB
- SHA256:
- 5b6dced84df022c469c52e6369393bcd62bd47df2327e7eedaa750e9a705332a
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