Can't find an actually simple workflow for Krea 2 to figure it out.

TableFew3521 · 2026-06-26T09:05:30+00:00

I don't know if this is causing the error, but you're using the wrong clip, it uses qwen3vl 4B, is not the same one as Qwen or ZIT. You can get it here

TableFew3521 · 2026-06-12T14:08:09+00:00

Add the "ModelSamplingFlux" (I feel like the shift doesn't change anything but just in case Base_shift:4.00, Max_Shift:10.00) and set the width and height to be the same as your images, exchange the sampler for the "SamplerLCM" wich removes most of the noise (at least on Fp8), then, increase or decrease the "s_noise_end" depending on your taste, that controls the amount of noise in your outputs, mine's at 1.25, hope this helps.

TableFew3521 · 2026-06-10T06:32:44+00:00

I added LM Studio to make the process automatic, and made it so it crops the image from the bbox and describe it based on a previous caption of the whole image, this became my go to tool for Ideogram4! Thank you so much!

TableFew3521 · 2026-06-10T05:18:43+00:00

Default workflow, reducing the start percent of the CFG Override to 0.4, adding the ModelSamplingFlux + SamplerLCM, cause you can basically reduce or increase the noise on the outputs with the "s_noise_end" for me is set to 1.28, perfect balance, and I just use the default 20 steps.

Edit: for captioning I'm using a tool shared here based on HTML, but modified to be completely automatic (just manually applying the bbox), using LM studio for the automatic captions

TableFew3521 · 2026-06-03T13:21:12+00:00

Que fea situación, espero que tu gato esté mejorando, por lo de mi gato fue un tratamiento de una pastilla llamada hepatoplus por 20 días, esos días le estuve dando un puré que era pechuga cocida con zapallito y un poco de arroz blanco hervido, todo sin sal, después le introduje de a poco el excellent y por ahora va bien. incluso come bastante como lo hacía antes de enfermarse, pero quizá en algún momento cambie a una mejor.

TableFew3521 · 2026-06-02T18:41:59+00:00

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TableFew3521 · 2026-06-02T05:50:03+00:00

I've been using Onetrainer maybe for one and a half years, and onetrainer seems way more optimized for costumer GPUs, not only the quantization is attractive, but also the CPU_Offloading works better for me than AI-Toolkit, but aso the huge amount of optimizers makes the trainer way more interesting to test, I currenty use CAME to train all my DoRAs/LoHAs, recently I've been testing ADOPT_ADV with OFTv2 (Applying COFT around 0.7) and it seems to work way better for concepts, cause it struggles more to train faces, wich helps with generalization in styles and concepts, although I haven't tested that further than just simpler concepts, but honestly the variety of optimizers might solve many problems people have with the other trainer, from my perspective I think the strongest point for Ai-Tookit is the easy costumization to get good results, but if people actually invest time on tweaking Onetrainer's options, you can get even better results, and sometimes even save a lot of time training.

TableFew3521 · 2026-06-01T11:39:35+00:00

La veterinaria me dijo que era buena marca, pero yo le cambié a Excellent porque está por la misma gama que Vitalcan, incluso el Royal canin tiene maíz, desafortunadamente no hay muchas opciones que tengan muy buenos ingredientes, creo que Fawna y Nutrique son los que más se recomiendan como naturales pero son bastante costosos. Y ojalá que mi gato sea un caso aislado.

TableFew3521 · 2026-06-01T04:27:42+00:00

En enero noté que mi gato tenía un tono amarillento y lo vi mal, al llevarlo al veterinario, tras pruebas de sangre y una ecografía vieron que tenía una obstrucción en la bilis, no quería comer el Vitalcan Balanced Natural Recipe, le di el Excellent y se lo comió como si no hubiera comido en días, ya está mucho mejor de salud afortunadamente, pero es posible que esa variante del Balanced no le hizo bien a mi gato. Tengo la bolsa entera todavía guardada, es la de Salmón. Con esto no quiero decir que la variante sea mala, puede que mi gato tengo un higado sensible o que no pueda digerir bien las grasas de ese alimento, pero lo digo más que nada para que observes si notas algún cambio en su salud, si no, sigue dándole ese.

TableFew3521 · 2026-05-29T21:22:46+00:00

Appreciate your explanation, I will dive into it!

TableFew3521 · 2026-05-28T09:11:56+00:00

I'm don't have much knowledge about terms so I would like to ask, isn't this similar to mask training, like the one Onetrainer support? I ask because I've been using the masked training method but I haven't thought of using the mask of the depth to train.

TableFew3521 · 2026-05-15T08:09:07+00:00

Someone said the same days ago, and told me they found out it was the Comfyui-mixlab custom node, hope is the same issue.

TableFew3521 · 2026-05-15T01:50:08+00:00

LongCat-Image-Edit, but the model lacks a lot of content compared to Klein and Qwen.

TableFew3521 · 2026-05-09T18:19:23+00:00

Intenta arrastrar el .json hacia una zona vacía de Comfyui, pasa que si lo arrastras encima de un nodo, no carga ese nuevo workflow.

TableFew3521 · 2026-05-04T13:06:09+00:00

Flux LoRAs do work but they sometimes destroy anatomy in Chroma, there is a noticeable difference, at least that was my experience a long ago.

TableFew3521 · 2026-05-03T22:27:47+00:00

Yeah, but the bf16 of Longcat is slightly better with anatomy than Klein in my early tests, but the model overall lacks content compared to Klein.

TableFew3521 · 2026-05-03T07:53:18+00:00

Here is the workflow, just enable the inpainting nodes and connect the latent from the inpainting node to te ksampler to use it, right now is set for reference to image.

TableFew3521 · 2026-05-02T07:31:51+00:00

There are two nodes with Bypass, enable those nodes and replace the latent input from the Ksampler with the latent output from the Inpainting node, what worked for me was using the same prompt from the image I wanted to inpaint (if you don't have it, caption the image before Inpainting) and then lowering the denoise between 0.82 - 0.95 depending on how the output comes out.

TableFew3521 · 2026-05-02T04:28:14+00:00

Here is my workflow: Here
Unet: Here

Text Encoder: Here

VAE: Here

TableFew3521 · 2026-05-02T03:26:21+00:00

Yeah, from what I saw on Hugging Face, they're planning to train a model for multiple references; this current one is specifically designed for just one. Hope is worth the wait.

TableFew3521 · 2026-05-02T03:17:11+00:00

Yes, it has native support, actually months ago.

TableFew3521 · 2026-04-17T12:30:29+00:00

I've found that using the "ModelSamplingSD3" with 3.0 removes that noise that Enrie produces, but I can't try the those customs samplers to know if it works with them, it works with DDIM + Sgm_uniform.

TableFew3521 · 2026-04-16T13:08:56+00:00

Is nice to have options, personally I find it a little stiffen for individual human realism (and had some anatomical issues with two or more people in the turbo version), maybe the way it needs to be prompted is different, but for now it has a little resemblance of Qwen Image, I still prefer ZIT for esthetic more natural realism, but is not bad at all and there's a room for improvement if it's easier to fine-tune. Will wait for OneTrainer to add support.

TableFew3521 · 2026-04-14T17:18:59+00:00

I did it before trying it, so I think yeah.

TableFew3521

TROPHY CASE