Instructions to use codean0n/juggernautXL_version5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codean0n/juggernautXL_version5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("codean0n/juggernautXL_version5", 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_2/model.safetensors from codean0n/juggernautXL_version5: direct link, hf CLI and curl.
- Browser
- Download file 1.39 GB
-
https://huggingface.co/codean0n/juggernautXL_version5/resolve/main/text_encoder_2/model.safetensors
- Command line
-
hf download hf://codean0n/juggernautXL_version5/text_encoder_2/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/codean0n/juggernautXL_version5/resolve/main/text_encoder_2/model.safetensors
1.39 GB
- Xet hash:
- 84826660b4817adc86932498ddf5793b1eb69e84fb724477cffe126347483a97
- Size of remote file:
- 1.39 GB
- SHA256:
- b1edb72cfcbfa04c4abd80256b4f7d45d4798d9f6d93f8f95dbd38277658e751
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