Text-to-Image
Diffusers
StableDiffusionXLPipeline
modelslab.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/realvisxl-v40-lightning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/realvisxl-v40-lightning with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/realvisxl-v40-lightning", 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
Download tokenizer/vocab.json from stablediffusionapi/realvisxl-v40-lightning: direct link, hf CLI and curl.
- Browser
- Download file 1.06 MB
-
https://huggingface.co/stablediffusionapi/realvisxl-v40-lightning/resolve/main/tokenizer/vocab.json
- Command line
-
hf download hf://stablediffusionapi/realvisxl-v40-lightning/tokenizer/vocab.json
-
curl -L -o vocab.json https://huggingface.co/stablediffusionapi/realvisxl-v40-lightning/resolve/main/tokenizer/vocab.json
1.06 MB
File too large to display, you can check the raw version instead.