update setting activation scale for diffusers

[eaidova]

What does this PR do?

some diffusion models suffer from execution in fp16 due to activations overflow, previously, to fix this issue we changed inference precision to f32 in runtime which may significantly affect performance.
In 2025.0, openvino will provide a more accurate mechanism to inform plugins about such possible overflows. However, this may still affect model perf if it will be set everywhere where there is no need.

This PR introduced approach for setting activation scale only for specific pipeline components based on models analysis result

Before submitting

• This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
• Did you make sure to update the documentation with your changes?
• Did you write any new necessary tests?

[HuggingFaceDocBuilderDev]

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[AlexKoff88]

@IlyasMoutawwakil, @echarlaix, PR is ready for your review. This is a hotfix to solve accuracy issues with FP16.

[e-ddykim]

I checked that SDXL and FLUX.1 were converted as expected. Thank you so much!
But, could you let me know how to convert SD3 by optimum-cli?

[eaidova]

I checked that SDXL and FLUX.1 were converted as expected. Thank you so much! But, could you let me know how to convert SD3 by optimum-cli?

@e-ddykim export command is the same like for other models:

optimum-cli export openvino -m stabilityai/stable-diffusion-3-medium-diffusers sd3

in case, if you use local directory instead of model id from hub, you need to add --task text-to-image

[IlyasMoutawwakil]

@eaidova I think you need to use stabilityai/stable-diffusion-3-medium-diffusers the diffusers compatible variant

[e-ddykim]

@eaidova I think you need to use stabilityai/stable-diffusion-3-medium-diffusers the diffusers compatible variant

Yes, it works. Thank you!

[e-ddykim]

I also checked that overflow does not happen on SD3 out-of-box. Thank you!

[IlyasMoutawwakil]

LGTM