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
juggernaut-xl-lightning-4step-coreml-6bits-compiled / vae_decoder /coreml_model.mlmodelc /coremldata.bin
Download vae_decoder/coreml_model.mlmodelc/coremldata.bin from digitalbrain79/juggernaut-xl-lightning-4step-coreml-6bits-compiled: direct link, hf CLI and curl.
- Browser
- Download file 870 Bytes
-
https://huggingface.co/digitalbrain79/juggernaut-xl-lightning-4step-coreml-6bits-compiled/resolve/main/vae_decoder/coreml_model.mlmodelc/coremldata.bin
- Command line
-
hf download hf://digitalbrain79/juggernaut-xl-lightning-4step-coreml-6bits-compiled/vae_decoder/coreml_model.mlmodelc/coremldata.bin
-
curl -L -o coremldata.bin https://huggingface.co/digitalbrain79/juggernaut-xl-lightning-4step-coreml-6bits-compiled/resolve/main/vae_decoder/coreml_model.mlmodelc/coremldata.bin
870 Bytes
- Xet hash:
- 095d9c4e86e1cf690ce5a34274728f77a660175c71ff087e05b3287722369f45
- Size of remote file:
- 870 Bytes
- SHA256:
- 416ed5dcb73ffc557f85b0f448bd8775b76b15094f7df58a2d4b96bc4134454b
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