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:
- a6273e2f3376f9705ccce89f5f7b27d751fd9240df609b92c8570a9fb43bd9ef
- Size of remote file:
- 335 MB
- SHA256:
- 97829bc55ec4262ebe46d1b33f0697a088779781990d6fcabd4807f7461aae9a
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