import argparse import os from importlib.util import find_spec # Improved GPU handling and progress bars os.environ["ZEROGPU_V2"] = "1" # Use Rust-based downloader if find_spec("hf_transfer"): os.environ["HF_HUB_ENABLE_HF_TRANSFER"] = "1" import gradio as gr from huggingface_hub._snapshot_download import snapshot_download from lib import ( Config, generate, read_file, read_json, ) # Update refresh button hover text seed_js = """ (seed) => { const button = document.getElementById("refresh"); button.style.setProperty("--seed", `"${seed}"`); return seed; } """ # The CSS `content` attribute expects a string so we need to wrap the number in quotes refresh_seed_js = """ () => { const n = Math.floor(Math.random() * Number.MAX_SAFE_INTEGER); const button = document.getElementById("refresh"); button.style.setProperty("--seed", `"${n}"`); return n; } """ # Update width and height on aspect ratio change aspect_ratio_js = """ (ar, w, h) => { if (!ar) return [w, h]; const [width, height] = ar.split(","); return [parseInt(width), parseInt(height)]; } """ # Show "Custom" aspect ratio when manually changing width or height, or one of the predefined ones custom_aspect_ratio_js = """ (w, h) => { if (w === 768 && h === 1344) return "768,1344"; if (w === 896 && h === 1152) return "896,1152"; if (w === 1024 && h === 1024) return "1024,1024"; if (w === 1152 && h === 896) return "1152,896"; if (w === 1344 && h === 768) return "1344,768"; return null; } """ # Inject prompts into random function random_prompt_js = f""" (prompt) => {{ const prompts = {read_json("data/prompts.json")}; const filtered = prompts.filter(p => p !== prompt); return filtered[Math.floor(Math.random() * filtered.length)]; }} """ with gr.Blocks( head=read_file("./partials/head.html"), css="./app.css", js="./app.js", theme=gr.themes.Default( # colors neutral_hue=gr.themes.colors.gray, primary_hue=gr.themes.colors.orange, secondary_hue=gr.themes.colors.blue, # sizing text_size=gr.themes.sizes.text_md, radius_size=gr.themes.sizes.radius_sm, spacing_size=gr.themes.sizes.spacing_md, # fonts font=[gr.themes.GoogleFont("Inter"), "sans-serif"], font_mono=[gr.themes.GoogleFont("Ubuntu Mono"), "monospace"], ).set( layout_gap="8px", block_shadow="0 0 #0000", block_shadow_dark="0 0 #0000", block_background_fill=gr.themes.colors.gray.c50, block_background_fill_dark=gr.themes.colors.gray.c900, ), ) as demo: gr.HTML(read_file("./partials/intro.html")) with gr.Tabs(): with gr.TabItem("🏠 Home"): with gr.Column(): output_images = gr.Gallery( elem_classes=["gallery"], show_share_button=False, object_fit="cover", interactive=False, show_label=False, label="Output", format="png", columns=2, ) prompt = gr.Textbox( placeholder="What do you want to see?", autoscroll=False, show_label=False, label="Prompt", max_lines=3, lines=3, ) with gr.Row(): generate_btn = gr.Button("Generate", variant="primary") random_btn = gr.Button( elem_classes=["icon-button", "popover"], variant="secondary", elem_id="random", min_width=0, value="🎲", ) refresh_btn = gr.Button( elem_classes=["icon-button", "popover"], variant="secondary", elem_id="refresh", min_width=0, value="🔄", ) clear_btn = gr.ClearButton( elem_classes=["icon-button", "popover"], components=[output_images], variant="secondary", elem_id="clear", min_width=0, value="🗑ī¸", ) with gr.TabItem("⚙ī¸ Settings", elem_id="settings"): # Prompt settings gr.HTML("

Prompt

") with gr.Row(): negative_prompt = gr.Textbox( value="nsfw", label="Negative Prompt", lines=1, ) # Model settings gr.HTML("

Model

") with gr.Row(): model = gr.Dropdown( choices=Config.MODELS, value=Config.MODEL, filterable=False, label="Checkpoint", min_width=240, ) scheduler = gr.Dropdown( choices=Config.SCHEDULERS.keys(), value=Config.SCHEDULER, elem_id="scheduler", label="Scheduler", filterable=False, ) # Generation settings gr.HTML("

Generation

") with gr.Row(): guidance_scale = gr.Slider( value=Config.GUIDANCE_SCALE, label="Guidance Scale", minimum=1.0, maximum=15.0, step=0.1, ) inference_steps = gr.Slider( value=Config.INFERENCE_STEPS, label="Inference Steps", minimum=1, maximum=50, step=1, ) deepcache_interval = gr.Slider( value=Config.DEEPCACHE_INTERVAL, label="DeepCache", minimum=1, maximum=4, step=1, ) with gr.Row(): width = gr.Slider( value=Config.WIDTH, label="Width", minimum=512, maximum=1536, step=64, ) height = gr.Slider( value=Config.HEIGHT, label="Height", minimum=512, maximum=1536, step=64, ) aspect_ratio = gr.Dropdown( value=f"{Config.WIDTH},{Config.HEIGHT}", label="Aspect Ratio", filterable=False, choices=[ ("Custom", None), ("4:7 (768x1344)", "768,1344"), ("7:9 (896x1152)", "896,1152"), ("1:1 (1024x1024)", "1024,1024"), ("9:7 (1152x896)", "1152,896"), ("7:4 (1344x768)", "1344,768"), ], ) with gr.Row(): num_images = gr.Dropdown( choices=list(range(1, 5)), value=Config.NUM_IMAGES, filterable=False, label="Images", ) scale = gr.Dropdown( choices=[(f"{s}x", s) for s in Config.SCALES], filterable=False, value=Config.SCALE, label="Scale", ) seed = gr.Number( minimum=-1, maximum=(2**64) - 1, label="Seed", value=-1, ) with gr.Row(): use_karras = gr.Checkbox( elem_classes=["checkbox"], label="Karras Īƒ", value=True, ) use_refiner = gr.Checkbox( elem_classes=["checkbox"], label="Use refiner", value=False, ) with gr.TabItem("ℹī¸ Info"): gr.Markdown(read_file("DOCS.md")) # Random prompt on click random_btn.click(None, inputs=[prompt], outputs=[prompt], js=random_prompt_js) # Update seed on click refresh_btn.click(None, inputs=[], outputs=[seed], js=refresh_seed_js) # Update seed button hover text seed.change(None, inputs=[seed], outputs=[], js=seed_js) # Update width and height on aspect ratio change aspect_ratio.input( None, inputs=[aspect_ratio, width, height], outputs=[width, height], js=aspect_ratio_js, ) # Show "Custom" aspect ratio when manually changing width or height gr.on( triggers=[width.input, height.input], fn=None, inputs=[width, height], outputs=[aspect_ratio], js=custom_aspect_ratio_js, ) # Generate images gr.on( triggers=[generate_btn.click, prompt.submit], fn=generate, api_name="generate", outputs=[output_images], inputs=[ prompt, negative_prompt, seed, model, scheduler, width, height, guidance_scale, inference_steps, deepcache_interval, scale, num_images, use_karras, use_refiner, ], ) if __name__ == "__main__": parser = argparse.ArgumentParser(add_help=False, allow_abbrev=False) parser.add_argument("-s", "--server", type=str, metavar="STR", default="0.0.0.0") parser.add_argument("-p", "--port", type=int, metavar="INT", default=7860) args = parser.parse_args() token = os.environ.get("HF_TOKEN", None) for repo_id, allow_patterns in Config.HF_REPOS.items(): snapshot_download( repo_id=repo_id, repo_type="model", revision="main", token=token, allow_patterns=allow_patterns, ignore_patterns=None, ) # https://www.gradio.app/docs/gradio/interface#interface-queue demo.queue(default_concurrency_limit=1).launch( server_name=args.server, server_port=args.port, )