Instructions to use OpenMOSS-Team/MOSS-Image-SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OpenMOSS-Team/MOSS-Image-SFT with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OpenMOSS-Team/MOSS-Image-SFT", 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
BLUR everywhere
#12
by Talanca - opened
What is the way to obtain an image without background blur?
The blur even appears on parts of the subject's own body. Could this be a mechanism from the original MOSS model—designed to emphasize text over images—that is affecting the generation process?
My library of prompts, which produces correct images in Krea2, Z-Image Turbo, Chroma, and Flux using the exact same prompts, does not exhibit this issue. I can copy&paste the same basic prompts across different models, and they don’t deliberately emphasize or blur elements in the image.