Comments (6)
You just need to be patient. Fooocus is a very young software and MoonRide303 is the only programmer for this fork. Am sure there are more of features MoonRide303 wants but this will take time. I want them too. If the current Fooocus is a waste of your time then don't use it... or ask for a refund. lolol
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I said using foocus and then A1111 for higher resolution is waste of time not just using foocus. Foocus is great at what it does but just pointing out that the output images can really be useful with higher resolution.
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Try this
ComfyUI : Ultimate Upscaler - Upscale any image from Stable Diffusion, MidJourney, or photo!
https://youtu.be/CxB47DMEyYQ?si=_okZHeyvKogwzGjb
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If i wanted to use comfy then i would have created a workflow with all the styles plus at the end high resolution lol
I don't like spaghetti and A1111 isn't that optimized so i am using foocus to save time. So you get the idea what i meant in my original comment.
To be clear i am not being ungrateful i am just pointing out what important thing is missing for it to be standalone solution for SDXL webui
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Foocus is targeted at simplifying the best of SDXL. Remember that. In the meantime, you can plan your workflows.
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L
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Related Issues (20)
- JugernautXL not recognized HOT 2
- I get an error when I launch the tool - 'Lora file not found!' HOT 2
- Generates without any problem first time, then runs out of ram.
- The installation of V2.0.78.5 failed many times and the following error message appeared. What is the reason? HOT 1
- weird preview generating problem here and in the main repo
- My boss, MRE version 2.1 ready? HOT 12
- load_settings, e: 'utf-8' codec can't decode byte 0xd7 in position 1206: invalid continuation byte HOT 1
- Extreme RAM usage on colab
- fooocus-MRE loads model on every startup HOT 1
- All of a sudden
- How to use SDXL CHECKPOINTS that are in subfolders?
- [FIXed] Colab Error WARNING[XFORMERS] HOT 1
- running an error message
- Error while deserializing header: HeaderTooSmall
- ERROR: Failed building wheel for pygit2sudo
- paths.json not recognized
- Colab Error – xFormers wasn't build with CUDA support
- Ordering of Models and Loras
- Running different models similar to running different styles
- complaints
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