Text-to-Image
Diffusers
StableDiffusionXLPipeline
modelslab.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/galxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/galxl 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/galxl", 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 vae/diffusion_pytorch_model.bin from stablediffusionapi/galxl: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/stablediffusionapi/galxl/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://stablediffusionapi/galxl/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/stablediffusionapi/galxl/resolve/main/vae/diffusion_pytorch_model.bin
167 MB
- Xet hash:
- ae20c3e55f7e83056ed43811a805a5ef2e17c795ade815d8e9c85d0338ad87c4
- Size of remote file:
- 167 MB
- SHA256:
- 63cef7f43ef8aaf3139f60064b54e83aa521cb466354642bd778fea244ef4824
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