Instructions to use maderix/junggi-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use maderix/junggi-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("maderix/junggi-model", 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:
- 340845cdd577ad0f6181c65559d7ef0e20601d919a9e04c241d64db6112e35c5
- Size of remote file:
- 492 MB
- SHA256:
- 60690f318f875811f07125da2c6929f4928d9178730942c0a41845bfd89e0dd4
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