Improve discoverability on Hugging Face#4
Conversation
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Hello, I would like to ask where the training code is. I want to train my own dataset. Thank you. |
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Dear author, hello! I have a question to ask you: How do you test the indicators such as MUSIQ, NRQM and NIQE? Is it dependent on the pyiqa library |
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Does anyone know which profile to read if you want to test the Real-LOLBlur dataset? |
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DBlock就是在nafnet的nafblock上加了3个空洞卷积?我也是这个想法 |
您好,不知道您改成功没有,我也需要这个。 |
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Is it convenient for the author to supplement the training code and usage guide in the project? If we could share the relevant resources, it would be of great help to our subsequent research. Thank you in advance! |
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啥玩意
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…------------------ Original ------------------
From: wang-yu-tao ***@***.***>
Date: Tue,Jul 29,2025 4:16 PM
To: cidautai/DarkIR ***@***.***>
Cc: dhhdhdwudhx ***@***.***>, Comment ***@***.***>
Subject: Re: [cidautai/DarkIR] Improve discoverability on Hugging Face (PR #4)
wang-yu-tao left a comment (cidautai/DarkIR#4)
Hello, I would like to ask where the training code is. I want to train my own dataset. Thank you.你好,我想问一下训练代码在哪里。我想训练自己的数据集。谢谢。
您好,不知道您改成功没有,我也需要这个。
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Hello, have you obtained the training code? |
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Looks like a model has been uploaded by @danifei: https://huggingface.co/Cidaut/DarkIR Would be great to mention the 🤗 model in the README of this Github repo :) |
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Dear author, thank you for your work. I've incorporated EBlock and DBlock into other networks, and the resulting loss function is NaN, with the images getting progressively worse until they become completely black. Do you have any experience with this? |
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Hello, I would like to ask where the training code is. I want to train my own dataset. Thank you. |
你好,请问有训练代码了吗? |
你好,请问有训练代码了吗? |
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Does anyone have the training code? Thank you. |






Hi @mv-lab and team,
Thanks for this nice work!
I wrote a quick PoC to showcase that you can easily have integration with the 🤗 hub so that you can automatically:
from_pretrained(and push them usingpush_to_hubUsage is as follows:
One can push a trained model as follows:
This means people don't need to manually download a checkpoint first in their local environment, it just loads automatically from the hub.
Would you be interested in this integration?
Kind regards,
Niels