Ceo of bfl, last time I remember him posting the bird was right before F2dev released

tried making 4 30 second video using minmax H3 turbo mode switched on it generator videos much faster and the correct people are saying the correct lines and nor sometimes talking gibberish in bits of the video

is there a way to fix this when i turn turbo mode off because without turbo mode on the people look better in the video just sometime audio is bad

Was it a fake article? There were about 300 comments saying it's releasing tonight. I'm still excited for it and flux 3 if they get released this year os of course.

I have a lenovo v15 g4 with these specs

• Processor (CPU): AMD Athlon Silver 7120U, AMD Athlon Gold 7220U, AMD Ryzen 3 7320U, or AMD Ryzen 5 7520U (up to 4 cores, 8 threads, and 4.3GHz boost)

• Graphics (GPU): Integrated AMD Radeon 610M Graphics

• Memory (RAM): 8GB or 16GB LPDDR5-5500 soldered (dual-channel, not upgradable)

Is there any image to image model compatible with comfyui that I can use to make anime version of a real person or photo?

I'm using ComfyUI with Krea 2 RAW and an identity LoRA. I'm looking for the best realism LoRAs that make AI-generated images look almost indistinguishable from real photographs, especially realistic skin texture, visible pores, fine facial details, natural lighting, and realistic fabric texture.

Which realism LoRAs do you recommend, and what model architectures do they work best with? I'd especially appreciate recommendations that improve realism without making skin look plastic or changing my model's facial identity.

Please share the LoRA names, links, and recommended weights if possible.

default comfyui workflow was used.

https://huggingface.co/black-forest-labs/flux-3-image-klein-comfy

First Image: Source Image

Second Image = Flux 3
Third Image = Krea 2 + Community Edit lora

As you see Flux 3 sucks :)

Prompt :

1. Prompt was make her lay on the floor

https://huggingface.co/conradlocke/krea2-identity-edit That is the lora

These aren't cherry picked, mostly because each one took about 12 minutes on my 4060ti 16GB VRAM.

That is my setup, with 128gb system ram. Using comfyui, surprised myself I was even able to get that installed. I’m such a novice, no programming/script writing training. This is not a job or a career, just a hobby. I like to click buttons for easy installation. I still find GitHub confusing to use; I’m over here looking for a big bright download button. And I prefer not to move stuff into folders or open cmd window and type in stuff that could frankly be hieroglyphics for all I’m concerned. I want it to go where it’s supposed to go right away. So that’s my background.

So my question is: is anyone using a 16gb 7800xt card? Not a 24gb 7900xtx, not an Nvidia card(in hindsight I should have gotten at least a 4090 when I was building my pc back in ‘23). My videos from image as a first frame takes forever. Literally , a one megapixel 15 second widescreen video will take half a day if not more; that’s 12 hours. I’m just using the default minimax img to vid template. I need the megapixel because I want to retain the details, I feel like upscaling will not do such a good job, I need the faces to be recognizable(I’ve never used upscaling btw). People keep telling me about turbo mode, I turn it on but it makes no difference. Am I missing something? Also just added the words workflow into my vocabulary; so there’s that.

stop hate flux 3 klein, the model are very awesome with increible quality.
but the problem is, if detect is NSF... prompt/generate it will decreate the quality too much.
we just need to wait the loras and ablitered text encoders 😌👌

Are we not getting Flux3 Image DEV this time?

How can I remove the text from this video using Minimax H3?

I could remove the text from an image frame easily using qwen edit 2.1, I guess I can try extract all frames and place in a folder and use the bulk image loader node and use qwen edit to remove text and then stitch them back (not sure how those frames can turn out) but my question is how can I remove it using Minimax H3?

Workflow will be much appreciated by my lazy a**!

Damn 3 minutes limit !

Fast forward to 3:23 to see the craziness in the bottom video.

Yesterday I made a post about an experiment I was doing trying to fix degrading latents.

https://www.reddit.com/r/StableDiffusion/comments/1x54q07/i_swore_at_claude_until_he_made_a_nodegroup_that/

The above is 19 clips chained together using a normal latent chain and my Pull Forward Node and u/xyzdist 's resample method to attempt to fight degrading latents.

Here's how I explained it to u/ShutUpYoureWrong_ , certified official nice guy of reddit.

so the idea i had was that the pixels in motion are not degrading as fast, the static pixels are the ones degrading quickly and i hypothesized that minimax, being as smart as it is, basically takes the degrading pixels in the background and degrades the moving ones to keep the image consistent.

i have no idea if this is true, it's just a thought that gave me a direction to work in.

i'm not actually targetting the background, if i was i could just use sam. I'm targetting motion. I'm avoiding the in motion pixels and replacing and repairing the static ones.

My theory was that if i maintain the static ones the whole image would stop degrading or at least degrade more slowly.

the background focus in these is because u/xyzdist created a method of using FL2V to resample and essentially wash away degraded pixels but his problem was the background kept changing.

so i saw this and i thought we were unwittingly creating complimentary halves of the same solution and if i use latent masking to protect the repaired background with the motion mask, his method can resample the rest of the pixels and give give the context motion a fresh and clean latent to work off of.

The concept works. You'll see in the videos that much of the background area is avoiding degradation, but because of the way Latent Space works I do not think there's a way I can do this without decoding and re-encoding the latents at least once which is my next step.

HOWEVER!!!

Something RIDICULOUS happened in the final version of what I trying to do and I honestly have no way to explain it other than my theory above must be correct and I feel the latents, because of pull forward, were stretched so far between quality of the degradation and the pull forward that around 3:23 they suddenly SNAP BACK TO ALMOST FULL PERFECT QUALITY LIKE A RUBBER BAND!

This is not editing. This is literally straight from my exports.

I'll be releasing the github very soon so you all can hopefully replicate it.

I have absolutely no idea why that happens, it seems like it doesn't know how to do Japanese blonde people with blue eyes. It gives me the most North European person ever lol.

Prompt 1: A 30-year-old Japanese girl with naturally tousled blonde hair cascading over her shoulders and striking, vivid blue eyes gazing directly at the viewer with a calm, serene expression; soft, diffused daylight illuminates her face from the front, highlighting subtle skin tones and natural facial features without harsh shadows; she stands centered in a minimalist, clean white studio space with no distracting background elements, creating an intimate, portrait-focused composition; her posture is relaxed yet poised, hands gently resting at her sides, wearing simple, neutral-toned clothing that complements her natural beauty without drawing attention away from her face; the image rendered as a high-resolution photograph with shallow depth of field, emphasizing sharp focus on her eyes and hair while softly blurring the background to enhance emotional connection and visual clarity.

Prompt 2: A 30-year-old Japanese guy with naturally tousled blonde hair cascading over his shoulders and striking, vivid blue eyes gazing directly at the viewer with a calm, serene expression; soft, diffused daylight illuminates his face from the front, highlighting subtle skin tones and natural facial features without harsh shadows; he stands centered in a minimalist, clean white studio space with no distracting background elements, creating an intimate, portrait-focused composition; his posture is relaxed yet poised, hands gently resting at his sides, wearing simple, neutral-toned clothing that complements his natural beauty without drawing attention away from his face; the image rendered as a high-resolution photograph with shallow depth of field, emphasizing sharp focus on her eyes and hair while softly blurring the background to enhance emotional connection and visual clarity.

I posted this in comfy and thought it could be useful here too.

If you've chained H3 clips into a longer video, you've probably seen it: every continuation copies the last clip's flaws and adds a few more. By clip 5–10, faces look crunchy, etched and over-sharpened.
I spent the last few weeks (with a community compute grant) training a LoRA that fixes this. You load it on your continuation clips only, not the first one, and they stay close to the look of clip 1.

Results over ~37 s chains (face texture change, clip 1 → clip 10):
lightx2v 8-step: +44% → 0%
HyperFlow: +25% → −1%
a model it was never trained on: +61% → +4%
Larry Turbo: +261% → −5% (it can soften the image on heavy burners like this)

How to use: LoraLoaderModelOnly on the model for your continuation clips. Start at 0.5, go higher for turbos that burn harder, lower if faces go soft.

Weights + before/after examples: https://huggingface.co/Imagineer13/H3-Anti-Burn-LoRA

Training code, recorder node, scoring script, write-up: https://github.com/TryingSomeStuff13/ai-toolkit/tree/h3-antiburn/extensions_built_in/diffusion_models/minimax_h3/antiburn

Happy to answer questions. I'd love to hear how it does on other turbos

Open source is fantastic, the freedom and all that... but we rely on proprietary hardware, and consumer hardware is becoming too expensive due to production constraints, the fact that companies are diverting funds to DC and hyperscalers, and AI farms are buying consumer GPUs in bulk.

Unfortunately, running increasingly large models will be a privilege reserved for a select group of people, and as hardware becomes obsolete/dies, that number will decrease.

Corporations can release revolutionary open-source models while simultaneously doubling or tripling the size of their proprietary models, driving up the purchase of even more memory and silicon production capacity, and all we can do is watch in disbelief.

Androids are going to require even more memory, cars, and so on...

Unless a revolutionary memory technology with much better bit-per-area density on silicon becomes available and is ready for mass production, or regulators remember that antitrust laws are meant to protect people step in, I don't see a solution.

Guys,

It took me a while but I finally managed to do my retouching studio for H3.

I combined a lot of existing techniques and others retouched enough to make it work.

The results are pretty cool!

In the order of the video:

Add an item with image ref

Add an element without ref just text

Change performance (raise your arm)

Change decor

Change camera angle

Change character

Delete character

Change element (green hair)

And the last my favorite: change element not recognized by Sam (pixel tracking) with an image ref

My miniscule experience (started 3 weeks ago):
Learnt little editing in invokeAI canvas (inpainting - destroying and creating new pixels, outpainting - fill out cropped images like hairbun/stretch background scenery, make more room for extra character, objects etc). Yet to learn controlnet, ipadapter, image to image generation etc

Generated 2000+ images, got rough idea about danbooru tags the use of ++, style prompts(anime), year prompts, order of tag priority but advanced tagging using brackets, paranthesis weightage are beyond my experience so used AI to generate a long list of prompts to fix things I wanted to add or remove. A lot of rng to get some decent images, some silliness like cat ears, donkey ears, blonde hair still persist even after adding those respective tags in negative prompt

Generated custom lora (total 2 attempts raised epoch steps to 50 in 2nd attempt instead of 10). Used AI guided recommended settings like rank,alpha,removing tags which should be permanent lora features - used 39 images of varying zoom, background, angle, pose etc (some included generic faceless male character but those images were tagged 1boy or 1male so it shouldnt matter i think?)

Current apprehensions/confusions:

Pose accuracy especially with multiple character lora, bleeding into other character/background, missing/extra fingers - Will I be able to avoid these issues with control net?

Character consistency outside vertical character sprites - Particularly CG images of character, will it be consistent enough? Did i mess up my custom lora?

Danbooru prompt mess vs natural language prompt:

Newer models generate anime movie level quality images with details natural language prompt but will I be able to replicate wai illustrious 2010-2015 era style anime?

I am aware some of them heavily lean towards realism like flux but I also see the potential. Is there some other model or style modifiers you recommend to add with base model to replicate wai illustrious version 14

My biggest issues so far are : extra/missing fingers, character consistency even with custom lora, editing workaround (due to my inexperience), danbooru vs natural language prompt, pose accuracy, bleeding in wai illustrious

Newer models that use natural prompt - Tend to produce shiny plastic skin (which gets really pronounced on my oled monitor), hard or near impossible to replicate wai illustrious 2d flat cel shaded sharp line art anime style

TLDR : wai illustrious consistency worries, seeking alternative model with natural prompt instead of danbooru that can replicate flat 2d images like illustrious. I mostly followed AI based advice, read some of the basics (invoke tutorial page)

P.S - The vertical sprite images were created with a resolution of 896x1152 which is not yet upscaled to 1.5x to be fitted in dialogic 2/godot 4 engine under 1920x1080 project. Sorry if my inexperienced questions annoys you but I need guidance from you experienced lot. My system in 4090 rtx, 9800x3d and ddr5 64gb ram 6000 MTS (not sure if ram matters for image generation compared to 24gb vram).

Allocated 20gb vram dedicated for invoke, remaining to keep explorer up and avoid OOM crash. Its gone now after doing some fixes like changing page file to the ssd drive i am running invoke on and changing vae to fp32 from fp16. Mostly following recommended steps,cfg values and using only dpm++2m karras or euler ancestral. Custom lora weight around 0.7-0.85. Removed custom lora and other prompts small edits, confine bounding box to inpaint region.

The 16th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMusArt 2027) is accepting paper submissions.

When: 31 March – 2 April 2027
Where: Mainz, Germany
Paper Submission deadline: 1 November 2026

EvoMUSART focuses on AI and computational approaches to creativity, covering a broad range of topics, with a particular emphasis on research exploring how AI systems generate, support, evaluate, interpret, and collaborate in creative processes.

Accepted papers will be presented at the conference and published in a dedicated LNCS volume.

More information/submission details: https://www.evostar.org/2027/evomusart/

If you are working at the intersection of AI and creative practice, this may be relevant to your research. Please share with others who might be interested.

Hey everyone, I've been looking for ways to turn my AI-generated anime images into short animations, like 3–5 second clips or GIFs.

I've seen a lot of stuff about Wan, LTX, Hunyuan, and ComfyUI workflows, but I'm wondering if there are any simpler alternatives out there. My PC isn't exactly great for AI stuff, so running heavy models locally isn't really an option. I'm totally fine with using cloud-based tools or paying a bit for generations, as long as the quality is decent and the pricing isn't crazy.

I'm mainly running a patreon and working with anime-style illustrations, including adult content featuring adult characters, so I'd need something that actually supports that. I've seen some patreon accounts posting hundreds of these small vids everyday, and I doubt they all use a WAN workflow (I guess).

Not looking for anything super complicated, just a way to add some decent motion to existing adult Anime images without spending hours messing around with workflows.

Anyone here doing something similar? What tools are you guys using?

Would love to hear some recommendations If possible.

flux3_image_klein_sd_int8_convrot

qwen3vl_4b_int8_convrot

flux2-vae

I don't like its t2i ... but have slight hope on editing ... if a lot of loras come up ... ? ?

A simple, random comparison... just for fun.

I can provide the prompt for the first image: A Western man sitting on the beach, building a house of cards atop a purple flag that bears the inscription "Krea 3" in red.

Krea 3 understands subtle nuances of facial expression, such as biting the lower lip, better than other models, but it can also generate unsettling images from simple prompts, all the more so because these images appear realistic.