Text-to-Image
Diffusers
StableDiffusionPipeline
stablediffusionapi.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/wanmeishijie with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/wanmeishijie 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/wanmeishijie", 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/wanmeishijie: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/stablediffusionapi/wanmeishijie/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://stablediffusionapi/wanmeishijie/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/stablediffusionapi/wanmeishijie/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- c3248856e91a2ada6bf7087f10dbbba95e8ef134f14b6fdd07c29fa19251938d
- Size of remote file:
- 3.44 GB
- SHA256:
- bb743779c3fa635586557b5373681e36fbef8a01c1a2abf75b3de0283f3f77d7
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