import gradio as gr import spaces import torch from diffusers import AutoencoderKL, TCDScheduler from diffusers.models.model_loading_utils import load_state_dict from gradio_imageslider import ImageSlider from huggingface_hub import hf_hub_download from controlnet_union import ControlNetModel_Union from pipeline_fill_sd_xl import StableDiffusionXLFillPipeline from PIL import Image, ImageDraw import numpy as np config_file = hf_hub_download( "xinsir/controlnet-union-sdxl-1.0", filename="config_promax.json", ) config = ControlNetModel_Union.load_config(config_file) controlnet_model = ControlNetModel_Union.from_config(config) model_file = hf_hub_download( "xinsir/controlnet-union-sdxl-1.0", filename="diffusion_pytorch_model_promax.safetensors", ) sstate_dict = load_state_dict(model_file) model, _, _, _, _ = ControlNetModel_Union._load_pretrained_model( controlnet_model, sstate_dict, model_file, "xinsir/controlnet-union-sdxl-1.0" ) model.to(device="cuda", dtype=torch.float16) #---------------------- vae = AutoencoderKL.from_pretrained( "madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16 ).to("cuda") pipe = StableDiffusionXLFillPipeline.from_pretrained( "SG161222/RealVisXL_V5.0_Lightning", torch_dtype=torch.float16, vae=vae, controlnet=model, variant="fp16", ).to("cuda") pipe.scheduler = TCDScheduler.from_config(pipe.scheduler.config) def can_expand(source_width, source_height, target_width, target_height, alignment): """Checks if the image can be expanded based on the alignment.""" if alignment in ("Left", "Right") and source_width >= target_width: return False if alignment in ("Top", "Bottom") and source_height >= target_height: return False return True def prepare_image_and_mask(image, width, height, overlap_percentage, resize_option, custom_resize_percentage, alignment, overlap_left, overlap_right, overlap_top, overlap_bottom): target_size = (width, height) # Calculate the scaling factor to fit the image within the target size scale_factor = min(target_size[0] / image.width, target_size[1] / image.height) new_width = int(image.width * scale_factor) new_height = int(image.height * scale_factor) # Resize the source image to fit within target size source = image.resize((new_width, new_height), Image.LANCZOS) # Apply resize option using percentages if resize_option == "Full": resize_percentage = 100 elif resize_option == "50%": resize_percentage = 50 elif resize_option == "33%": resize_percentage = 33 elif resize_option == "25%": resize_percentage = 25 else: # Custom resize_percentage = custom_resize_percentage # Calculate new dimensions based on percentage resize_factor = resize_percentage / 100 new_width = int(source.width * resize_factor) new_height = int(source.height * resize_factor) # Ensure minimum size of 64 pixels new_width = max(new_width, 64) new_height = max(new_height, 64) # Resize the image source = source.resize((new_width, new_height), Image.LANCZOS) # Calculate the overlap in pixels based on the percentage overlap_x = int(new_width * (overlap_percentage / 100)) overlap_y = int(new_height * (overlap_percentage / 100)) # Ensure minimum overlap of 1 pixel overlap_x = max(overlap_x, 1) overlap_y = max(overlap_y, 1) # Calculate margins based on alignment if alignment == "Middle": margin_x = (target_size[0] - new_width) // 2 margin_y = (target_size[1] - new_height) // 2 elif alignment == "Left": margin_x = 0 margin_y = (target_size[1] - new_height) // 2 elif alignment == "Right": margin_x = target_size[0] - new_width margin_y = (target_size[1] - new_height) // 2 elif alignment == "Top": margin_x = (target_size[0] - new_width) // 2 margin_y = 0 elif alignment == "Bottom": margin_x = (target_size[0] - new_width) // 2 margin_y = target_size[1] - new_height # Adjust margins to eliminate gaps margin_x = max(0, min(margin_x, target_size[0] - new_width)) margin_y = max(0, min(margin_y, target_size[1] - new_height)) # Create a new background image and paste the resized source image background = Image.new('RGB', target_size, (255, 255, 255)) background.paste(source, (margin_x, margin_y)) # Create the mask mask = Image.new('L', target_size, 255) mask_draw = ImageDraw.Draw(mask) # Calculate overlap areas white_gaps_patch = 2 left_overlap = margin_x + overlap_x if overlap_left else margin_x + white_gaps_patch right_overlap = margin_x + new_width - overlap_x if overlap_right else margin_x + new_width - white_gaps_patch top_overlap = margin_y + overlap_y if overlap_top else margin_y + white_gaps_patch bottom_overlap = margin_y + new_height - overlap_y if overlap_bottom else margin_y + new_height - white_gaps_patch if alignment == "Left": left_overlap = margin_x + overlap_x if overlap_left else margin_x elif alignment == "Right": right_overlap = margin_x + new_width - overlap_x if overlap_right else margin_x + new_width elif alignment == "Top": top_overlap = margin_y + overlap_y if overlap_top else margin_y elif alignment == "Bottom": bottom_overlap = margin_y + new_height - overlap_y if overlap_bottom else margin_y + new_height # Draw the mask mask_draw.rectangle([ (left_overlap, top_overlap), (right_overlap, bottom_overlap) ], fill=0) return background, mask def preview_image_and_mask(image, width, height, overlap_percentage, resize_option, custom_resize_percentage, alignment, overlap_left, overlap_right, overlap_top, overlap_bottom): background, mask = prepare_image_and_mask(image, width, height, overlap_percentage, resize_option, custom_resize_percentage, alignment, overlap_left, overlap_right, overlap_top, overlap_bottom) # Create a preview image showing the mask preview = background.copy().convert('RGBA') # Create a semi-transparent red overlay red_overlay = Image.new('RGBA', background.size, (255, 0, 0, 64)) # Reduced alpha to 64 (25% opacity) # Convert black pixels in the mask to semi-transparent red red_mask = Image.new('RGBA', background.size, (0, 0, 0, 0)) red_mask.paste(red_overlay, (0, 0), mask) # Overlay the red mask on the background preview = Image.alpha_composite(preview, red_mask) return preview @spaces.GPU(duration=24) def infer(image, width, height, overlap_percentage, num_inference_steps, resize_option, custom_resize_percentage, prompt_input, alignment, overlap_left, overlap_right, overlap_top, overlap_bottom): background, mask = prepare_image_and_mask(image, width, height, overlap_percentage, resize_option, custom_resize_percentage, alignment, overlap_left, overlap_right, overlap_top, overlap_bottom) if not can_expand(background.width, background.height, width, height, alignment): alignment = "Middle" cnet_image = background.copy() cnet_image.paste(0, (0, 0), mask) final_prompt = f"{prompt_input} , high quality, 4k" ( prompt_embeds, negative_prompt_embeds, pooled_prompt_embeds, negative_pooled_prompt_embeds, ) = pipe.encode_prompt(final_prompt, "cuda", True) for image in pipe( prompt_embeds=prompt_embeds, negative_prompt_embeds=negative_prompt_embeds, pooled_prompt_embeds=pooled_prompt_embeds, negative_pooled_prompt_embeds=negative_pooled_prompt_embeds, image=cnet_image, num_inference_steps=num_inference_steps ): yield cnet_image, image image = image.convert("RGBA") cnet_image.paste(image, (0, 0), mask) yield background, cnet_image def clear_result(): """Clears the result ImageSlider.""" return gr.update(value=None) def preload_presets(target_ratio, ui_width, ui_height): """Updates the width and height sliders based on the selected aspect ratio.""" if target_ratio == "9:16": changed_width = 720 changed_height = 1280 return changed_width, changed_height, gr.update() elif target_ratio == "16:9": changed_width = 1280 changed_height = 720 return changed_width, changed_height, gr.update() elif target_ratio == "1:1": changed_width = 1024 changed_height = 1024 return changed_width, changed_height, gr.update() elif target_ratio == "Custom": return ui_width, ui_height, gr.update(open=True) def select_the_right_preset(user_width, user_height): if user_width == 720 and user_height == 1280: return "9:16" elif user_width == 1280 and user_height == 720: return "16:9" elif user_width == 1024 and user_height == 1024: return "1:1" else: return "Custom" def toggle_custom_resize_slider(resize_option): return gr.update(visible=(resize_option == "Custom")) def update_history(new_image, history): """Updates the history gallery with the new image.""" if history is None: history = [] history.insert(0, new_image) return history css = """ .gradio-container { width: 1200px !important; } h1 { text-align: center; } footer { visibility: hidden; } """ title = """

Diffusers Image Outpaint Lightning

""" with gr.Blocks(css=css) as demo: gr.HTML(title) with gr.Row(): with gr.Column(): input_image = gr.Image(type="pil", label="Input Image") prompt_input = gr.Textbox(label="Prompt (Optional)") run_button = gr.Button("Generate") target_ratio = gr.Radio(["9:16","16:9","1:1","Custom"], value="9:16", label="Expected Ratio") alignment_dropdown = gr.Dropdown(["Middle","Left","Right","Top","Bottom"], value="Middle", label="Alignment") with gr.Accordion("Advanced settings", open=False) as adv: width_slider = gr.Slider(720,1536,step=8, value=720, label="Target Width") height_slider = gr.Slider(720,1536,step=8, value=1280, label="Target Height") num_steps = gr.Slider(4,12,step=1, value=8, label="Steps") overlap_pct = gr.Slider(1,50,step=1, value=10, label="Mask overlap (%)") overlap_top = gr.Checkbox(label="Overlap Top", value=True) overlap_right = gr.Checkbox(label="Overlap Right", value=True) overlap_left = gr.Checkbox(label="Overlap Left", value=True) overlap_bottom= gr.Checkbox(label="Overlap Bottom", value=True) resize_opt = gr.Radio(["Full","50%","33%","25%","Custom"], value="Full", label="Resize input image") custom_resize = gr.Slider(1,100,step=1, value=50, visible=False, label="Custom resize (%)") preview_btn = gr.Button("Preview alignment and mask") gr.Examples( examples=[ ["./examples/example_1.webp",1280,720,"Middle"], ["./examples/example_2.jpg",1440,810,"Left"], ["./examples/example_3.jpg",1024,1024,"Top"], ["./examples/example_3.jpg",1024,1024,"Bottom"] ], inputs=[input_image,width_slider,height_slider,alignment_dropdown] ) with gr.Column(): result = ImageSlider(label="Comparison", interactive=False, type="pil", slider_color="pink") history_gallery = gr.Gallery(label="History", columns=6, object_fit="contain") preview_image = gr.Image(label="Preview") # Callbacks run_button.click(clear_result, None, result) run_button.click( infer, inputs=[ input_image, width_slider, height_slider, overlap_pct, num_steps, resize_opt, custom_resize, prompt_input, alignment_dropdown, overlap_left, overlap_right, overlap_top, overlap_bottom], outputs=result ).then(update_history, inputs=[result, history_gallery], outputs=history_gallery) target_ratio.change(preload_presets, [target_ratio, width_slider, height_slider], [width_slider, height_slider, adv]) width_slider.change(select_the_right_preset, [width_slider, height_slider], target_ratio) height_slider.change(select_the_right_preset, [width_slider, height_slider], target_ratio) resize_opt.change(toggle_custom_resize_slider, resize_opt, custom_resize) preview_btn.click(preview_image_and_mask, [input_image, width_slider, height_slider, overlap_pct, resize_opt, custom_resize, alignment_dropdown, overlap_left, overlap_right, overlap_top, overlap_bottom], preview_image) demo.queue(max_size=20).launch(share=False, ssr_mode=False, show_error=True)