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Bing-su / adetailer

Auto detecting, masking and inpainting with detection model.
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[Bug]: Using Adetailer along with ControlNet Shuffle is messing up the face. #181

Closed iamrohitanshu closed 1 year ago

iamrohitanshu commented 1 year ago

Describe the bug

When I use Adetailer or ControlNet shuffle separately, everything works just fine. But using them together is messing up the face, may be it's trying to apply the shufle controlnet to the face, idk though.

compare

As Adetailer is working on the image last, i.e. after controlnet has done it's work, I'm posting this as a bug here. There are no errors or warnings in the console. That just seems normal.

I'm using the model Rev_Animated in this particular instance, but I've checked other models and they are producing the same results as well.

adetailer_settings

ControlNet in the Adetailer settings is set to None. I even changed the weight to 0 just in case, but it's still the same.

The entire console log, including python version information, webui version, commit hash, commandline arguments and error traces.

Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug  1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
Version: v1.4.0
Commit hash: 394ffa7b0a7fff3ec484bcd084e673a8b301ccc8

Launching Web UI with arguments: --disable-nan-check --medvram --precision full --no-half --no-half-vae --xformers --autolaunch

[-] ADetailer initialized. version: 23.7.0, num models: 8
2023-07-02 13:34:50,516 - ControlNet - INFO - ControlNet v1.1.227
ControlNet preprocessor location: D:\stable-diffusion-webui\extensions\sd-webui-controlnet\annotator\downloads
2023-07-02 13:34:50,610 - ControlNet - INFO - ControlNet v1.1.227

2023-07-02 16:48:33,049 - ControlNet - INFO - Loading model: control_v11e_sd15_shuffle [526bfdae]
2023-07-02 16:48:33,482 - ControlNet - INFO - Loaded state_dict from [D:\stable-diffusion-webui\extensions\sd-webui-controlnet\models\control_v11e_sd15_shuffle.pth]
2023-07-02 16:48:33,482 - ControlNet - INFO - Loading config: D:\stable-diffusion-webui\extensions\sd-webui-controlnet\models\control_v11e_sd15_shuffle.yaml
2023-07-02 16:48:35,848 - ControlNet - INFO - ControlNet model control_v11e_sd15_shuffle [526bfdae] loaded.
2023-07-02 16:48:35,938 - ControlNet - INFO - Loading preprocessor: shuffle
2023-07-02 16:48:35,938 - ControlNet - INFO - preprocessor resolution = 512
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████| 20/20 [00:29<00:00,  1.49s/it]
Total progress: 100%|████████████████████████████████████████████████████████████████████████████████████████| 20/20 [00:27<00:00,  1.43s/it]
0: 640x640 1 face, 92.4ms
Speed: 8.1ms preprocess, 92.4ms inference, 8.1ms postprocess per image at shape (1, 3, 640, 640)
        Tile 1/1
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████| 9/9 [00:05<00:00,  1.57it/s]
Total progress: 100%|████████████████████████████████████████████████████████████████████████████████████████| 20/20 [00:40<00:00,  2.02s/it]
Total progress: 100%|████████████████████████████████████████████████████████████████████████████████████████| 20/20 [00:40<00:00,  1.43s/it]

List of installed extensions

No response

pwcarney commented 1 year ago

I'm seeing a similar thing off any Controlnet, not just shuffle.

AnteMaxx commented 1 year ago

I also have issues with Adetailer+ControlNET. In my case when I try to use both of them I get the following error: ADetailer: 'NansException' occurred with 1st settings. A tensor with all NaNs was produced in Unet. This could be either because there's not enough precision to represent the picture, or because your video card does not support half type. Try setting the "Upcast cross attention layer to float32" option in Settings > Stable Diffusion or using the --no-half commandline argument to fix this. Use --disable-nan-check commandline argument to disable this check. I am using ---xformers --no-half-vae, so I shouldn't be getting NansExceptions. I didn't use to have any issues, but after the new update a few days ago, this started happening. Haven't found any way to solve this on my own.

Bing-su commented 1 year ago

Here is my result with Controlnet shuffle and ADetailer:

Cap 2023-07-02 23-45-06-705

python launch.py --autolaunch --xformers --disable-nan-check
Python 3.10.12 | packaged by conda-forge | (main, Jun 23 2023, 22:34:57) [MSC v.1936 64 bit (AMD64)]
Version: v1.4.0-101-gb42c0ef6
Commit hash: b42c0ef6c31e38db52aecdb38908238dc81c5f01
Installing requirements

Launching Web UI with arguments: --autolaunch --xformers --disable-nan-check
[-] ADetailer initialized. version: 23.7.0, num models: 8
2023-07-02 23:41:54,179 - ControlNet - INFO - ControlNet v1.1.227
ControlNet preprocessor location: D:\stable-diffusion-webui\extensions\sd-webui-controlnet\annotator\downloads
2023-07-02 23:41:54,379 - ControlNet - INFO - ControlNet v1.1.227
Loading weights [5998292c04] from D:\stable-diffusion-webui\models\Stable-diffusion\Counterfeit-V3.0_fp16-no-ema.safetensors
Creating model from config: D:\stable-diffusion-webui\configs\v1-inference.yaml
LatentDiffusion: Running in eps-prediction mode
Running on local URL:  http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.
DiffusionWrapper has 859.52 M params.
Startup time: 13.9s (import torch: 2.9s, import gradio: 2.8s, import ldm: 0.9s, other imports: 1.5s, setup codeformer: 0.1s, list SD models: 0.4s, load scripts: 3.9s, create ui: 1.0s, gradio launch: 0.4s).
preload_extensions_git_metadata for 16 extensions took 5.46s
Loading VAE weights specified in settings: D:\stable-diffusion-webui\models\VAE\kl-f8-anime2.safetensors
Applying attention optimization: xformers... done.
Textual inversion embeddings loaded(6): bad_prompt, bad_prompt_version2, badhandv4, EasyNegative, EasyNegativeV2, negative_hand-neg
Model loaded in 12.3s (load weights from disk: 1.1s, create model: 0.8s, apply weights to model: 5.8s, apply half(): 2.1s, load VAE: 0.7s, move model to device: 1.5s, calculate empty prompt: 0.2s).
100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:06<00:00,  2.92it/s]
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:05<00:00,  3.40it/s]
100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:05<00:00,  3.68it/s]
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:04<00:00,  3.87it/s]
0: 640x448 1 face, 81.6ms
Speed: 5.0ms preprocess, 81.6ms inference, 9.7ms postprocess per image at shape (1, 3, 640, 448)
100%|████████████████████████████████████████████████████████████████████████████████████| 9/9 [00:01<00:00,  6.57it/s]

0: 640x448 1 face, 7.0ms
Speed: 2.0ms preprocess, 7.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 448)
100%|████████████████████████████████████████████████████████████████████████████████████| 9/9 [00:01<00:00,  6.94it/s]
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:13<00:00,  1.51it/s]
2023-07-02 23:43:52,640 - ControlNet - INFO - Loading model: control_v11e_sd15_shuffle [526bfdae]0:13<00:00,  3.87it/s]
2023-07-02 23:43:53,902 - ControlNet - INFO - Loaded state_dict from [D:\stable-diffusion-webui\extensions\sd-webui-controlnet\models\control_v11e_sd15_shuffle.pth]
2023-07-02 23:43:53,903 - ControlNet - INFO - Loading config: D:\stable-diffusion-webui\extensions\sd-webui-controlnet\models\control_v11e_sd15_shuffle.yaml
2023-07-02 23:43:56,234 - ControlNet - INFO - ControlNet model control_v11e_sd15_shuffle [526bfdae] loaded.
2023-07-02 23:43:56,343 - ControlNet - INFO - Loading preprocessor: shuffle
2023-07-02 23:43:56,344 - ControlNet - INFO - preprocessor resolution = 512
100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:07<00:00,  2.74it/s]
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:06<00:00,  2.79it/s]
0: 640x448 1 face, 13.0ms
Speed: 1.0ms preprocess, 13.0ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 448)
100%|████████████████████████████████████████████████████████████████████████████████████| 9/9 [00:01<00:00,  6.96it/s]

0: 640x448 1 face, 7.1ms
Speed: 1.3ms preprocess, 7.1ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 448)
100%|████████████████████████████████████████████████████████████████████████████████████| 9/9 [00:01<00:00,  6.94it/s]
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:14<00:00,  1.41it/s]
2023-07-02 23:44:22,868 - ControlNet - INFO - Loading model from cache: control_v11e_sd15_shuffle [526bfdae]  2.79it/s]
2023-07-02 23:44:22,871 - ControlNet - INFO - Loading preprocessor: shuffle
2023-07-02 23:44:22,872 - ControlNet - INFO - preprocessor resolution = 512
100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:07<00:00,  2.77it/s]
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:06<00:00,  2.83it/s]
0: 640x448 1 face, 6.8ms
Speed: 2.0ms preprocess, 6.8ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 448)
100%|████████████████████████████████████████████████████████████████████████████████████| 9/9 [00:01<00:00,  6.98it/s]

0: 640x448 1 face, 6.0ms
Speed: 2.0ms preprocess, 6.0ms inference, 2.4ms postprocess per image at shape (1, 3, 640, 448)
100%|████████████████████████████████████████████████████████████████████████████████████| 9/9 [00:01<00:00,  6.98it/s]
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:14<00:00,  1.37it/s]
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:14<00:00,  2.83it/s]

There are a lot of things involved, so it's hard to know what's causing it. It may not be a problem with controlnet and adetailer. I've even seen posts where rebooting the computer solved a similar problem...

pwcarney commented 1 year ago

Yes, it’s very inconsistent on my end as well. I’ll do it in t2i and then i2i and it’ll work in one and not the other. I did just update my automatic1111 repo yesterday so that does seem like a likely culprit.

On Sun, Jul 2, 2023 at 10:49 AM Dowon @.***> wrote:

Here is my result with Controlnet shuffle and ADetailer:

[image: Cap 2023-07-02 23-45-06-705] https://user-images.githubusercontent.com/37621276/250364383-87fa4435-ce14-4d71-ac77-aa181fa31582.png

python launch.py --autolaunch --xformers --disable-nan-check Python 3.10.12 | packaged by conda-forge | (main, Jun 23 2023, 22:34:57) [MSC v.1936 64 bit (AMD64)] Version: v1.4.0-101-gb42c0ef6 Commit hash: b42c0ef6c31e38db52aecdb38908238dc81c5f01 Installing requirements

Launching Web UI with arguments: --autolaunch --xformers --disable-nan-check [-] ADetailer initialized. version: 23.7.0, num models: 8 2023-07-02 23:41:54,179 - ControlNet - INFO - ControlNet v1.1.227 ControlNet preprocessor location: D:\stable-diffusion-webui\extensions\sd-webui-controlnet\annotator\downloads 2023-07-02 23:41:54,379 - ControlNet - INFO - ControlNet v1.1.227 Loading weights [5998292c04] from D:\stable-diffusion-webui\models\Stable-diffusion\Counterfeit-V3.0_fp16-no-ema.safetensors Creating model from config: D:\stable-diffusion-webui\configs\v1-inference.yaml LatentDiffusion: Running in eps-prediction mode Running on local URL: http://127.0.0.1:7860

To create a public link, set share=True in launch().DiffusionWrapper has 859.52 M params.Startup time: 13.9s (import torch: 2.9s, import gradio: 2.8s, import ldm: 0.9s, other imports: 1.5s, setup codeformer: 0.1s, list SD models: 0.4s, load scripts: 3.9s, create ui: 1.0s, gradio launch: 0.4s).preload_extensions_git_metadata for 16 extensions took 5.46sLoading VAE weights specified in settings: D:\stable-diffusion-webui\models\VAE\kl-f8-anime2.safetensorsApplying attention optimization: xformers... done.Textual inversion embeddings loaded(6): bad_prompt, bad_prompt_version2, badhandv4, EasyNegative, EasyNegativeV2, negative_hand-negModel loaded in 12.3s (load weights from disk: 1.1s, create model: 0.8s, apply weights to model: 5.8s, apply half(): 2.1s, load VAE: 0.7s, move model to device: 1.5s, calculate empty prompt: 0.2s).100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:06<00:00, 2.92it/s]Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:05<00:00, 3.40it/s]100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:05<00:00, 3.68it/s]Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:04<00:00, 3.87it/s]0: 640x448 1 face, 81.6msSpeed: 5.0ms preprocess, 81.6ms inference, 9.7ms postprocess per image at shape (1, 3, 640, 448)100%|████████████████████████████████████████████████████████████████████████████████████| 9/9 [00:01<00:00, 6.57it/s]0: 640x448 1 face, 7.0msSpeed: 2.0ms preprocess, 7.0ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 448)100%|████████████████████████████████████████████████████████████████████████████████████| 9/9 [00:01<00:00, 6.94it/s]Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:13<00:00, 1.51it/s]2023-07-02 23:43:52,640 - ControlNet - INFO - Loading model: control_v11e_sd15_shuffle [526bfdae]0:13<00:00, 3.87it/s]2023-07-02 23:43:53,902 - ControlNet - INFO - Loaded state_dict from [D:\stable-diffusion-webui\extensions\sd-webui-controlnet\models\control_v11e_sd15_shuffle.pth]2023-07-02 23:43:53,903 - ControlNet - INFO - Loading config: D:\stable-diffusion-webui\extensions\sd-webui-controlnet\models\control_v11e_sd15_shuffle.yaml2023-07-02 23:43:56,234 - ControlNet - INFO - ControlNet model control_v11e_sd15_shuffle [526bfdae] loaded.2023-07-02 23:43:56,343 - ControlNet - INFO - Loading preprocessor: shuffle2023-07-02 23:43:56,344 - ControlNet - INFO - preprocessor resolution = 512100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:07<00:00, 2.74it/s]Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:06<00:00, 2.79it/s]0: 640x448 1 face, 13.0msSpeed: 1.0ms preprocess, 13.0ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 448)100%|████████████████████████████████████████████████████████████████████████████████████| 9/9 [00:01<00:00, 6.96it/s]0: 640x448 1 face, 7.1msSpeed: 1.3ms preprocess, 7.1ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 448)100%|████████████████████████████████████████████████████████████████████████████████████| 9/9 [00:01<00:00, 6.94it/s]Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:14<00:00, 1.41it/s]2023-07-02 23:44:22,868 - ControlNet - INFO - Loading model from cache: control_v11e_sd15_shuffle [526bfdae] 2.79it/s]2023-07-02 23:44:22,871 - ControlNet - INFO - Loading preprocessor: shuffle2023-07-02 23:44:22,872 - ControlNet - INFO - preprocessor resolution = 512100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:07<00:00, 2.77it/s]Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:06<00:00, 2.83it/s]0: 640x448 1 face, 6.8msSpeed: 2.0ms preprocess, 6.8ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 448)100%|████████████████████████████████████████████████████████████████████████████████████| 9/9 [00:01<00:00, 6.98it/s]0: 640x448 1 face, 6.0msSpeed: 2.0ms preprocess, 6.0ms inference, 2.4ms postprocess per image at shape (1, 3, 640, 448)100%|████████████████████████████████████████████████████████████████████████████████████| 9/9 [00:01<00:00, 6.98it/s]Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:14<00:00, 1.37it/s]Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:14<00:00, 2.83it/s]

There are a lot of things involved, so it's hard to know what's causing it. It may not be a problem with controlnet and adetailer. I've even seen posts where rebooting the computer solved a similar problem...

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iamrohitanshu commented 1 year ago

I also have issues with Adetailer+ControlNET. In my case when I try to use both of them I get the following error: ADetailer: 'NansException' occurred with 1st settings. A tensor with all NaNs was produced in Unet. This could be either because there's not enough precision to represent the picture, or because your video card does not support half type. Try setting the "Upcast cross attention layer to float32" option in Settings > Stable Diffusion or using the --no-half commandline argument to fix this. Use --disable-nan-check commandline argument to disable this check. I am using ---xformers --no-half-vae, so I shouldn't be getting NansExceptions. I didn't use to have any issues, but after the new update a few days ago, this started happening. Haven't found any way to solve this on my own.

I have these arguments in my commandline from day 1 as my video card was producing black images on first try. So, I don't get any errors like that in my console, but this issue is showing in the results I guess.

iamrohitanshu commented 1 year ago

@Bing-su , @pwcarney So I did more testing. It has been consistent on my system. It glitches every time. May be it has to do something with hardware, or commandline arguments. I tried changing the arguments, but can't change much as they give OOM error as I have only a 6GB VRAM card.

A workaround is to generate without Adetailer and then use it in img2img later without controlnet. We have to do almost twice the work, but it works.

00016-revAnimated_v122-3352870665-Euler

@Bing-su , If you think it's not reproducible or not worth investigating into further, you can close this issue if you'd like. Thank you everyone for their inputs.

Bing-su commented 1 year ago

@iamrohitanshu Did you encounter this issue after webui 1.4.0? If so, try updating adetailer as I've fixed one related issue.

Gardgio commented 1 year ago

I also have issues with Adetailer+ControlNET. In my case when I try to use both of them I get the following error: ADetailer: 'NansException' occurred with 1st settings. A tensor with all NaNs was produced in Unet. This could be either because there's not enough precision to represent the picture, or because your video card does not support half type. Try setting the "Upcast cross attention layer to float32" option in Settings > Stable Diffusion or using the --no-half commandline argument to fix this. Use --disable-nan-check commandline argument to disable this check. I am using ---xformers --no-half-vae, so I shouldn't be getting NansExceptions. I didn't use to have any issues, but after the new update a few days ago, this started happening. Haven't found any way to solve this on my own.

Same error here, tried numerous reasonable solution from previous thread, still doesn't work. And this issue doesn't seem to be taken care.

So, if anyone having the same issue, I suggest using https://github.com/ototadana/sd-face-editor instead.

iamrohitanshu commented 1 year ago

@iamrohitanshu Did you encounter this issue after webui 1.4.0? If so, try updating adetailer as I've fixed one related issue.

@Bing-su I updated both Adetailer and ControlNet. Unfortunately, same result.

iamrohitanshu commented 1 year ago

So, if anyone having the same issue, I suggest using https://github.com/ototadana/sd-face-editor instead.

@Gardgio Thanks for the recommendation, looks nice. I'm trying it.

xiaojiemeidu commented 1 year ago

image

Can anyone tell me what version of webui this is?

Bing-su commented 1 year ago

That's my personal fork, and the contents are the same as v1.4.0, 394ffa7b0a7fff3ec484bcd084e673a8b301ccc8.

xiaojiemeidu commented 1 year ago

A week has passed and no one can fix this bug? I have tried different models with different vae's and all have this problem. 2060s, 3070, 4070ti, 4090. Is it a problem with webui or with xformers or something else？

webui1.4 ControlNet+Adetailer

Do I have to go back to 1.3 webui if I want to use it?

iamrohitanshu commented 1 year ago

@Bing-su , @pwcarney , @xiaojiemeidu I checked. It's working as intended on webui v1.3.2, but messes up on v1.4.0.

maxdjjdu commented 1 year ago

i've same problem too when use with controlnet openpose, lineart.

mpmo10 commented 1 year ago

Same issue when using a detailer+ reference controlnets :/

mpmo10 commented 1 year ago

@Bing-su , @pwcarney , @xiaojiemeidu I checked. It's working as intended on webui v1.3.2, but messes up on v1.4.0.

how do you downgrade the webui pls?

iamrohitanshu commented 1 year ago

how do you downgrade the webui pls?

Instead of downgrading, I've just installed the v1.3.2 separately. So, that I can use all my extensions and settings on the v1.4.0 and receive the upgrades and fixes as they are released.

To install an old version from github, just like when you first installed the webui, use git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git in a separate folder through the command line, then write git checkout baf6946 where baf6946 is the hash of the release v1.3.2, which you can check in the releases section of the original repo.

You can just copy the folders of the extensions you need to the new installation, no need to install again.

IMPORTANT: Before you run the webui-user.bat file, make sure to copy your desired models in their respective folders, otherwise if it's empty, it will automatically download the v1-5-pruned-emaonly.safetensors file, which is around 4GB. Also, don't use git pull in the webui-user.bat file, so that it doesn't auto upgrade.

On v1.3.2, I've only installed the bare minimum of things that I absolutely need. That keeps it light and uncluttered. Hope that helps.

minaco101 commented 1 year ago

I also have issues with Adetailer+ControlNET. In my case when I try to use both of them I get the following error: ADetailer: 'NansException' occurred with 1st settings. A tensor with all NaNs was produced in Unet. This could be either because there's not enough precision to represent the picture, or because your video card does not support half type. Try setting the "Upcast cross attention layer to float32" option in Settings > Stable Diffusion or using the --no-half commandline argument to fix this. Use --disable-nan-check commandline argument to disable this check. I am using ---xformers --no-half-vae, so I shouldn't be getting NansExceptions. I didn't use to have any issues, but after the new update a few days ago, this started happening. Haven't found any way to solve this on my own.

got the same problem at last I will return the webui to version 1.3.2 and this problem disappears

pwcarney commented 1 year ago

how do you downgrade the webui pls?

Instead of downgrading, I've just installed the v1.3.2 separately. So, that I can use all my extensions and settings on the v1.4.0 and receive the upgrades and fixes as they are released.

To install an old version from github, just like when you first installed the webui, use git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git in a separate folder through the command line, then write git checkout baf6946 where baf6946 is the hash of the release v1.3.2, which you can check in the releases section of the original repo.

You can just copy the folders of the extensions you need to the new installation, no need to install again.

IMPORTANT: Before you run the webui-user.bat file, make sure to copy your desired models in their respective folders, otherwise if it's empty, it will automatically download the v1-5-pruned-emaonly.safetensors file, which is around 4GB. Also, don't use git pull in the webui-user.bat file, so that it doesn't auto upgrade.

On v1.3.2, I've only installed the bare minimum of things that I absolutely need. That keeps it light and uncluttered. Hope that helps.

Downgrading worked for me as well. Thanks for finding the commit. What a weird issue. I wonder what the cause is. I'm content to just chill on this release for a bit... Until SDXL launches at least.

Bing-su commented 1 year ago

Can anyone confirm if this issue exists with the latest version of ADetailer and webui 1.4.0?

iamrohitanshu commented 1 year ago

@Bing-su , just tested, this works as it should now. The faces are clean once again! ╰(°▽°)╯

Though my webui has been upgraded to v1.4.1. So I'm not sure if it works on v1.4.0 or not. Thanks for your hard work!

iamrohitanshu commented 1 year ago

Downgrading worked for me as well. Thanks for finding the commit. What a weird issue. I wonder what the cause is. I'm content to just chill on this release for a bit... Until SDXL launches at least.

No problem. It's working on v1.4.1, so you might want to check that. SDXL is supposed to be released this month, but it seems to be too big for my graphics card. I'll wait to see if someone prunes it enough that it works on my system or I might've to save money to buy a 12GB model. ¯\(ツ)/¯

The base model is already good enough, I'm excited to see what model creators and mergers bring to the table. (❁´◡`❁)

Sotonya commented 1 year ago

same here qwerty

iamrohitanshu commented 1 year ago

@Sotonya , Did you update the extension. I'm the original poster of this issue, and it works fine now for me. Please update the extension and report back either way, so we can be sure.

Sotonya commented 1 year ago

the fact is that I have this problem appeared exactly after the update. But I'll try again, thanks. Upd. Screenshot_2023-07-15-16-35-33-18_df198e732186825c8df26e3c5a10d7cd Screenshot_2023-07-15-16-35-10-44_df198e732186825c8df26e3c5a10d7cd

Sotonya commented 1 year ago

Updated to 23.7.5 for now, and nothing changed. face is still messy

iamrohitanshu commented 1 year ago

@Sotonya what's your webui version? is it updated to v1.4.1 as well?

Sotonya commented 1 year ago

@Sotonya what's your webui version? is it updated to v1.4.1 as well?

Yes 12

iamrohitanshu commented 1 year ago

@Sotonya Well, only thing's different is that I have xformers activated. I'd suggest you do that, even just for testing purposes.

Then @Bing-su can take from there.

Sotonya commented 1 year ago

It worked without xformers. maybe the problem is in colab? I don't use the sd locally.

iamrohitanshu commented 1 year ago

It worked without xformers. maybe the problem is in colab? I don't use the sd locally.

I use it locally and have never used colab before. So, I can't help you there. :|

iamrohitanshu commented 1 year ago

@Sotonya Hey if your problem isn't resolved yet, may be you can try some other extension meanwhile, for fixing faces. https://github.com/ototadana/sd-face-editor has worked for me.