Instructions to use mimmodong/stable-diffusion-business with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mimmodong/stable-diffusion-business with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mimmodong/stable-diffusion-business", 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 mimmodong/stable-diffusion-business: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/mimmodong/stable-diffusion-business/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://mimmodong/stable-diffusion-business/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/mimmodong/stable-diffusion-business/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- b3bec0d20a6b19e66b6718557c08c1df8e57b960636e9036b58bbaebcbd60635
- Size of remote file:
- 492 MB
- SHA256:
- aad0e7cec126b7ee2a36e52fef25ffc4a8c41ff0b2c7a1cd07f5e693680edab5
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