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_encoder /coreml_model.mlmodelc /coremldata.bin
Download vae_encoder/coreml_model.mlmodelc/coremldata.bin from digitalbrain79/juggernaut-xl-lightning-4step-coreml-6bits-compiled: direct link, hf CLI and curl.
- Browser
- Download file 874 Bytes
-
https://huggingface.co/digitalbrain79/juggernaut-xl-lightning-4step-coreml-6bits-compiled/resolve/main/vae_encoder/coreml_model.mlmodelc/coremldata.bin
- Command line
-
hf download hf://digitalbrain79/juggernaut-xl-lightning-4step-coreml-6bits-compiled/vae_encoder/coreml_model.mlmodelc/coremldata.bin
-
curl -L -o coremldata.bin https://huggingface.co/digitalbrain79/juggernaut-xl-lightning-4step-coreml-6bits-compiled/resolve/main/vae_encoder/coreml_model.mlmodelc/coremldata.bin
874 Bytes
- Xet hash:
- d5dd8f655fc2252e0cd2635c6378b0c8209d774f021fb04a78484c431988c0ea
- Size of remote file:
- 874 Bytes
- SHA256:
- cc44873ad4c7ab4d3a0c951b65616d2bb4e633f1c1835af8041dfcd97d0f73e2
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