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# 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 π")
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("𧑠Bitcoin address - bc1qs3q0rjpr9fvn9knjy5aktfr8w5duvvjpezkgt9")
gr.Markdown("π 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() |