Text-to-Image
Diffusers
English
StableDiffusionXLPipeline
stable-diffusion
stable-diffusion-xl
sdxl
hyper-sd
photorealistic
fast
low-step
juggernaut
rundiffusion
kandooai
Instructions to use RunDiffusion/Juggernaut-X-Hyper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RunDiffusion/Juggernaut-X-Hyper 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-X-Hyper", 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
Is this a model similar to hyper SD? Can it run in the same way
#2
by guicen - opened
Is this a model similar to hyper SD? Can it run in the same way
@guicen yes, its similar but everything is also merged so you can load it directly instead of applying Lora's/unets
This one is more suited to 5-6 steps
@guicen
@YaTharThShaRma999 is correct. It’s a custom weighted merge into Hyper. You don’t need to load any extra LoRAs to make it run.
DPM++ SDE Karras
5-6 steps
1.5 CFG (1 for more photo realistic)
Resolution- stick to SDXL appropriate
Have fun!