182 lines
6.3 KiB
Markdown
182 lines
6.3 KiB
Markdown
## ComfyUI-to-Python-Extension
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The `ComfyUI-to-Python-Extension` is a powerful tool that translates [ComfyUI](https://github.com/comfyanonymous/ComfyUI) workflows into executable Python code. Designed to bridge the gap between ComfyUI's visual interface and Python's programming environment, this script facilitates the seamless transition from design to code execution. Whether you're a data scientist, a software developer, or an AI enthusiast, this tool streamlines the process of implementing ComfyUI workflows in Python.
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**Convert this:**
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**To this:**
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```
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import random
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import torch
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import sys
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sys.path.append("../")
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from nodes import (
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VAEDecode,
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KSamplerAdvanced,
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EmptyLatentImage,
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SaveImage,
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CheckpointLoaderSimple,
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CLIPTextEncode,
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)
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def main():
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with torch.inference_mode():
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checkpointloadersimple = CheckpointLoaderSimple()
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checkpointloadersimple_4 = checkpointloadersimple.load_checkpoint(
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ckpt_name="sd_xl_base_1.0.safetensors"
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)
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emptylatentimage = EmptyLatentImage()
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emptylatentimage_5 = emptylatentimage.generate(
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width=1024, height=1024, batch_size=1
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)
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cliptextencode = CLIPTextEncode()
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cliptextencode_6 = cliptextencode.encode(
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text="evening sunset scenery blue sky nature, glass bottle with a galaxy in it",
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clip=checkpointloadersimple_4[1],
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)
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cliptextencode_7 = cliptextencode.encode(
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text="text, watermark", clip=checkpointloadersimple_4[1]
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)
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checkpointloadersimple_12 = checkpointloadersimple.load_checkpoint(
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ckpt_name="sd_xl_refiner_1.0.safetensors"
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)
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cliptextencode_15 = cliptextencode.encode(
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text="evening sunset scenery blue sky nature, glass bottle with a galaxy in it",
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clip=checkpointloadersimple_12[1],
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)
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cliptextencode_16 = cliptextencode.encode(
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text="text, watermark", clip=checkpointloadersimple_12[1]
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)
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ksampleradvanced = KSamplerAdvanced()
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vaedecode = VAEDecode()
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saveimage = SaveImage()
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for q in range(10):
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ksampleradvanced_10 = ksampleradvanced.sample(
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add_noise="enable",
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noise_seed=random.randint(1, 2**64),
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steps=25,
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cfg=8,
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sampler_name="euler",
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scheduler="normal",
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start_at_step=0,
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end_at_step=20,
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return_with_leftover_noise="enable",
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model=checkpointloadersimple_4[0],
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positive=cliptextencode_6[0],
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negative=cliptextencode_7[0],
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latent_image=emptylatentimage_5[0],
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)
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ksampleradvanced_11 = ksampleradvanced.sample(
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add_noise="disable",
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noise_seed=random.randint(1, 2**64),
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steps=25,
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cfg=8,
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sampler_name="euler",
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scheduler="normal",
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start_at_step=20,
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end_at_step=10000,
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return_with_leftover_noise="disable",
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model=checkpointloadersimple_12[0],
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positive=cliptextencode_15[0],
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negative=cliptextencode_16[0],
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latent_image=ksampleradvanced_10[0],
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)
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vaedecode_17 = vaedecode.decode(
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samples=ksampleradvanced_11[0], vae=checkpointloadersimple_12[2]
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)
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saveimage_19 = saveimage.save_images(
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filename_prefix="ComfyUI", images=vaedecode_17[0]
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)
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if __name__ == "__main__":
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main()
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```
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## Potential Use Cases
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- Streamlining the process for creating a lean app or pipeline deployment that uses a ComfyUI workflow
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- Creating programmatic experiments for various prompt/parameter values
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- Creating large queues for image generation (For example, you could adjust the script to generate 1000 images without clicking ctrl+enter 1000 times)
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- Easily expanding or iterating on your architecture in Python once a foundational workflow is in place in the GUI
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## V1.0.0 Release Notes
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- **Use all the custom nodes!**
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- Custom nodes are now supported. If you run into any issues with code execution, first ensure that the each node works as expected in the GUI. If it works in the GUI, but not in the generated script, please submit an issue.
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## Usage
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1. Navigate to your `ComfyUI` directory
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2. Clone this repo
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```bash
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git clone https://github.com/pydn/ComfyUI-to-Python-Extension.git
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```
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After cloning the repo, your `ComfyUI` directory should look like this:
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```
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/comfy
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/comfy_extras
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/ComfyUI-to-Python-Extension
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/custom_nodes
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/input
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/models
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/output
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/script_examples
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/web
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.gitignore
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LICENSE
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README.md
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comfyui_screenshot.png
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cuda_mollac.py
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execution.py
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extra_model_paths.yaml.example
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folder_paths.py
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latent_preview.py
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main.py
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nodes.py
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requirements.txt
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server.py
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```
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3. Navigate to the `ComfyUI-to-Python-Extension` folder and install requirements
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```bash
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pip install -r requirements.txt
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```
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4. Launch ComfyUI, click the gear icon over `Queue Prompt`, then check `Enable Dev mode Options`. **THE SCRIPT WILL NOT WORK IF YOU DO NOT ENABLE THIS OPTION!**
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5. Load up your favorite workflows, then click the newly enabled `Save (API Format)` button under Queue Prompt
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6. Move the downloaded .json workflow file to your `ComfyUI/ComfyUI-to-Python-Extension` folder
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7. If needed, update the `input_file` and `output_file` variables at the bottom of `comfyui_to_python.py` to match the name of your .json workflow file and desired .py file name. By default, the script will look for a file called `workflow_api.json`. You can also update the `queue_size` variable to your desired number of images that you want to generate in a single script execution. By default, the scripts will generate 10 images.
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8. Run the script:
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```bash
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python comfyui_to_python.py
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```
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9. After running `comfyui_to_python.py`, a new .py file will be created in the current working directory. If you made no changes, look for `workflow_api.py`.
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10. Now you can execute the newly created .py file to generate images without launching a server.
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