metadata
pipeline_tag: text-to-image
Lumina-Image-2.0 is a 2 billion parameter flow-based diffusion transformer capable of generating images from text descriptions.
Usage
import torch
from diffusers import Lumina2Text2ImgPipeline
pipe = Lumina2Text2ImgPipeline.from_pretrained("Alpha-VLLM/Lumina-Image-2.0", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power
prompt = "A dog holding a sign that says hello world"
image = pipe(
prompt,
height=1024,
width=1024,
guidance_scale=4.0,
num_inference_steps=50,
cfg_trunc_ratio=0.25,
cfg_normalization=True,
generator=torch.Generator("cpu").manual_seed(0)
).images[0]
image.save("lumina_demo.png")