Text-to-Image
Diffusers
English
StableDiffusionXLPipeline
stable-diffusion
stable-diffusion-xl
sdxl
photorealistic
photography
cinematic
portrait
juggernaut
rundiffusion
kandooai
Instructions to use RunDiffusion/Juggernaut-XL-v9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RunDiffusion/Juggernaut-XL-v9 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("RunDiffusion/Juggernaut-XL-v9", 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
Image generation comparison report
#13
by tedmasterwebgmail - opened
I'm working on a personal project that requires the creation of hundreds of "selfies" (headshots, actually). I compared 20 models and produced samples for each using the same prompt. I'm posting this here in case it can save anyone time when doing similar research. You can see the report here: https://www.chicagoitsystems.com/ai-model-samples/
I would love your feedback!
Ted Stresen-Reuter
Thanks for the effort
RunDiffusion changed discussion status to closed