Fooocus 2.5.0: Enhance #3281
Replies: 13 comments 20 replies
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Appreciate the updates and your hard work on maintaining Fooocus! Enhance works really well. Can you verify that for Pony models you still have to prompt the score? E.g score_9, score_8_up, score_7_up, score_6_up. From my tests so far it looks like you still have to. Just want to verify. |
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The Pony preset loads the Pony style. The Pony style adds "score_9, score_8_up, score_7_up, " to the positive prompt and "score_6, score_5, score_4" to the negative prompt. Like all other styles, you do not see these additional words on the Fooocus Settings screen. However, the "Full raw prompt" entries in the log shows that they have been added. |
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aaaahhhh! Should've looked at the log! hahaha! Appreciate the confirmation |
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May God bless you in his holy glory, thank you for your updates to my favorite tool. |
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Can i use fooocus 2.5.0 enhance in google colab, ? if yes, then how. |
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@Vsatyam013 You can find the link to Colab in the readme and the docs linked in Fooocus when clicking the enhance checkbox. |
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This is great! Thank you! I played around and it's very cool. One thing I am wondering - if someone is wearing a t-shirt, how can I say make them wear a suit and tie? I tried a couple things but it seems confined to the bounds of the original clothing. Is there a way to segment this so that it uses more area beyond the bounds of the clothing? I tried "Below the neck and body" "Body' etc. |
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You can use the dilate mask option to expand the segmented mask in all directions, but it's currently not possible to just automatically generate a maks by prompt without any base inage and you're better off using normal inpainting for that. |
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Hi, many thanks for the new release and the hard work. I am currently experimenting Enhance on an upload image (in the related section), it works very well with the face but fails while trying to enhance the body, or the torso, I mean it inpaint/enhance also the face when I don't request it explicitly in the enhance prompt. Is there a way to avoid this behavior? Am i doing any wrong steps? Thanks for your feedback |
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Additional note: It seems working with "torso" as enhance prompt, fails with body/breasts for the body upper part |
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@mzisa try to experiment with different keywords as well as check if the clothing detection model (upper body) works better in this case. |
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Thank you so much for the work. I see 'translate prompt' option as well but didn't find after git pull. was that discarded? |
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@Yogesh-DevHub translate prompt feature is available in my fork and uses google translator, which many of Fooocus' users can't use due to not having access to it (Chinese firewall, blocked by network, offline usage, etc.) => not in upstream, only in my fork. |
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Thank you for your hard work! Great product! |
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@linplug the generation of images using a mask hasn't changed kn 2.5.0, but new methods of creating masks have been added. Also try to experiment with different inpaint modes. |
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Bro, thanks for the quick reply! You're the best! I'll keep trying and figuring it out! =)
Bro, thank you again! Hugged you tight! |
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@linplug You're better off using Photoshop or any image software for this purpose, not GenAI, as GenAI tools such as Fooocus do not only change colors in an area. Color corrections without changing the image content are not easily possible in Fooocus or SDXL only. With very low denoising strength you'll not get any effect, with large denoising strength you'll basically get new faces, so you'd have to find the sweet spot. There are some forks having Photopea included, which can provide this functionality on the same website (currently don't know the fork anymore, but saw some recently with less than 5 stars). |
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I also encountered this bug. Occasionally, there will be an obvious square redraw area, but the mask is the face itself, not a square mask. In theory, the redraw enhancement should not have a square redraw area with obvious square boundaries. |
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Thank you it does work well. I observe a certain behaviour, when Inpainting then enhancing with Upscale or Variant, it seems that the same seed is used for all the enhance Upscaling/Variant. Meaning that when generating 2 inpaints, the 2 Upscale/Variant have the same features out of the masked area (which undergone heavy changes). I'd expected the unmasked area to get a differnt variant from the upscale factor, but they get the very same result. Is this expected? Inpaint + Upscale Mask area Inpaint + Upscale unMasked area |
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I believe it is beacause the Mask is also applied to the enhancement. When using Vary Strong you can see that the outside area does not vary at all. Any way to allow enhance to apply on the whole image instead of the mask only ? |
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This is amazing. Just finished a course that pointed me towards Fooocus. Keep up the great work! |
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I'm new here and I'm using fooocus via pinokio. How to run mashb1t's fork with pinokio? |
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Я тут новачок і використовую fooocus підкажіть як використовувіти api |
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я пробував по прикладу не розумію |
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юзаю local URL |
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hi i want to ask
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i have problem in my code but i solv it but stel the models don't show in fooocus |
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@alwadeai1 ensure to use file extensions and reload Fooocus using the "reload all" button after download. |
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please could you explain more |
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and i sew you send to someone link video how run foooucs in colab and run models and loras #2801 (comment) |
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are you mean "reload page " button |
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and how can i refresh with this button |
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Fooocus 2.5.0: Enhance
This release includes a feature requested multiple times by the community (e.g. in #3113, #3089, #3039, and a few more, also see #3122). Implementation by @mashb1t in v2.5.0 (fork) / mashb1t#42 and now available in main.
What does this feature do?
Enhance allows you to automatically upscale and/or improve parts of the picture based on either a prompt or an input image.
It is comparable to ADetailer (repository), but offers better and more flexible object detection and replacement with detection and replacement prompts instead of static detection models, each having ~140MB.
How do i use it?
Disclaimer
It is highly recommended to use performance
SpeedorQuality(no performance which loads a LoRA) as any inpaint engine uses a LoRA, which may not produce the best results when combined with other performance LoRAs.Using inpaint mode
Improve Detail (face, hand, eyes, etc.)does not set an inpaint engine, making it compatible with all performances. The documentation of inpaint modes can be found here: #414All of this is also the case for normal inpainting without enhancements.
ControlNets (
ImagePrompt,PyraCanny,CPDS,FaceSwap) are currently not supported for enhance steps but can be used for image generation used as basis for enhance.With image generation
2.1. (optional) Enable and define order upscaling or variation (default disabled)
2.2. Enable and configure any amount of other improvement steps.
2.3. input detection prompt (what you want to detect in the image)
2.4. input positive / negative prompt (what you want to replace the detected masks with, defaults to your normal prompts if not set)
Based on an existing image
Simply open Image Input and upload an image to the Enhance tab. Prompt processing will be skipped and only enhancement steps are processed. Follow steps 2+ above.
You may set
--enable-auto-describe-imageto automatically generate the prompt after image upload.Examples
UI
#1Yellow Sundress#2Hands replacementUpscaling or Variation
Before First Enhancement
After Last Enhancement
Models
By default it uses the SAM (website, repository) masking model, backed by GroundingDINO (paper, diffusers docs), but offers support for all additional models currently supported by RemBG (repository). GroundingDINO + SAM do not use RemBG as handler, but have natively been implemented into focus for even better results and increased level control.
Currently supported models:
Tech Debt / Code Improvements
While implementing the enhance feature, multiple methods have been introduced to make code reusable and allow for iterations.
The whole async_worker.py has been restructured and is now much more clear to read and easier to use.
Debugging
Please find debugging options in Developer Debug Mode > Inpaint:
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