Instructions to use Mitsua/mitsua-diffusion-cc0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Mitsua/mitsua-diffusion-cc0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Mitsua/mitsua-diffusion-cc0", 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
- Draw Things
- DiffusionBee
Errors and a question
In the GUI from https://github.com/AUTOMATIC1111/stable-diffusion-webui I am getting errors about "size mismatch".
I wanted to know if there is a way I could help contribute in finding public domain and cc-0 sources. What requirements are necessary? How should images be prepared? I could help manually label images with extra details as well.
Please download "v2-inference.yaml" and rename it to "mitsua-diffusion-cc0-v1-0.yaml" and place it in the same directory as ckpt file.
https://github.com/Stability-AI/stablediffusion/blob/main/configs/stable-diffusion/v2-inference.yaml
If this not works, please let me know.
And we are collecting images with fully opt-in basis for further update.
We are active on this discord. (But currently the communication is in Japanese)
https://discord.com/invite/7VTGRweTUg
Currently the focus is not collecting CC0 images, but finding creaters who wish to contribute.
But still collecting more CC0 images is demanding. If you can communicate in Japanese with translation app, please join.
It worked for me but not with that yaml but with the one named "v2-1_768-ema-pruned.yaml"