Text-to-Image
Diffusers
Safetensors
Japanese
JapaneseStableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use rinna/japanese-stable-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rinna/japanese-stable-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rinna/japanese-stable-diffusion", 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
model yaml file for the converted ckpt file
#7
by MioZhu - opened
Hi there,
Thanks so much for the effort!
I converted the model to the "ckpt" file to be tested with a Gradio based framework; however, I am not sure about the exact configuration.
There was a shape mismatch error while loading the model. If you can kindly share the "yaml" file that comes with the model, that would be much appreciated.
Thanks very much and have a good day!
Mio