Text-to-Image
Diffusers
StableDiffusionPipeline
stablediffusionapi.com
stable-diffusion-api
ultra-realistic
Instructions to use Muapi/simpsons with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/simpsons with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Muapi/simpsons", 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 text_encoder/pytorch_model.bin from Muapi/simpsons: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Muapi/simpsons/resolve/ef0735514efdf0dbfbcf8b179edb93e3abdea470/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Muapi/simpsons@ef0735514efdf0dbfbcf8b179edb93e3abdea470/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Muapi/simpsons/resolve/ef0735514efdf0dbfbcf8b179edb93e3abdea470/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 86be39f99a4b19926b0a7abd51dfad55c1204a39a72e49e9abea831ef72d677b
- Size of remote file:
- 492 MB
- SHA256:
- ecb1021c32acb418349de148a6c4de736236b9410627602d82dec15e0dad624a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.