Instructions to use suzushi/miso-diffusion-2.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use suzushi/miso-diffusion-2.1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("suzushi/miso-diffusion-2.1", 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 demo2.png from suzushi/miso-diffusion-2.1: direct link, hf CLI and curl.
- Browser
- Download file 4.56 MB
-
https://huggingface.co/suzushi/miso-diffusion-2.1/resolve/main/demo2.png
- Command line
-
hf download hf://suzushi/miso-diffusion-2.1/demo2.png
-
curl -L -o demo2.png https://huggingface.co/suzushi/miso-diffusion-2.1/resolve/main/demo2.png
4.56 MB

- Xet hash:
- 447c57c86dc9ba614745970c8befa2d6479b49b81901ca7dd564d84c478e3380
- Size of remote file:
- 4.56 MB
- SHA256:
- cf6daf7d3b17a9cc1b7b2cecf8d60645dbb5d4412d6db4c69ab56b1cc615f079
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.