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
Run on <4gb Vram
#6 opened about 2 hours ago
by
Hackerdada
The remote pipeline uses flaot64 / doubles breaks the pipeline on MPS and NPU/XPU's
1
#5 opened about 8 hours ago
by
Vargol
Official API
π 1
1
#4 opened about 10 hours ago
by
hamzah0asadullah
EXCELLENT MODEL
π€π 3
1
#3 opened about 20 hours ago
by
ryg81
SFT stripe artifact
π 3
2
#2 opened 1 day ago
by
sdfasdfasdfsdfsdf
Suggestion: make an edit model based on MOSS Image
π 7
5
#1 opened 1 day ago
by
arifqai