# HF Spaces import gradio as gr import asyncio import fal_client import requests from PIL import Image from io import BytesIO import time import base64 import json # Local Dev import os from dotenv import load_dotenv load_dotenv() FAL_KEY = os.getenv("FAL_KEY") with open("examples/examples.json") as f: examples = json.load(f) # IC Light, Replace Background async def submit_ic_light_bria(image_data, positive_prompt, negative_prompt, lightsource_start_color, lightsource_end_color): if not lightsource_start_color.startswith("#"): lightsource_start_color = f"#{lightsource_start_color}" if not lightsource_end_color.startswith("#"): lightsource_end_color = f"#{lightsource_end_color}" retries = 3 for attempt in range(retries): try: handler = await fal_client.submit_async( "comfy/martintmv-git/ic-light-bria", arguments={ "loadimage_1": image_data, "Positive Prompt": positive_prompt, "Negative Prompt": negative_prompt, "lightsource_start_color": lightsource_start_color, "lightsource_end_color": lightsource_end_color }, credentials={"fal_key": FAL_KEY} ) log_index = 0 output_logs = [] async for event in handler.iter_events(with_logs=True): if isinstance(event, fal_client.InProgress): if event.logs: new_logs = event.logs[log_index:] for log in new_logs: output_logs.append(log["message"]) log_index = len(event.logs) result = await handler.get() output_logs.append("Processing completed") # Debug log print("API Result:", result) # Extract the image URL image_url = result["outputs"]["9"]["images"][0]["url"] response = requests.get(image_url) image = Image.open(BytesIO(response.content)) return output_logs, image except Exception as e: print(f"Attempt {attempt + 1} failed: {e}") if attempt < retries - 1: time.sleep(2) # HTTP req retry mechanism else: return [f"Error: {str(e)}"], None # SDXL, Depth Anything, Replace Background async def submit_sdxl_rembg(image_data, positive_prompt, negative_prompt): retries = 3 for attempt in range(retries): try: handler = await fal_client.submit_async( "comfy/martintmv-git/sdxl-depthanything-rembg", arguments={ "loadimage_1": image_data, "Positive prompt": positive_prompt, "Negative prompt": negative_prompt }, credentials={"fal_key": FAL_KEY} ) log_index = 0 output_logs = [] async for event in handler.iter_events(with_logs=True): if isinstance(event, fal_client.InProgress): if event.logs: new_logs = event.logs[log_index:] for log in new_logs: output_logs.append(log["message"]) log_index = len(event.logs) result = await handler.get() output_logs.append("Processing completed") # Debug log print("API Result:", result) # Extract the image URL image_url = result["outputs"]["9"]["images"][0]["url"] response = requests.get(image_url) image = Image.open(BytesIO(response.content)) return output_logs, image except Exception as e: print(f"Attempt {attempt + 1} failed: {e}") if attempt < retries - 1: time.sleep(2) # HTTP req retry mechanism else: return [f"Error: {str(e)}"], None # SV3D, AnimateDiff async def submit_sv3d(image_data, fps, loop_frames_count, gif_loop): retries = 3 for attempt in range(retries): try: handler = await fal_client.submit_async( "comfy/martintmv-git/sv3d", arguments={ "loadimage_1": image_data, "FPS (bigger number = more speed)": fps, "Loop Frames Count": loop_frames_count, "GIF Loop": gif_loop }, credentials={"fal_key": FAL_KEY} ) log_index = 0 output_logs = [] async for event in handler.iter_events(with_logs=True): if isinstance(event, fal_client.InProgress): if event.logs: new_logs = event.logs[log_index:] for log in new_logs: output_logs.append(log["message"]) log_index = len(event.logs) result = await handler.get() output_logs.append("Processing completed") print("API Result:", result) gif_url = result["outputs"]["15"]["gifs"][0]["url"] return output_logs, gif_url except Exception as e: print(f"Attempt {attempt + 1} failed: {e}") if attempt < retries - 1: time.sleep(2) else: return [f"Error: {str(e)}"], None def convert_image_to_base64(image): buffered = BytesIO() image.save(buffered, format="PNG") return "data:image/png;base64," + base64.b64encode(buffered.getvalue()).decode() def submit_sync_ic_light_bria(image_upload, positive_prompt, negative_prompt, lightsource_start_color, lightsource_end_color): image_data = convert_image_to_base64(Image.open(image_upload)) return asyncio.run(submit_ic_light_bria(image_data, positive_prompt, negative_prompt, lightsource_start_color, lightsource_end_color)) def submit_sync_sdxl_rembg(image_upload, positive_prompt, negative_prompt): image_data = convert_image_to_base64(Image.open(image_upload)) return asyncio.run(submit_sdxl_rembg(image_data, positive_prompt, negative_prompt)) def submit_sync_sv3d(image_upload, fps, loop_frames_count, gif_loop): image_data = convert_image_to_base64(Image.open(image_upload)) return asyncio.run(submit_sv3d(image_data, fps, loop_frames_count, gif_loop)) def run_gradio_app(): with gr.Blocks() as demo: gr.Markdown("# Comfy Anything ๐Ÿˆ") gr.Markdown("### Community ComfyUI workflows running on [fal.ai](https://fal.ai)") gr.Markdown("#### Comfy Anything on [GitHub](https://github.com/martintomov/comfy-anything)") gr.Markdown("#### Support the project:") gr.Markdown("๐Ÿงก Bitcoin address - bc1qs3q0rjpr9fvn9knjy5aktfr8w5duvvjpezkgt9") gr.Markdown("๐Ÿš€ Want to run your own workflow? Import it into [fal.ai](https://fal.ai)'s ComfyUI and get a Python API endpoint.") # API Key input section with gr.Row(): api_key_input = gr.Textbox(label="Enter your fal.ai API Key", type="password") api_key_submit = gr.Button("Submit API Key") # Main app content (initially hidden) with gr.Row(visible=False) as main_content: with gr.Column(scale=1): workflow = gr.Dropdown(label="Select Workflow", choices=["IC Light, Replace Background", "SDXL, Depth Anything, Replace Background", "SV3D"], value="IC Light, Replace Background") image_upload = gr.Image(label="Upload Image", type="filepath") positive_prompt = gr.Textbox(label="Positive Prompt", visible=True) negative_prompt = gr.Textbox(label="Negative Prompt", value="Watermark", visible=True) lightsource_start_color = gr.ColorPicker(label="Start Color", value="#FFFFFF", visible=True) lightsource_end_color = gr.ColorPicker(label="End Color", value="#000000", visible=True) fps = gr.Slider(label="FPS (bigger number = more speed)", minimum=1, maximum=60, step=1, value=8, visible=False) loop_frames_count = gr.Slider(label="Loop Frames Count", minimum=1, maximum=100, step=1, value=30, visible=False) gif_loop = gr.Checkbox(label="GIF Loop", value=True, visible=False) submit_btn = gr.Button("Submit") with gr.Column(scale=2): output_logs = gr.Textbox(label="Logs") output_result = gr.Image(label="Result") def validate_api_key(api_key): global FAL_KEY FAL_KEY = api_key return gr.Row(visible=True) api_key_submit.click( fn=validate_api_key, inputs=api_key_input, outputs=main_content ) def update_ui(workflow): if workflow == "IC Light, Replace Background": return [gr.update(visible=True), gr.update(visible=True), gr.update(visible=True), gr.update(visible=True), gr.update(visible=False), gr.update(visible=False), gr.update(visible=False)] elif workflow == "SDXL, Depth Anything, Replace Background": return [gr.update(visible=True), gr.update(visible=True), gr.update(visible=False), gr.update(visible=False), gr.update(visible=False), gr.update(visible=False), gr.update(visible=False)] elif workflow == "SV3D": return [gr.update(visible=False), gr.update(visible=False), gr.update(visible=False), gr.update(visible=False), gr.update(visible=True), gr.update(visible=True), gr.update(visible=True)] workflow.change(fn=update_ui, inputs=workflow, outputs=[positive_prompt, negative_prompt, lightsource_start_color, lightsource_end_color, fps, loop_frames_count, gif_loop]) def on_submit(image_upload, positive_prompt, negative_prompt, lightsource_start_color, lightsource_end_color, fps, loop_frames_count, gif_loop, workflow): if workflow == "IC Light, Replace Background": logs, image = submit_sync_ic_light_bria(image_upload, positive_prompt, negative_prompt, lightsource_start_color, lightsource_end_color) return logs, image elif workflow == "SDXL, Depth Anything, Replace Background": logs, image = submit_sync_sdxl_rembg(image_upload, positive_prompt, negative_prompt) return logs, image elif workflow == "SV3D": logs, gif_url = submit_sync_sv3d(image_upload, fps, loop_frames_count, gif_loop) return logs, gif_url submit_btn.click( fn=on_submit, inputs=[image_upload, positive_prompt, negative_prompt, lightsource_start_color, lightsource_end_color, fps, loop_frames_count, gif_loop, workflow], outputs=[output_logs, output_result] ) gr.Examples( examples=[ [example['input_image'], example['positive_prompt'], example['negative_prompt'], example.get('lightsource_start_color', "#FFFFFF"), example.get('lightsource_end_color', "#000000"), example.get('fps', 8), example.get('loop_frames_count', 30), example.get('gif_loop', True), example['workflow']] for example in examples ], inputs=[image_upload, positive_prompt, negative_prompt, lightsource_start_color, lightsource_end_color, fps, loop_frames_count, gif_loop, workflow], outputs=[output_logs, output_result], fn=on_submit, cache_examples=True ) demo.launch() if __name__ == "__main__": run_gradio_app()