Text-to-Image
Diffusers
Safetensors
English
StableDiffusionXLPipeline
stable diffusion
sdxl
stable diffusion xl 1
anime mix
Instructions to use EnD-Diffusers/VirtualDiffusion_SDXL_Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/VirtualDiffusion_SDXL_Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/VirtualDiffusion_SDXL_Diffusers", 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:
- 81f73be68578a20157a619ebd9055d7c9bc56095a563fddb9d4310134ad070db
- Size of remote file:
- 246 MB
- SHA256:
- 9e6444160936009771f75b42d979f7f817d63d362052cebc60deefc9af36286d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.