[Bug]: RuntimeError: could not create a primitive descriptor for a matmul primitive when using a negative embedding with --use-ipex #14224
Comments
|
Thanks for reporting. I'll have a look. |
Cast `torch.bmm` args into same `dtype`. Fixes the following error when using Text Inversion embedding (AUTOMATIC1111#14224): ``` RuntimeError: could not create a primitive descriptor for a matmul primitive ```
|
Hi guys
With 1.6.1 everything works ok Unfortunately I don't have Intel Arc GPU to test it with 1.7.0-RC + ReActor |
Not the same error as this ticket. It's probably another issue of underlying oneDNN implementation, I've seen "could not create a primitive descriptor for a reorder primitive" with a And facexlib bisenet triggers this error with the same sequence: Unfortunately, I haven't figured out the workaround yet. |
BTW, IPEX support was first introduced in 1.7.0-RC. What do you mean by "with 1.6.1 everything works ok"? |
I mean w/o IPEX support implementation but running on the same PC build |
|
It's not working on Vlads IPEX Version either, but it works on DirectML so its surely IPEX related. These things really make me regret buying an Intel Card. I was a noob and thought "wow cheap 16 GB Vram for AI stuff thats great" but getting stuff to work is just a miserable experience. |
I haven't had any issues with embeddings with SD.Next and my A750 that weren't operator error. Certainly not the error I reported here. |
Sorry for the confusion, was referring to issues with FaceXLib. Like if you try to use Faceswap Extensions with IPEX you get broken results and FaceXLib Errors in Vlads as well. |
|
@HyunJae5463 Can you please try to edit the facexlib source code to see if this works? # venv\lib\site-packages\facexlib\parsing\bisenet.py", line 105
- feat_atten = torch.mul(feat, atten)
+ feat_atten = torch.mul(atten, feat) |
This seems to fix that GFPGAN was not working at all, but swapped faces are still very pixelated and blurry. |
|
Both GFPGAN and CodeFormer? Such result means that the facerestoration method (inside ReActor or in common) doesn't work for some reason with IPEX build 🤔 This is the part of the ReActor's code where the script restores the face, it's rather simple implementation and it works if GFPGAN and CodeFormer modules are ready to work: original_image = result_image.copy()
numpy_image = np.array(result_image)
if enhancement_options.face_restorer.name() == "CodeFormer":
numpy_image = codeformer_model.codeformer.restore(
numpy_image, w=enhancement_options.codeformer_weight
)
else:
numpy_image = enhancement_options.face_restorer.restore(numpy_image)
restored_image = Image.fromarray(numpy_image)
result_image = Image.blend(
original_image, restored_image, enhancement_options.restorer_visibility
)Could you please try to restore your result via Extras tab with A1111's integrated GFPGAN or CodeFormer restoration option (without using ReActor)? Will it succeed? |
The face is blurry and pixelated with both, GFPGAN and CodeFormer. Reactor has a "Face Mask Correction" feature for this, but its not working at all with IPEX. Since the code change suggested above it does no longer give an error, but also does not swap any faces. Before the code change the Face Mask Correction Feature gave the error i have posted here Gourieff/sd-webui-reactor#245 (comment) in case that this helps. And i'm not quite for what you want me to do in Extras. If you want me to put the pixelated and blurry picture into extras and enable CodeFormer or GFPGAN its still pixelated and blurry. If you wanted me to put the normal source image into extras before the face swap and enable either face restoration option, then everything works normally and the output is not pixelated or blurry. If i use Reactor via extras and set "Restore Face" inside Reactor to "none" and use A1111's face restoration instead the result is again pixelated and blurry. So both GFPGAN and CodeFormer are working as intended i guess, but as soon as i use Reactor to swap a face the swapped face is pixelated and blurry. |
This means that face restoration doesn't work with Intel Arc GPUs + IPEX (in current RC build) no matter you use ReActor or not |
Face Restoration works fine. Its only broken when i use Reactor to swap a face. ONLY swapped faces are broken, blurry and pixelated. Normal generated faces via A1111 Face restorations are fine. |
I need to ask. Why have you hijacked my bug report for something completely unrelated? What does this have to do with the embeddings problem I reported. A bug which has apparently been fixed in the latest RC, BTW. |
This is just an image, and you said earlier that when you tried to restore swapped image with help of A1111's built-in face restoration (with ReActor disabled) - the image remains blurry and pixelated - this means that face restoration doesn't work in IPEX build with Intel Arc GPU for some reason and ReActor has nothing to do with this, because it's very simple script uses the same algorithms and libs as A1111's built-in face restoration does If you want to help to resolve this Issue - please don't mislead Here's the test image - please put it to Extras and try to restore it with A1111's built-in CodeFormer or GFPGAN (and ReActor disabled) |
Sorry for that my friend, but it was almost the same error and related to IPEX build |
Cast `torch.bmm` args into same `dtype`. Fixes the following error when using Text Inversion embedding (AUTOMATIC1111#14224): ``` RuntimeError: could not create a primitive descriptor for a matmul primitive ```
Is there an existing issue for this?
What happened?
Running with --use-ipex command line argument on an ARC A750 GPU
Any negative imbedding in the negative prompt block will cause image generation to fail with
RuntimeError: could not create a primitive descriptor for a matmul primitiveRemoving the negative imbedding will allow image generation to proceed normally.
Steps to reproduce the problem
What should have happened?
Image generation using negative embeddings should work normally.
Sysinfo
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}
What browsers do you use to access the UI ?
Google Chrome
Console logs
Additional information
There are two normal runs, without the embedding, on either side of the errored attempt.
The text was updated successfully, but these errors were encountered: