Text-to-Image
Diffusers
Safetensors
StableDiffusionXLPipeline
modelslab.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/realvisxl-v30 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/realvisxl-v30 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-v30", 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/realvisxl-v30: direct link, hf CLI and curl.
- Browser
- Download file 5.14 GB
-
https://huggingface.co/stablediffusionapi/realvisxl-v30/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://stablediffusionapi/realvisxl-v30/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/stablediffusionapi/realvisxl-v30/resolve/main/unet/diffusion_pytorch_model.bin
5.14 GB
- Xet hash:
- 5a859cd4972633d7eef132696c6e6d7997cdc687df87f7a86562e97353df7406
- Size of remote file:
- 5.14 GB
- SHA256:
- bb1d9c66da94943a4dcf40d1282990b851f26a2ec89c812546ced7b8e65a3304
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