Instructions to use Mitsua/mitsua-diffusion-one with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Mitsua/mitsua-diffusion-one 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-one", 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
where did you get the text data for each of the images for training the mitsua diffusion model?
#7
by njasa - opened
where did you get the text data for each of the images for training the mitsua diffusion model?
"I trained for years to label images."
Sally
"My parents went into debt to allow me to pursue my dreams of labeling images"Kriss
"lead paint is good for bad breath"Gizmo
"I aspire to work as an amazon-turk"User2575
All quotes said by real humans.
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