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the quality of generated image is low by benchmark on stable diffusion v1.5 #443

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aoke79 opened this issue May 16, 2024 · 7 comments
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@aoke79
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aoke79 commented May 16, 2024

I've run the benchmark to test stable diffusion v1.5, but the quality of generated image is low. I doubted there are something computing wrong in the process.
I compared it with optimum-intel. and set the same prompt, steps (20), resolution (512x512), and got very different quality image. please have a look at.

xx_1
stable-diffusion-optimum-sdv1_5_p0_iter0_pid15516_output

@andrei-kochin
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@aoke79 please share the command you've run to get those images in optimum and in the benchmark?

Thank you!

@aoke79
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aoke79 commented May 20, 2024

python benchmark.py -d GPU --model "C:\AIGC\openvino\models\stable-diffusion-sdv1_5" --prompt_file "prompts/stable-diffusion.jsonl" -n 3
the model was converted from hugging-face runway stable diffusion.

@e-ddykim
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@aoke79 Please check guidance_scale in https://github.com/openvinotoolkit/openvino.genai/blob/master/llm_bench/python/prompts/stable-diffusion.jsonl. Could you try it with the value of 7.5?

@Edward-Lin
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I have set up the same parameters for both cases. it should not be the root cause.

@Edward-Lin
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I've udpated the environments, like below, but the generated image is still wrong, nothing better.
python -m pip install --upgrade pip
pip install --pre -U openvino --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly

please refer what I've attached for the details.
ov_pip_list.txt
stable-diffusion.jsonl.txt

@geunhwan
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geunhwan commented Jul 5, 2024

@Edward-Lin Please check above comment. guidance_scale 7.5

@Edward-Lin
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@Edward-Lin Please check above comment. guidance_scale 7.5

Have you ever tried? it did not work for me.

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