README.md

---
pipeline_tag: text-to-image
---

![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/6358a167f56b03ec9147074d/usHv1srt57-x5pnS2G62t.jpeg)

Lumina-Image-2.0 is a 2 billion parameter flow-based diffusion transformer capable of generating images from text descriptions.


## Usage

```python
import torch
from diffusers import LuminaText2ImgPipeline

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")
```