Instructions to use limiteinductive/Juggernaut-XL_v9_RunDiffusionPhoto_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use limiteinductive/Juggernaut-XL_v9_RunDiffusionPhoto_v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("limiteinductive/Juggernaut-XL_v9_RunDiffusionPhoto_v2", torch_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
- Xet hash:
- bc58f338e9a63199e7e9ab9b451505ccbf9998b6815442366eb3c74064721e64
- Size of remote file:
- 492 MB
- SHA256:
- 7a741994c76532c7388e8b8035237d6bddce05786970ea98d164da2d1b1c8252
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