Text-to-Image
Diffusers
ONNX
Safetensors
OpenVINO
English
StableDiffusionPipeline
art
anime
stable diffusion
Instructions to use Disty0/SoteMix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Disty0/SoteMix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Disty0/SoteMix", 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_decoder/model.onnx from Disty0/SoteMix: direct link, hf CLI and curl.
- Browser
- Download file 198 MB
-
https://huggingface.co/Disty0/SoteMix/resolve/main/vae_decoder/model.onnx
- Command line
-
hf download hf://Disty0/SoteMix/vae_decoder/model.onnx
-
curl -L -o model.onnx https://huggingface.co/Disty0/SoteMix/resolve/main/vae_decoder/model.onnx
198 MB
- Xet hash:
- 8e6e8b75b6eca6a9d5993fd9f06ea81aef0d9b3d1219e6786400d606684e865e
- Size of remote file:
- 198 MB
- SHA256:
- 7ff39e0f204c3b7bbaba241dd12b7676b407e126d5f8d92988d4137a1e8e9cb0
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