Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance
Paper • 2606.19195 • Published • 118
How to use hustvl/Moebius with Diffusers:
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("hustvl/Moebius", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("hustvl/Moebius", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]《Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance》
Project Page: https://hustvl.github.io/Moebius
Paper: https://arxiv.org/abs/2606.19195
Code: https://github.com/hustvl/Moebius
weight: https://huggingface.co/hustvl/Moebius/tree/main