Text-to-Image
Diffusers
Safetensors
English
StableDiffusionXLPipeline
stable diffusion xl
sdxl
earthndusk
stable diffusion
Instructions to use EnD-Diffusers/VirtualDiffusion_SDXL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/VirtualDiffusion_SDXL 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", 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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- e4844c455f84aa3b94aa7a6748480857eb662a4ca4918b42610a1c573c50e8ab
- Size of remote file:
- 1.39 GB
- SHA256:
- 2019a24df7bb8ce646297d15be2963d10bfc695b50ca2aa071369233ce11db4c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.