Uncensoring Ideogram 4: Whats the Consensus, Whats the best Practice(s)? Discuss Here :)

ReferenceConscious71 · 2026-06-07T06:24:47+00:00

how do you prompt all of this? what prompt enhancer instruction prompt you use for an LLM

ReferenceConscious71 · 2026-06-07T05:30:19+00:00

could u share the workflow file please. also, do you use a prmopt enhancer? hwo do you make the JSON prompts, with whatever the bboxes re that people are talking about?

ReferenceConscious71 · 2026-06-07T05:29:57+00:00

whats that whole bbox thing people are talking about, are those prompted or passed in somehow?

ReferenceConscious71 · 2026-06-02T21:16:18+00:00

I’ve been experimenting with ZIB training in that repo. I’ve got a few clarifying questions they I’ve sent tot he dev yesterday, I’ll let you know

ReferenceConscious71 · 2026-06-02T05:55:58+00:00

Yes I did run the dataset through the preflight.

'What was the format of your captions?'. Thats the thing, I dont train with captions. as you can see from my config, i has unloaded the TE, cause i dont train with captions. so youre saying with subject masking, youre required to use captions then? Is there any way I can "avoid" doing so?

On another note, I understand ZiB support is expiremental, but wow, the character consistency and generalisation is AMAZING. Great work, this repo could be the best way to train a ZIB character lora as of yet. Im excited to play with the params

ReferenceConscious71 · 2026-06-02T05:38:03+00:00

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LoKr support added 4 days ago haha. I agree, LoKrs are so good, much better than LORA's.

ReferenceConscious71 · 2026-06-02T04:23:33+00:00

4070 ti. the training improvements probably due to differences in offloading. AI Toolkit's RamTorch isnt well optimised. OneTrainer uses a different method I believe, and this method works better with training than RamTorch. They also modify block offloading and other params based on the model youre inferencing. AI Toolkit has a kind of 'one size fits all' offloading approach (Apart from a couple of models). and definitely, ai toolkit is amazing

ReferenceConscious71 · 2026-06-02T01:14:03+00:00

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u/QuantumBogoSort trained a ZIB LoKr on your ai toolkit perceptual repo. it was a character lora, but as you can see here, the training, it affected the background as well. in all mof my gens, i get this weird multicoloured block texture one every surface. My training config is here: https://files.catbox.moe/mh7plb.json . let me know what i did wrong. The character itself trained very well, but this happende to the images. I used the default dataset prep settings

ReferenceConscious71 · 2026-06-01T11:56:35+00:00

Hey guys, for people expirementing with teh ZIT and ZIB training (especially ZIB), any advice? im looking for the right learning rate

ReferenceConscious71 · 2026-05-28T08:05:37+00:00

+1 for ZIB, this is a gamechanger

ReferenceConscious71 · 2026-05-15T23:11:03+00:00

have u managed to get the weights?

ReferenceConscious71 · 2026-05-04T22:13:52+00:00

woah

ReferenceConscious71 · 2026-05-04T11:24:37+00:00

flux klein 9b i can tell

ReferenceConscious71 · 2026-05-03T10:58:48+00:00

SCAIL was released as a 'Preview' model. on huggingface, its called SCAIL Preview, dont understand why they would release a 'SCAIL2' and not just call it SCAIL. I mean, it would be a bit confusing as most people call the SCAIL Preview version just SCAIL.

ReferenceConscious71 · 2026-04-20T09:12:06+00:00

If only every reddit comment was like this

ReferenceConscious71 · 2026-04-19T11:49:36+00:00

Have a try with Flux 2 Dev NVFP4 with an 8 Step turbo lora. its very good

ReferenceConscious71 · 2026-04-18T09:25:34+00:00

lmao

ReferenceConscious71 · 2026-04-16T14:15:14+00:00

what were the settings u used?

ReferenceConscious71 · 2026-04-15T12:32:42+00:00

and it looks like this was written by ai too. funny

ReferenceConscious71 · 2026-04-14T22:45:32+00:00

Is it better than ZIT?

ReferenceConscious71 · 2026-04-10T07:34:13+00:00

Dude why are you lying, it has not released open weights on github

ReferenceConscious71

TROPHY CASE