| import gradio as gr | |
| from glyffuser_utils import GlyffuserPipeline | |
| pipeline = GlyffuserPipeline.from_pretrained("yuewu/glyffuser") | |
| def infer(text): | |
| generated_images = pipeline( | |
| texts, | |
| batch_size=1, # Generate one image at a time for each step | |
| # generator=torch.Generator(device='cuda').manual_seed(config.seed), # Generator can be on GPU here | |
| num_inference_steps=50 | |
| ).images | |
| return generated_images[0] | |
| demo = gr.Interface(fn=infer, inputs="text", outputs="image") | |
| demo.launch() |