- ComfyUI-to-Python-Extension VS stable-diffusion-docker
- ComfyUI-to-Python-Extension VS onnx-web
- ComfyUI-to-Python-Extension VS comfyui_segment_anything
- ComfyUI-to-Python-Extension VS comfy_mtb
- ComfyUI-to-Python-Extension VS ComfyUI_fabric
- ComfyUI-to-Python-Extension VS ComfyUI-Custom-Scripts
- ComfyUI-to-Python-Extension VS save-image-extended-comfyui
- ComfyUI-to-Python-Extension VS comfyui-reactor-node
- ComfyUI-to-Python-Extension VS comfyui_telegram_bot
- ComfyUI-to-Python-Extension VS comfy-image-saver
ComfyUI-to-Python-Extension Alternatives
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stable-diffusion-docker
Run the official Stable Diffusion releases in a Docker container with txt2img, img2img, depth2img, pix2pix, upscale4x, and inpaint.
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comfyui_segment_anything
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ComfyUI_fabric
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comfy-image-saver
All the tools you need to save images with their generation metadata on ComfyUI. Compatible with Civitai & Prompthero geninfo auto-detection. Works with png, jpeg and webp.
ComfyUI-to-Python-Extension discussion
ComfyUI-to-Python-Extension reviews and mentions
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Building Comfy workflows and calling through API?
Everything is still Python under the hood so you can convert your workflows to regular Python to run. Also it’s worth editing the final output so you can pass in which ever parameters you desire: https://github.com/pydn/ComfyUI-to-Python-Extension
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ComfyUI integration with image generation pipeline
I actually released an open source extension that will convert any native comfyui workflow into executable python code that will run without needing the server. Would be a great starting point for integrating your workflow into your pipeline. You can check it out here: https://github.com/pydn/ComfyUI-to-Python-Extension
Stats
pydn/ComfyUI-to-Python-Extension is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of ComfyUI-to-Python-Extension is Python.