import gradio as gr from diffusers import StableDiffusionXLPipeline, DDIMScheduler import torch import sa_handler # init models scheduler = DDIMScheduler(beta_start=0.00085, beta_end=0.012, beta_schedule="scaled_linear", clip_sample=False, set_alpha_to_one=False) pipeline = StableDiffusionXLPipeline.from_pretrained( "stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16, variant="fp16", use_safetensors=True, scheduler=scheduler ).to("cuda") # Configure the pipeline for CPU offloading and VAE slicing#pipeline.enable_sequential_cpu_offload() pipeline.enable_model_cpu_offload() pipeline.enable_vae_slicing() # Initialize the style-aligned handler handler = sa_handler.Handler(pipeline) sa_args = sa_handler.StyleAlignedArgs(share_group_norm=False, share_layer_norm=False, share_attention=True, adain_queries=True, adain_keys=True, adain_values=False, ) handler.register(sa_args, ) # Define the function to generate style-aligned images def style_aligned_sdxl(initial_prompt1, initial_prompt2, initial_prompt3, initial_prompt4, initial_prompt5, style_prompt): try: # Combine the style prompt with each initial prompt sets_of_prompts = [ prompt + ". " + style_prompt for prompt in [initial_prompt1, initial_prompt2, initial_prompt3, initial_prompt4, initial_prompt5,]] # Generate images using the pipeline images = pipeline(sets_of_prompts,).images return images except Exception as e: raise gr.Error(f"Error in generating images: {e}") with gr.Blocks() as demo: gr.HTML('

Style-aligned SDXL

') with gr.Group(): with gr.Column(): with gr.Accordion(label='Enter upto 5 different initial prompts', open=True): with gr.Row(variant='panel'): # Textboxes for initial prompts initial_prompt1 = gr.Textbox(label='Initial prompt 1', value='', show_label=False, container=False, placeholder='a toy train') initial_prompt2 = gr.Textbox(label='Initial prompt 2', value='', show_label=False, container=False, placeholder='a toy airplane') initial_prompt3 = gr.Textbox(label='Initial prompt 3', value='', show_label=False, container=False, placeholder='a toy bicycle') initial_prompt4 = gr.Textbox(label='Initial prompt 4', value='', show_label=False, container=False, placeholder='a toy car') initial_prompt5 = gr.Textbox(label='Initial prompt 5', value='', show_label=False, container=False, placeholder='a toy boat') with gr.Row(): # Textbox for the style prompt style_prompt = gr.Textbox(label="Enter a style prompt", placeholder='macro photo, 3d game asset') # Button to generate images btn = gr.Button("Generate a set of Style-aligned SDXL images",) # Display the generated images output = gr.Gallery(label="Style-Aligned SDXL Images", elem_id="gallery",columns=5, rows=1, object_fit="contain", height="auto",) # Button click event btn.click(fn=style_aligned_sdxl, inputs=[initial_prompt1, initial_prompt2, initial_prompt3, initial_prompt4, initial_prompt5, style_prompt], outputs=output, api_name="style_aligned_sdxl") # Providing Example inputs for the demo gr.Examples(examples=[ ["a toy train", "a toy airplane", "a toy bicycle", "a toy car", "a toy boat", "macro photo. 3d game asset."], ["a toy train", "a toy airplane", "a toy bicycle", "a toy car", "a toy boat", "BW logo. high contrast."], ["a cat", "a dog", "a bear", "a man on a bicycle", "a girl working on laptop", "minimal origami."], ["a firewoman", "a Gardner", "a scientist", "a policewoman", "a saxophone player", "made of claymation, stop motion animation."], ["a firewoman", "a Gardner", "a scientist", "a policewoman", "a saxophone player", "sketch, character sheet."], ], inputs=[initial_prompt1, initial_prompt2, initial_prompt3, initial_prompt4, initial_prompt5, style_prompt], outputs=[output], fn=style_aligned_sdxl) # Launch the Gradio demo demo.launch()