Instructions to use cmncomp/st_diffu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cmncomp/st_diffu with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cmncomp/st_diffu", 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 vae/diffusion_pytorch_model.safetensors from cmncomp/st_diffu: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/cmncomp/st_diffu/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://cmncomp/st_diffu/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/cmncomp/st_diffu/resolve/main/vae/diffusion_pytorch_model.safetensors
167 MB
- Xet hash:
- f4f13b5fd1bbf50b80c9c983903023b5d5c6f6f083805afb5ab7f1b06d1bbde3
- Size of remote file:
- 167 MB
- SHA256:
- 915b909d0eeef5985462226b2c9950ca9da42b5a6ec8c296c2e73f6419ae465c
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