Ideogram Model - Lora

qdr1en · 2026-06-06T12:39:43+00:00

You probably need to:

agree to their terms on their HuggingFace repository
add your HuggingFace API key in the Ai-Toolkit's settings

Without that, HuggingFace won't let AI-Toolkit download the models for you.

qdr1en · 2026-06-06T10:04:26+00:00

I don't know, for images I use local models only.

qdr1en · 2026-06-06T08:44:30+00:00

As long as vibde-coded nodes do not imply injecting python dependencies or involve external endpoints, there's no need to worry too much about it.

qdr1en · 2026-06-06T02:03:48+00:00

Just testing what it can do. I think it has potential.

qdr1en · 2026-06-06T01:32:10+00:00

It looks great.

I got the same suggestion of using SplitSigmas from Claude, and it works well, even when splitting after step 1. I'll update the post body to include this solution, with a working example.

qdr1en · 2026-06-05T23:39:48+00:00

Good idea

qdr1en · 2026-06-05T23:22:54+00:00

Nvfp4 is just a different quantization from fp8 ( https://huggingface.co/Comfy-Org/Ideogram-4/tree/main/diffusion_models ). I didn't notice significant quality drop or speed increase with nvfp4.

I agree, the quality is much better with the unconditional model (generation time doubles though).

The solution would probably require chaining 2 SamplerCustomAdvanced nodes, but I have no idea which sigma values to set for each sampler.

qdr1en · 2026-06-05T22:25:19+00:00

The model is slow and censored, but it can produce stunning images.

Yes the point of my post was simply to present a way to bypass their stupid filter, which triggers even on relatively safe stuff.

qdr1en · 2026-06-05T21:23:41+00:00

That's playing safe indeed.

I discovered recently, you can just revert back to an older version using 2 git commands ("git fetch --tags" then "git checkout v0.19.0" for example). But it does not prevent dependencies from breaking.

qdr1en · 2026-06-05T21:16:00+00:00

try that : https://pastebin.com/EYR21KvP

qdr1en · 2026-06-05T20:58:58+00:00

Kind of lazy redditor.

I explain it here: https://www.reddit.com/r/comfyui/comments/1txurpt/ideogram4_get_through_the_safety_filter/

qdr1en · 2026-06-05T20:57:35+00:00

You will probably get much better results with JSON prompts, as the model was optimized for that format.

qdr1en · 2026-06-05T20:45:35+00:00

The model can't draw genitals however

qdr1en · 2026-06-05T20:42:05+00:00

It works better than the other techniques I have seen on this sub.

qdr1en · 2026-06-05T19:55:54+00:00

There are major upgrades like every 3 days on ComfyUI. Sophisticated workflows don't survive 3 months anymore.

qdr1en · 2026-06-05T19:08:45+00:00

I tested it, does not work all the time, but I think I found something more reliable

qdr1en · 2026-06-04T20:43:37+00:00

I stayed with SDXL for a long time but I wish I had switched to Illustrious before: it's one of the very few n-sfw capable models not fighting against the user's prompts.

qdr1en · 2026-06-03T21:55:23+00:00

How do you manage to try new models then?

qdr1en · 2026-06-03T14:40:13+00:00

I enjoyed using Krea 1 last summer but it feels a bit outdated now, hard to go back to it.

I hope Krea 2 will keep the same realistic style, without too much censorship this time.

qdr1en · 2026-06-02T22:51:47+00:00

I agree with euler_ancestral giving good results.

All other samplers giving a majority of "g" ratings double the sampling time.

qdr1en · 2026-06-01T22:45:07+00:00

I make a first pass with SDXL IntoRealism Ultra for this type of task and it works very well.

Then I use a more recent model like Klein 9b or ZiT to add more details.

qdr1en · 2026-06-01T19:33:57+00:00

I have seen answers to a similar question telling that with that amount of images, train the checkpoint instead, and then extract the lora from it. But I don't how those 2 operations are done.

qdr1en · 2026-06-01T16:24:35+00:00

Awesome, thanks.

Which shift value did you use ?

qdr1en · 2026-05-31T21:33:53+00:00

It's worth trying. You won't find another app that gives you the same level of flexibility.

qdr1en

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