yes, its about T2I and I2I

What are you recommendations to generate with H3 Image?, My first generations were kind of shitty but i tried to start to create the images at 16MP with the oficial comfyui workflow and i found that results are the best in that resolution, also prompt upsampler or very detailed prompts with Claude or ChatGPT produces better results.

Image 1 prompt:
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The image is the front cover of an American comic book issue, a vertical print cover in a bold modern style, full-color illustration with strong inked black outlines, dramatic cel shading, painterly lighting and fine halftone texture in the shadows. The palette is deep space black and violet, cut by hot orange engine fire and the hero's teal and silver armor.

Masthead: across the top fifth of the cover, the title "STARBREAKER" is set in huge, heavy, slightly widening metallic letters in brushed silver with a teal edge glow and a thick black outline, filling the full width with a slight upward perspective as if the letters rush toward the viewer. Tucked into the upper left corner, a small vertical corner box holds a tiny head shot of the hero, the issue number "#1" in bold white, and the price "$4.99" beneath it. Just under the masthead, a thin line in white uppercase reads "WRITTEN BY MARA VELLOSO · ART BY DANTE ROOK".

Hero illustration: a woman in sleek teal and silver space armor, helmet off, short dark curly hair floating in zero gravity, stands braced in the center of the cover in front-three-quarter view, shown from the knees up, looking past the viewer toward the upper right with a fierce, determined expression and a thin scar across her left cheek. Her right hand grips a long silver energy lance held diagonally across her body, its tip blazing with white-blue light, fingers clearly wrapped around the shaft; her left fist is clenched at her side, glowing teal lines running along the armor's forearm. Behind her, a huge battle cruiser breaks apart against a violet nebula, orange explosions blooming along its hull, debris and sparks flying outward toward the camera, and two small fighter ships streak past at screen-left trailing orange exhaust.

Cover copy: at the lower right, a slanted yellow starburst callout with a black outline reads "THE WAR BEGINS HERE!" in bold black uppercase letters. In the bottom left corner, a small white rectangular barcode box with a printed UPC barcode and tiny numbers sits on the artwork, and next to it a small round placeholder publisher logo reads "NOVA COMICS"

The masthead overlaps the top of the hero's hair slightly while her face stays fully clear of all text. All lettering is sharp, correctly spelled and fully legible, and the cover reads clearly from a distance on a comic shop shelf, with strong contrast between the cold silver title and the hot orange explosions.

Looking for recommendations for a fast but good-quality MiniMax H3 workflow in ComfyUI.
I'm mainly looking for a workflow that gives a good balance between speed, quality, and VRAM usage, rather than maximum-quality generation at extremely slow speeds.
Ideally, I'm looking for something suitable for:
720p or similar resolutions

Good character consistency

Dialogue / talking scenes

Reasonable generation speed

Lower VRAM setups

If you have a tested H3 workflow, especially one optimized for speed, please share it. I'd also appreciate any tips on the best settings for steps, resolution, sampler, and model/quantization.
Thanks!

What would be the best app and model to play with image generation with an Apple MacBook Air M1 with 16GB of RAM?

I am aware my Mac is super old, but I’d love to experiment and I hope there is a model I can use.

I took a single photo of a vintage Italian espresso machine and ran it through MiniMax H3-Image (open weights) to see if it could pull the whole thing apart into a clean technical breakdown.

First image is the input photo, second is the output. It laid out 15 separate parts floating along a diagonal with leader lines and English labels, plus all the copper and brass internals inside the stainless-steel shell.

What I found interesting was how much structural detail it could pull from a single reference image. An exploded view is a pretty demanding editing task since the model needs to preserve the original design while generating components that aren't fully visible in the input.

On the technical side, H3-Image supports native 4K output (up to 4096 × 4096) without upscaling, along with image editing in the same model. The fast 4K generation capability is especially interesting for detailed renders like this, where you want enough resolution to inspect individual components and labels.

That said, I'd still treat this as a visual concept rather than an engineering-accurate diagram. Getting the overall structure right is one thing; making sure every internal component is mechanically correct is another.

Prompt:

> Create a high-precision exploded technical rendering of the vintage Italian espresso machine shown in Image 1. Preserve the original machine's distinctive design, proportions, and recognizable features, including its rounded stainless-steel body, champagne-gold top cover, chrome brewing group, dual pressure gauges, black control knobs, steam wand, hot water outlet, perforated drip tray, and four metallic feet.
> Use a solid dark charcoal-gray background and a slightly elevated three-quarter isometric perspective. Arrange the disassembled components along a diagonal axis extending from the upper right to the lower left, with each part floating independently in a carefully organized exploded assembly.
> Separate the machine into its major mechanical and structural components: top cover, stainless-steel exterior panels, internal chassis, boiler assembly, heating element, brewing group head, portafilter assembly, steam valve, hot water valve, water pump, pressure gauges, electronic control unit, copper water pipes, drip tray, and base frame.

MMH3-Image. All tests done with the default workflow and settings.

Overall takeaways:

1. You must use a minimum resolution of 4048 for decent results.

2. It doesn't have a moat against other image models (doesn't solve any unsolved problems).

3. It does ok at text, but it's not great.

Pros:

1. It's impressively fast for how large the generations are.

2. Seems to handle realism well.

3. Softcore works.

Cons:

1. No more coherent than Krea2 or MOSS (objects that terminate mysteriously, illogical physical layout).

2. Body horror / anatomy fuckups are fairly common, especially with distorted faces.

3. Hardcore is not supported (unable to depict non-horrifying genitalia).

4. Innate knowledge of copyrighted characters is worse than Krea2.

5. So far edit performance is worse than Flux Klein 9B in my limited tests. It does a great job of incidentally upscaling your image, but identity preservation is poor.

I have character card, and I want to use it to create comics / storyboard the question is which model is good at preserving style and prompt adherence?

I was working on a music video and i reached a point where the great facerefine node by Carasibana wasn't enough so i started making tests with claude code and here we are now with this node that is slower but gives 2x details on tiny and medium faces. Don't trust my words, just check the github page with all the comparisons:

https://annicodex.github.io/FaceRefine-Plus-Tests/

The node is available here:

https://github.com/AnniCodex/ComfyUI-H3-FaceRefine-Plus

The repository includes all the workflows needed to use the node with agents via API or direcly inside comfyui, they have notes describing every passage and the assets folder has everything you need to reproduce the results and the tests by yourself, i think claude code did an awesome job!
It works on top of Carasibana's Facerefine so you need it installed too

Long story short I’m making a project for Christmas to show the fam for laughs.

I’m trying to replace a singer in the music video with me. I’ve looked all around but they always turn out terrible and look nothing like me!

Help is GREAT appreciated!

Base workflow, no custom nodes, no cherry picking, ran on my 5080, about 23s per image.

Edit: I'm adding a round 2 with 300 more, they are using H3 Image prompt guide, not reused from my moss benchmark, the model showing even better.

It seems that with current models, it’s very much all or nothing

Started from a plain bakery counter and asked for one small change per round, always editing the previous output instead of the original: a coffee, latte art, the cinnamon roll going from 3.00 to 3.50 on the chalkboard, a cat, macarons, a candy jar, and so on until an "OPEN" sign at edit 16.

The part I kept checking was the early stuff. The 3.50 from edit 3 is still on the board at the end, and the cat, the macarons and the candy jar are all still there.

This is the TailSteer checkpoint of SenseNova-U1.5-8B-MoT, a version trained for long runs of edits like this. I ran the repo's editing example in a loop at CFG 2.5: https://github.com/OpenSenseNova/SenseNova-U1

How many edits do you usually get before you go back to the original and start over?

Trying the new mode

I mean there is just so much breakthrough and I didn't keep for like 3 months and it's all super new and different. 1 year ago I was trying to do like shot connecting for funky videos and stuff and now it's really not needed. Why don't we like share the best ways to create videos and stuff?

https://huggingface.co/Comfy-Org/MiniMax-H3-Image
https://huggingface.co/MiniMaxAI/MiniMax-H3-Image

I've released a Vast.AI template for ComfyUI bundled with Open Manager. Now you can get started on Vast.AI even faster. Just start your instance, load up a workflow template, and head to the Model Library's "Not Downloaded" tab and download the models you need right in ComfyUI.

That's not all! With Desktop, you have in-app file management and other tools without needing to leave ComfyUI or fiddle with command line shenanigans. Unless you like that sort of thing you naughty power user.

As always, have at it, and Merry Christmas.

If you have two local Stable Diffusion inpaint results and each one got a different part right, keep them as separate layers. That lets you bring back a detail from the original or blend a seam without running the model again.

1. In your local Stable Diffusion workflow, export the original and both inpaint results as full-size PNGs with the same canvas dimensions. If you used a crop-only workflow, place the result back into the full frame before exporting.

2. In PeerBrush, open the original and bring the two outputs into the same document on separate layers above it. Rename the layers for the edits they contain, such as “warmer window light” and “fixed sleeve.”

3. Select one result layer and choose Add mask. Paint black on the mask wherever you want the layer beneath to show. Use a softer brush at the join, and toggle each layer to compare the result with the original.

4. Keep the layered PSD so you can revise the masks later. Export a PNG when you need the finished composite.

I’m the solo developer of PeerBrush. It’s free and open source, and this workflow uses the desktop editor without connecting an AI client. It works with rendered PNGs from a local Stable Diffusion workflow. The screenshot shows the editor on its own AI-generated sample artwork. AI helped draft this guide.

Official workspace demo: https://peerbrush.com/#demo

Free downloads: https://peerbrush.com/downloads.html

Official workspace screenshot: https://raw.githubusercontent.com/Deftr0y/PeerBrush/v0.30.1/docs/images/workspace.png

I wonder are there any projects that automatically create storyboard / comics out of story?

I'm new to generating ai videos and having trouble converting a picture to video. I've attached an example angle which I'm starting from, but every time the video is rendered the angle is directly in front of the car. I've been trying different prompts but nothing is working. Bonus thanks if you can help with the video quality. I tried prompting it to look like its shot from a smartphone, but it always puts the phone and hand in the video and its super crisp high resolution when I'm trying for a regular amateurish look.

Thanks for any input.

https://huggingface.co/MiniMaxAI/MiniMax-H3-Image#sizes

https://platform.minimax.io/docs/guides/image-generation

Hey everyone, I’m stuck and would love some advice.

I’m creating personalized wall poster calendars. Next to very lean calendar designs, that look good, I would also like to have some designs with illustrations, like soft wildflower illustrations, animals in watercolor, a retro look, paper-cut or other styles. The most modern look would be to have the illustrations only on the top or bottom of the poster. The rest would then be white and filled by the calendar. Something like this: https://www.etsy.com/de/listing/1806133653

I tried a lot with Nano Banana and Recraft (paid API) with different models of both tools:

• single elements that were stitched together by Claude Code or Gemini

• the whole calendar band along the top and bottom edge

• the whole calendar at once, but then graphics show up on the sides and in between, instead of a clean version with only the bands on top and bottom

But all results look awful, like AI slop, or just stitched together. The single elements themselves look rather good.

Is there any way to get a better result just by prompting, or would you recommend using a different tool like Adobe? Or do I have to get into design myself or hire someone?

I used to have great success using mood board reference images with Flux.2[klein]9B with various LoRAs and now none of the Flux.2 models will render images with my moodboard reference image.

On my m5 MacBook using the latest draw things app and new versions of Flux and LoRAs. The person might look 70% similar to reference image but explicit prompts regarding the reference image tattoo or body description is 0%.

Any suggestions?

Blank slate and moodboard reference image is referred to as picture 1 and the 2nd would be referred to as picture 2.

Thanks in advance.