Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
Base Model
Photorealistic
Game Character
KandooAI
stable-diffusion
stable-diffusion-1.5
stable-diffusion-diffusers
Instructions to use Yntec/Juggernaut with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Juggernaut with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/Juggernaut", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 5124a63b022b511dd1dd34964a97b2ee3a9d8852fd3d466e493832098a78154a
- Size of remote file:
- 492 MB
- SHA256:
- 6b5e102421b187f4158a54cf3d3052d9aba553023d4023ad2f6f5f3ed3753d70
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