Text-to-Image
Diffusers
Safetensors
MOSSImagePipeline
moss-image
juggernaut
photorealistic
cinematic
photography
full-finetune
comfyui
Not-For-All-Audiences
Instructions to use Kandoo/Juggernaut-Moss with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kandoo/Juggernaut-Moss with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Kandoo/Juggernaut-Moss", dtype=torch.bfloat16, device_map="cuda") prompt = "Portrait of a 23-year-old woman of mixed Black and Asian heritage with voluminous curly hair, wearing a mustard yellow knit sweater, standing in a field of tall dry grass. Backlit by a low setting sun, the hair glowing with a warm halo, lens flare across the frame, her face softly lit and dewy natural skin. 85mm lens at f/1.4, dreamy golden hour portrait photography." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Kandoo/Juggernaut-Moss", dtype=torch.bfloat16, device_map="cuda")
prompt = "Portrait of a 23-year-old woman of mixed Black and Asian heritage with voluminous curly hair, wearing a mustard yellow knit sweater, standing in a field of tall dry grass. Backlit by a low setting sun, the hair glowing with a warm halo, lens flare across the frame, her face softly lit and dewy natural skin. 85mm lens at f/1.4, dreamy golden hour portrait photography."
image = pipe(prompt).images[0]Not-For-All-Audiences
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