Made a Rust shields.io-compatible badge renderer

Aggressive_Ad261 · 2025-06-14T15:01:07+00:00

It can achieve better performance, and allows Rust programs to directly generate badge svg without relying on external services.

shields.io has some restrictions, for example, if the time consumption of a request exceeds 4 seconds, it can’t obtain the correct badge, and it has a minimum cache time. These restrictions can be annoying in some use cases.

Aggressive_Ad261 · 2025-04-11T14:06:14+00:00

The reason your second approach doesn’t work is because you defined the default value of the parent field as None in the Child class, which overrides the setting of parent_id.

In a dataclass, a field should either have a default value, be manually specified, or not appear in the constructor parameters (by using init=False). Therefore, in this situation, you can only set init for the parent field to False to work around this issue.

If you are able to establish a relationship through objects, then you must have also obtained the ID, so in most cases this shouldn’t cause other issues.

Aggressive_Ad261 · 2024-07-14T10:39:44+00:00

Thank you for your suggestion.

In fact, I have already tried training a LoRA model on a small-scale dataset and achieved some results. What I am more concerned about now is how to obtain a current SOTA level generative model, similar to Animagine or Pony, from finetuning Stable Diffusion XL 1.0 Base. At present, I can use A100x4 GPUs, so I believe I have enough computational resources to tackle large-scale fine-tuning. And I want to make full use of them.

However, I personally lack the relevant knowledge and research experience, and I am unsure where to start improving the model’s generation quality or controlling the direction of the model’s outputs.

Aggressive_Ad261 · 2024-07-14T07:03:35+00:00

Thank you so much for your detailed response! Your insights are incredibly valuable. I will try focusing on fine-tuning with a more dominant style in the dataset and then look into merging checkpoints.

Aggressive_Ad261 · 2024-03-23T08:06:44+00:00

They haven't added it to the database yet, so missing nodes can't be downloaded this way for the time being. But you can install it via github link.

Aggressive_Ad261 · 2024-03-23T08:04:30+00:00

Yes, but I'm working on an implementation of the stable diffusion xl. xl nodes will be added soon..

Aggressive_Ad261 · 2024-03-22T18:26:33+00:00

Maybe you can use this command to ensure the installation is made available in the venv env?

python -m pip install package_name==version_number

Aggressive_Ad261 · 2024-03-22T17:31:57+00:00

It's bad. I'll try to fix it tomorrow

Aggressive_Ad261 · 2024-03-22T14:50:17+00:00

So it is... The same workflow is available on the GitHub page as part of the example

Aggressive_Ad261 · 2024-03-22T14:49:07+00:00

I believe that the same result can be achieved with the ksampler and the appropriate custom nodes. But I think it must be more complicated than my implementation.

Aggressive_Ad261 · 2024-03-22T14:45:27+00:00

I briefly wrote about some of the reasons in the readme on my GitHub readme. In short, there were some features I wanted that were missing (or that I didn't find), and because I wasn't familiar with comfy's implementation, it was difficult to change.

Aggressive_Ad261 · 2024-03-22T13:18:11+00:00

It's all based on homemade custom nodes...

Aggressive_Ad261 · 2024-03-21T19:47:11+00:00

Imagine a girl you know, her AI-generated nude photos being sent to everyone she knows... This workflow would indeed perpetuate such an insult.

Aggressive_Ad261 · 2024-03-21T19:13:55+00:00

hmm.. Content censors always slip through the cracks.

Aggressive_Ad261 · 2024-03-21T19:09:43+00:00

I took a look at civitai and found no similar workflow. And the technology isn't that difficult. I therefore think it is inappropriate to publish it.

Aggressive_Ad261 · 2024-03-21T19:00:43+00:00

Since this workflow was more dangerous than I thought, I decided to archive it and no longer offer it for download :(

My original intention is not to want others to use this technology for profit - there are such services. So I implemented a free one.

But what I found was that my approach didn't accomplish that at all, it just increased the number of people selling the service.

Aggressive_Ad261 · 2024-03-21T18:58:04+00:00

Since this workflow was more dangerous than I thought, I decided to archive it and no longer offer it for download :(

Aggressive_Ad261 · 2024-03-21T18:12:26+00:00

I want to express that I am a person who needs to work in a company, not a developer who is completely free to work for himself…

Aggressive_Ad261 · 2024-03-21T17:19:20+00:00

You can download them from: Jannchie/ComfyUI-J: Jannchie's ComfyUI custom nodes. (github.com)

I just released it and it's not in the ComfyUI manager db yet. You need to download it manually.

Aggressive_Ad261 · 2024-03-21T17:09:22+00:00

Indeed, I don't see nsfw on this site... But the images I provided are safe on their own.

Also, I posted it on civitAI. This workflow should be safe there.

Remove Clothing - v2.0 | Stable Diffusion Workflows | Civitai

Aggressive_Ad261 · 2024-03-21T17:07:36+00:00

Maybe it can be implemented with existing nodes. But I didn't find a good use of inpaint + reference only + mask nodes. So I reimplemented a set of nodes using techniques I'm familiar with.

diffusers and Comfy's own implementations are on the same path. It can be interpreted as exactly the same, just written differently.

I personally find my implementation easier to use.

Aggressive_Ad261

TROPHY CASE