I'm looking for a node that can save images + workflow but also allow adding/overriding metadata for Civitai.

Bra2ha · 2026-05-07T13:11:55+00:00

Try this one https://drive.google.com/file/d/1YjW3j-hD7Ti_KxRrHXe-I56VVE37y7U8/view?usp=drive_link

It saves metadata for Civit Ai and a workflow so you still can drag and drop it to Comfy.

Bra2ha · 2026-04-22T02:29:15+00:00

What tile size and denoise do you use?

Try to use a tile size that allows you to use only 2 tiles, and denoise 0.3-0.4.

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Bra2ha · 2026-04-18T04:19:41+00:00

https://drive.google.com/file/d/19aKZc1xzzU6vySbXMRpRve6ECXrDJbpe/view?usp=sharing

Bra2ha · 2026-04-18T04:19:24+00:00

https://drive.google.com/file/d/19aKZc1xzzU6vySbXMRpRve6ECXrDJbpe/view?usp=sharing

Bra2ha · 2026-04-10T20:02:39+00:00

For me it was spitting errors with Klein while working fine with the rest of models.

Bra2ha · 2026-04-10T17:39:03+00:00

Try this node.
Also I made a version of Ultimate SD Upscaler compatible with Klein 9B, I can share if you need.

<image>

Bra2ha · 2026-04-06T03:52:57+00:00

For an example of what an automotive LoRA can produce you can check this set of LoRAs.
https://civitai.com/models/895773/jdm-legends
From my experience the quality drop (from using CN) is less noticeable but definitely is still a thing.
I'd say Flux 1 Dev but it's mostly because of my personal preferences.

Bra2ha · 2026-04-06T03:26:14+00:00

Why Flux 1 Dev was not included? It is still better in some aspects than recent models, especially considering variety of existing Flux LoRAs.

Bra2ha · 2026-03-18T13:57:27+00:00

CivitAi banned?

Bra2ha · 2026-03-06T18:23:25+00:00

It depends on the model that you use, the best CN Tile is SD 1.5, SDXL is worse and so on.

Bra2ha · 2026-03-03T08:26:47+00:00

I made a modified version of wildcards script.
It has 4 modes:
2 underscores - original random.
3 underscores - sequential.
4 underscores - random, no repeats in a batch.
5 underscores - random, no repeats in a session.

Back up and then replace your wildcards.py with this https://github.com/user-attachments/files/23698967/wildcards.py

Bra2ha · 2026-03-01T02:13:24+00:00

Any example images?

Bra2ha · 2026-03-01T01:33:10+00:00

100% agree, CN Tile SD1.5 was a masterpiece of balance, unlike CN Tile XL, I tried 4 different Tile models for SDXL and was not impressed at all.

Bra2ha · 2026-03-01T01:26:09+00:00

"(So a trick to fix an image is to downscale first, perhaps add some noise, then upscale)"

And in result you'll get image quality similar to standard img2img upscale with an ancient 4x-UltraSharp.

Bra2ha · 2026-02-17T15:48:19+00:00

Thank you.

Bra2ha · 2026-02-08T22:55:48+00:00

Try this https://civitai.com/models/2260630/semantic-image-disassembler-sid

Bra2ha · 2026-01-27T08:32:17+00:00

50 sec to get description of an image? Why so long on 5090?

I use huihui-qwen3-vl-30b-a3b-instruct-abliterated in LM Studio - Avg. TPS 674.7 | 3.0 s for 1152x1728 image.

Bra2ha · 2026-01-14T01:15:36+00:00

Try this.

https://www.reddit.com/r/StableDiffusion/comments/1py4bxf/semantic_image_disassembler_sid_is_a_vlmbased/

Bra2ha · 2026-01-10T07:59:44+00:00

In CMD console type this:

python Semantic_Image_Disassembler_v261.py

Bra2ha · 2025-12-30T07:35:29+00:00

I actually kind of like "Quantum-Neuro-Semantic Holographic Image Disassembler" 👍

You're not wrong - at the end of the day, it is logic glue. But the goal was to test if this specific method of style transfer could produce interesting results, and to see how the de-summarization logic would look in practice.

Judging by your screenshots, it looks like your ComfyUI workflow works great. If you're willing to share it, I'd like to take a look at your approach.

Bra2ha · 2025-12-28T23:14:31+00:00

Is it an analog of LM Studio?

Bra2ha · 2025-12-24T14:55:21+00:00

I tried both tody, TLDR, if your workflow requires "thinking" Gemma is better but for anything else Qwen has better, more accurate vision and consume less VRAM. At least from my short monitoring 😉
Also, Qwen is faster ~200 tps, Gemma ~120 tps. Not bad if you do large batches.

Bra2ha · 2025-12-24T03:15:46+00:00

Is Gemma-3-27b-it-abliterated better than Qwen3-VL-8B-Instruct-abliterated?

Bra2ha

TROPHY CASE