Lavida-O: Elastic Large Masked Diffusion Models for Unified Multimodal Understanding and Generation
Paper • 2509.19244 • Published • 12
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("jacklishufan/LaViDa-O-v1.0", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]This is the official checkpoint for the paper Lavida-O: Elastic Masked Diffusion Models for Unified Multimodal Understanding and Generation Code is available at https://github.com/adobe-research/LaVida-O
This repo is licensed with Adobe Research License, see License.pdf
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