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
Change scheduler to DDPM (#4)
Browse files- Change scheduler to DDPM (47896c107047e98f4b63dc92613e7a89904d70f7)
Co-authored-by: PseudoTerminal X <ptx0@users.noreply.huggingface.co>
- model_index.json +1 -1
model_index.json
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],
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"scheduler": [
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"diffusers",
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"
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"text_encoder": [
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"transformers",
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"scheduler": [
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"diffusers",
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"DDPMScheduler"
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],
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"text_encoder": [
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"transformers",
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