Text-to-Image
Diffusers
StableDiffusionXLPipeline
modelslab.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/neta-art-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/neta-art-xl 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/neta-art-xl", 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/neta-art-xl: direct link, hf CLI and curl.
- Browser
- Download file 5.14 GB
-
https://huggingface.co/stablediffusionapi/neta-art-xl/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://stablediffusionapi/neta-art-xl/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/stablediffusionapi/neta-art-xl/resolve/main/unet/diffusion_pytorch_model.bin
5.14 GB
- Xet hash:
- 9b9267457693f9df23ed376842e7f6dcb594510f90ea931fc4a7f14227261b5c
- Size of remote file:
- 5.14 GB
- SHA256:
- 3832794dfe97a3b8891035714af9b848f4d92345f58ca3c1684d29fa1e781e5b
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