[bug] 01-faceswap.json - not sure, could be bug, but something (data) is missing.

[eTQMA]

Describe the bug

Hi dev I admire your work, and I have question (faceswap) about missing datas with screenshots:

Everything was cleanly installed, and I open your 01-faceswap.json.. As you can see in screenshot (1):

And so, I went to test for the first time by clicking on queue prompt, and it was not successful.
Because two shapes are missing? See screenshot (2):

First shape

Btw I have the file inswapper_128.onnx', but I can't find a folder to put the file in?

Second shape

I also have that file GFPGANv1.4.pth, but have no idea where to find the folder.

Check please console output, thanks.

I hope you can help me figure out where to move 2 important files so that the red shapes are no longer visible and your 01-faceswap.json can function optimally. I've been searching for it for 4 days but couldn't resolve it. Re thank you very much and greetings!

TQMA

Reproduction

No response

Expected behavior

No response

Platform and versions

Windows 10
ComfyUI + ComfyUI-Manager

Console output

C:\AI\ComfyUI\ComfyUI_windows_portable>.\python_embeded\python.exe -s ComfyUI\main.py --windows-standalone-build

Prestartup times for custom nodes:
   0.0 seconds: C:\AI\ComfyUI\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Manager

Total VRAM 8192 MB, total RAM 32604 MB
xformers version: 0.0.20
Set vram state to: NORMAL_VRAM
Device: cuda:0 NVIDIA GeForce RTX 3060 Ti : cudaMallocAsync
Using xformers cross attention
Adding extra search path checkpoints C:\AI\stable-diffusion\stable-diffusi0n-webui\stable-diffusion-webui\models/Stable-diffusion
Adding extra search path configs C:\AI\stable-diffusion\stable-diffusi0n-webui\stable-diffusion-webui\models/Stable-diffusion
Adding extra search path vae C:\AI\stable-diffusion\stable-diffusi0n-webui\stable-diffusion-webui\models/VAE
Adding extra search path loras C:\AI\stable-diffusion\stable-diffusi0n-webui\stable-diffusion-webui\models/Lora
Adding extra search path loras C:\AI\stable-diffusion\stable-diffusi0n-webui\stable-diffusion-webui\models/LyCORIS
Adding extra search path upscale_models C:\AI\stable-diffusion\stable-diffusi0n-webui\stable-diffusion-webui\models/ESRGAN
Adding extra search path upscale_models C:\AI\stable-diffusion\stable-diffusi0n-webui\stable-diffusion-webui\models/RealESRGAN
Adding extra search path upscale_models C:\AI\stable-diffusion\stable-diffusi0n-webui\stable-diffusion-webui\models/SwinIR
Adding extra search path embeddings C:\AI\stable-diffusion\stable-diffusi0n-webui\stable-diffusion-webui\embeddings
Adding extra search path hypernetworks C:\AI\stable-diffusion\stable-diffusi0n-webui\stable-diffusion-webui\models/hypernetworks
Adding extra search path controlnet C:\AI\stable-diffusion\stable-diffusi0n-webui\stable-diffusion-webui\models/ControlNet
### Loading: ComfyUI-Manager (V0.17.1)
### ComfyUI Revision: 1221 [95d796fc]
Log level: 20
[comfy_mtb] | WARNING -> Web extensions folder at C:\AI\ComfyUI\ComfyUI_windows_portable\ComfyUI\web\extensions\mtb is not a symlink, if updating please delete it before
C:\AI\ComfyUI\ComfyUI_windows_portable\python_embeded\lib\site-packages\torchvision\transforms\functional_tensor.py:5: UserWarning: The torchvision.transforms.functional_tensor module is deprecated in 0.15 and will be **removed in 0.17**. Please don't rely on it. You probably just need to use APIs in torchvision.transforms.functional or in torchvision.transforms.v2.functional.
  warnings.warn(
ImageRemoveBackgroundRembg
[comfy_mtb] | INFO -> Some nodes failed to load:
        Failed to import module mask because ModuleNotFoundError: No module named 'rembg'

Check that you properly installed the dependencies.
If you think this is a bug, please report it on the github page (https://github.com/melMass/comfy_mtb/issues)
[comfy_mtb] | INFO -> Loaded the following nodes:
        Animation Builder (mtb): Convenient way to manage basic animation maths at the core of many of my workflows
        Smart Step (mtb): Utils to control the steps start/stop of the KAdvancedSampler in percentage
        Text To Image (mtb): Utils to convert text to image using a font
        Styles Loader (mtb): Load csv files and populate a dropdown from the rows (à la A111)
        Bbox From Mask (mtb): From a mask extract the bounding box
        Bbox (mtb): The bounding box (BBOX) custom type used by other nodes
        Crop (mtb): Crops an image and an optional mask to a given bounding box
        Uncrop (mtb): Uncrops an image to a given bounding box
        Debug (mtb): Experimental node to debug any Comfy values, support for more types and widgets is planned
        Save Tensors (mtb): Save torch tensors (image, mask or latent) to disk, useful to debug things outside comfy
        Deep Bump (mtb): Normal & height maps generation from single pictures
        Restore Face (mtb): Uses GFPGan to restore faces
        Load Face Enhance Model (mtb): Loads a GFPGan or RestoreFormer model for face enhancement.
        Face Swap (mtb): Face swap using deepinsight/insightface models        Load Face Swap Model (mtb): Loads a faceswap model
        Load Face Analysis Model (mtb): Loads a face analysis model
        Qr Code (mtb): Basic QR Code generator
        Unsplash Image (mtb): Unsplash Image given a keyword and a size        String Replace (mtb): Basic string replacement
        Fit Number (mtb): Fit the input float using a source and target range
        Load Film Model (mtb): Loads a FILM model
        Film Interpolation (mtb): Google Research FILM frame interpolation for large motion
        Concat Images (mtb): Add images to batch
        Get Batch From History (mtb): Very experimental node to load images from the history of the server.
        Color Correct (mtb): Various color correction methods
        Image Compare (mtb): Compare two images and return a difference image
        Blur (mtb): Blur an image using a Gaussian filter.
        Mask To Image (mtb): Converts a mask (alpha) to an RGB image with a color and background
        Colored Image (mtb): Constant color image of given size
        Image Premultiply (mtb): Premultiply image with mask
        Image Resize Factor (mtb): Extracted mostly from WAS Node Suite, with a few edits (most notably multiple image support) and less features.
        Save Image Grid (mtb): Save all the images in the input batch as a grid of images.
        Load Image From Url (mtb): Load an image from the given URL
        Save Gif (mtb): Save the images from the batch as a GIF
        Export To Prores (mtb): Export to ProRes 4444 (Experimental)
        Latent Lerp (mtb): Linear interpolation (blend) between two latent vectors
        Float To Number (mtb): Node addon for the WAS Suite. Converts a "comfy" FLOAT to a NUMBER.
        Int To Bool (mtb): Basic int to bool conversion
        Int To Number (mtb): Node addon for the WAS Suite. Converts a "comfy" INT to a NUMBER.
        Transform Image (mtb): Save torch tensors (image, mask or latent) to disk, useful to debug things outside comfy
        Load Image Sequence (mtb): Load an image sequence from a folder. The current frame is used to determine which image to load.
        Save Image Sequence (mtb): Save an image sequence to a folder. The current frame is used to determine which image to save.

Import times for custom nodes:
   0.0 seconds: C:\AI\ComfyUI\ComfyUI_windows_portable\ComfyUI\custom_nodes\Derfuu_ComfyUI_ModdedNodes
   0.4 seconds: C:\AI\ComfyUI\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Manager
   1.0 seconds: C:\AI\ComfyUI\ComfyUI_windows_portable\ComfyUI\custom_nodes\comfy_mtb

Starting server

To see the GUI go to: http://127.0.0.1:8188
got prompt
Failed to validate prompt for output 75:
* Load Face Swap Model (mtb) 69:
  - Value not in list: faceswap_model: 'inswapper_128.onnx' not in []
Output will be ignored
Failed to validate prompt for output 25:
* Load Face Enhance Model (mtb) 71:
  - Value not in list: model_name: 'GFPGANv1.4.pth' not in []
Output will be ignored
Setting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is None and using 10 heads.
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Setting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 2048 and using 20 heads.
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Setting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 2048 and using 20 heads.
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Setting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 2048 and using 20 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 2048 and using 20 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 2048 and using 20 heads.
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Setting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 2048 and using 20 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.
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Setting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 2048 and using 20 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 2048 and using 20 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 2048 and using 20 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 2048 and using 20 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 2048 and using 20 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is None and using 20 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 1280, context_dim is 2048 and using 20 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is None and using 10 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is 2048 and using 10 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is None and using 10 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is 2048 and using 10 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is None and using 10 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is 2048 and using 10 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is None and using 10 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is 2048 and using 10 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is None and using 10 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is 2048 and using 10 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is None and using 10 heads.
Setting up MemoryEfficientCrossAttention. Query dim is 640, context_dim is 2048 and using 10 heads.
model_type EPS
adm 2816
making attention of type 'vanilla-xformers' with 512 in_channels
building MemoryEfficientAttnBlock with 512 in_channels...
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
making attention of type 'vanilla-xformers' with 512 in_channels
building MemoryEfficientAttnBlock with 512 in_channels...
left over keys: dict_keys(['cond_stage_model.clip_l.transformer.text_model.embeddings.position_ids'])
WARNING: shape mismatch when trying to apply embedding, embedding will be ignored 768 1280
WARNING: shape mismatch when trying to apply embedding, embedding will be ignored 768 1280
WARNING: shape mismatch when trying to apply embedding, embedding will be ignored 768 1280
WARNING: shape mismatch when trying to apply embedding, embedding will be ignored 768 1280
WARNING: shape mismatch when trying to apply embedding, embedding will be ignored 768 1280
WARNING: shape mismatch when trying to apply embedding, embedding will be ignored 768 1280
WARNING: shape mismatch when trying to apply embedding, embedding will be ignored 768 1280
WARNING: shape mismatch when trying to apply embedding, embedding will be ignored 768 1280
WARNING: shape mismatch when trying to apply embedding, embedding will be ignored 768 1280
WARNING: shape mismatch when trying to apply embedding, embedding will be ignored 768 1280
WARNING: shape mismatch when trying to apply embedding, embedding will be ignored 768 1280
WARNING: shape mismatch when trying to apply embedding, embedding will be ignored 768 1280
WARNING: shape mismatch when trying to apply embedding, embedding will be ignored 768 1280
WARNING: shape mismatch when trying to apply embedding, embedding will be ignored 768 1280
WARNING: shape mismatch when trying to apply embedding, embedding will be ignored 768 1280
WARNING: shape mismatch when trying to apply embedding, embedding will be ignored 768 1280
WARNING: shape mismatch when trying to apply embedding, embedding will be ignored 768 1280
WARNING: shape mismatch when trying to apply embedding, embedding will be ignored 768 1280
WARNING: shape mismatch when trying to apply embedding, embedding will be ignored 768 1280
WARNING: shape mismatch when trying to apply embedding, embedding will be ignored 768 1280
WARNING: shape mismatch when trying to apply embedding, embedding will be ignored 768 1280
WARNING: shape mismatch when trying to apply embedding, embedding will be ignored 768 1280
WARNING: shape mismatch when trying to apply embedding, embedding will be ignored 768 1280
WARNING: shape mismatch when trying to apply embedding, embedding will be ignored 768 1280
  0%|                                          | 0/45 [00:00<?, ?it/s]C:\AI\ComfyUI\ComfyUI_windows_portable\python_embeded\lib\site-packages\torchsde\_brownian\brownian_interval.py:594: UserWarning: Should have tb<=t1 but got tb=14.614644050598145 and t1=14.614642.
  warnings.warn(f"Should have {tb_name}<=t1 but got {tb_name}={tb} and t1={self._end}.")
100%|█████████████████████████████████| 45/45 [00:22<00:00,  2.02it/s]
Prompt executed in 34.34 seconds

Additional context

No response

[melMass]

Thanks for the great report, for the face restore ones it's actually an error I made and forgot to fix!
I will later today or early next week, but in the meantime you can put the 3 face_restore models in models/upscale_models.

About the faceswap one it's strange that it did not go in models/insightface directly, I will check why, but same in the meantime you can put it there

[eTQMA]

you can put the 3 face_restore models in models/upscale_models & About the faceswap one it's strange that it did not go in models/insightface directly

It works!! (Models/upscale_models & models/insightface) Thanks!!

I got new issue of "Weight value" of 0.5 (your standard), see yellow circles
EDIT: I believe problem (yellow circles) from weight value? I may be mistaken

Thanks for the great report, for the face restore ones it's actually an error I made and forgot to fix!

Good, no problem (to fix) thanks ❤️🙏

[melMass]

It works!! (Models/upscale_models & models/insightface) Thanks!!

Great! I will fix it in the next release to avoid that need without breaking from the old behavior for now

I got new issue of "Weight value" of 0.5 (your standard), see yellow circles EDIT: I believe problem (yellow circles) from weight value? I may be mistaken

Yep I do have those too unfortunately, more present in some compositions then others, check my test on video here: #19 (comment)

The weight is not related though, that's a property that should be used by gfpgan but after I tracked down its use in GFPGan's source code I saw that it was never actually used (I might need to recheck that was a few weeks back it's not too fresh)
It should affect how much "face restoration" should be applied overall. I think A111 exposes it and there it works so I'm maybe wrong there, I will check.

That said if you look at the "official" example you can see the issue present there too:

https://replicate.com/okaris/roop