Text-to-Image
Diffusers
StableDiffusionXLPipeline
stablediffusionapi.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/xsdmodelx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/xsdmodelx 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/xsdmodelx", 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 unet/diffusion_pytorch_model.bin from stablediffusionapi/xsdmodelx: direct link, hf CLI and curl.
- Browser
- Download file 5.14 GB
-
https://huggingface.co/stablediffusionapi/xsdmodelx/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://stablediffusionapi/xsdmodelx/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/stablediffusionapi/xsdmodelx/resolve/main/unet/diffusion_pytorch_model.bin
5.14 GB
- Xet hash:
- 0946719c265abb2f0fe76a8b1274eca1990e96c03f3cb3d6ad1e1895e040f7a0
- Size of remote file:
- 5.14 GB
- SHA256:
- 9dff90af2e350546b038caddad8cdc0b983fe411ec582d576609ac6b90065bcc
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