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README.md

@@ -1,6 +1,6 @@
 ---
 title: Comfy Anything
-emoji: 💻
+emoji: 🐈
 colorFrom: indigo
 colorTo: purple
 sdk: gradio
@@ -11,3 +11,24 @@ license: apache-2.0
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+
+# Comfy Anything 🐈
+
+Community ComfyUI workflows running on [fal.ai](https://fal.ai)
+
+<img width="1012" alt="HFDEMO" src="https://i.imgur.com/7SH9vbP.jpeg">
+
+## Workflows
+Check them out here: [/workflows](https://github.com/martintmv-git/comfy-anything/tree/main/workflows)
+
+## Contributing
+
+Contributions to this repository are welcome! If you have suggestions for improvements or encounter any issues, please submit a pull request or open an issue on GitHub.
+
+## Acknowledgments
+
+Thanks to the ComfyUI, Gradio and diffusion model communities for providing the tools and support needed to make this project possible.
+
+## License
+
+This project is licensed under the Apache-2.0 License.

app.py

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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 🐈")
+        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("🧡 Bitcoin address - bc1qs3q0rjpr9fvn9knjy5aktfr8w5duvvjpezkgt9")
+        gr.Markdown("🚀 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()

requirements.txt

@@ -0,0 +1,5 @@
+gradio
+fal_client
+requests
+Pillow
+python-dotenv