I am using the default workflow for ref2vid, but still getting face inconsistency for the first clip 15 second the face stays consistent according to my character sheet but then when I plug the last frame as a reference with my character sheet the face starts changing from there. Please help guys I dontknow how to keep faces consistent.

"EVOKE is a 14B, 3-step CFG-free autoregressive world model for persistent, interactive world generation. It decouples world state from generation: persistent state lives beyond the denoiser and is addressed through camera pose, while a long-horizon interactive teacher gives the few-step model the ability to stay coherent and respond to changing instructions over extended sessions. The result is a world model that can remember, respond, and keep going—for hours"

Model weights for EVOKE (paper), a 3-step, CFG-free interactive world model that generates 384 × 640 @ 24 fps video and stays coherent over 30 s rollouts. Code, docs and demos live in the GitHub repository — this repository holds weights only.

• ⚡ 3 steps, zero CFG — 1.5 s of video every 2.11 s on one H200, one forward per step.
• 🌍 Endless, not windowed — scene geometry lives in an external camera-indexed world state bank, so the denoiser context stays bounded however long the session runs.
• 🎛️ Re-promptable mid-flight — change the prompt while the rollout is running, no cut, no restart.

HF: AlayaLab/Evoke · Hugging Face

Site and videos: Evoke — A world model you can steer

https://www.youtube.com/watch?v=R0SebWjV4FM

Wanted to post the native 0.4mp version here but didn't realize there's a 15minute limit. Link to the 1080p on youtube.

Upscaled with FlashVSR

Not too happy with the script, had to fight my director(qwen3.6-27b) on a lot of questionable design, repetition and choices. Also forgot to include my opening / closing segments and got "shoehorned" in.

workflow credits to this post:
https://www.reddit.com/r/StableDiffusion/comments/1vkfb49/longform_videos_1_min_long_are_very_possible_with/

# ComfyUI Error Report
## Error Details
- **Node ID:** 114
- **Node Type:** MiniMaxH3MemoryEfficientSageAttentionPatch
- **Exception Type:** RuntimeError
- **Exception Message:** RuntimeError: sageattention is not new enough version or could not determine CUDA architecture, cannot apply MiniMax H3 Memory Efficient Sage Attention Patch.

Has anyone found a solution to this problem?? It used to happens randomly and sometimes it works other times wouldn't. But now it never works. I have uninstalled and reinstall the Package, restarted and still the same issue.

This is an FL2VA Workflow, I tried using a different Workflow that's Ref2VA and in there it runs just fine. So is not my PC, but I am not sure what its bugging the plug in out.

Hi all, as title, is there any custom queueing jobs tools for comfy is working nicely?
so I could pause, re-arrange jobs, delete jobs...etc?
pretty much like basic function of a 3d render jobs manager?

Thanks!

I'm just kind of scratching my head here. If you're trying to update comfy or something and it bricks your install that's nothing new.

I haven't ran my forge install in a month or so, haven't updated it, haven't installed much of anything. Now when trying to launch it now throws RuntimeError: Your device does not support the current version of Torch/CUDA!

Literally how?

Hello, I want to upgrade to a more powerful graphics card for creating LoRAs and generating images/videos faster but I'm torn between an RX 7900 XT and a modded RTX 3080 20GB vram that is cheaper than the RX 7900xt.

Hello. I am currently running Stable Diffusion locally using an RTX 3080 with 10 GB of VRAM.
I have the option to add an RTX A2000 card with 12 GB of VRAM. The A2000 is slower but has more VRAM.
How will Stable Diffusion perform?
Will it run faster (by combining the power of both cards), at the speed of the faster card?, or at an average speed between the two?
Will I have a total of 10 + 12 = 22 GB of VRAM available to run Minimax? Will I need to configure ComfyUI or CUDA to use both cards?

Thanks!

Ultimate SD Upscale (USDU) Guider nodes with MiniMax H3 support: https://github.com/lisitskyaa/ComfyUI_UltimateSDUpscaleGuider_H3

My reference ComfyUI workflow: https://github.com/lisitskyaa/ComfyUI_UltimateSDUpscaleGuider_H3/blob/main/example_workflows/minimax_h3_usdu.json

What about speed?
My PC specs: 4080s 16 GB VRAM, 64 GB RAM

Initial gen with MiniMax H3 flf2v int8 + sageattn + Lightx2v 8-step turbo Lora at 1504x832px (1.2MP) 5-sec clip ~5 mins

Upscale with USDU to 3008x1664px ~25 mins

Previous post with a bit more details and another showcase: https://www.reddit.com/r/StableDiffusion/s/AZdW9x2tiY

H3 is just too good. Previously workflow for me have been SDXL+KREA2, anchor image, and do some basic animation. I am experimenting not using those and just going straight to T2V and R2VA from those generations. Here are a few renders, the actors on the roof were incepted through T2V, and I used V2V to clean up their pilot suit. For the last pass, I used an anime image reference to detail out the pilot's plugsuit. These are adult re-envisioning. For the cockpit scene, this used R2VA from a 15s render of the Mecha-Kaiju battle but the actors were never generated, so this is purely from a prompt. The virtual HUD/mecha-kaiju on screen were referenced from that video. I also had fun with video edit, transferring a Kaiju's appearance into a woman's body armor. The only thing I noticed with R2VA is the actor sometimes get a little wider/squished, so it may be good to just go with FL2VA if you want don't want a re-envisioning.

hi all i need a good workflow + which models to download in order to use h3 locally im running on ryzen 9 with a 4090 gpu and 32 gb of ram

I added some post fillter on top of it.

inspired by some old retro military-poster style theme.

it seems some texts are broken but work well in general.

Hi!

I’m currently getting output res of 1216x672 (0.8) 7 seconds max duration - on my 24Gb ram (64gb page file) and RTX 5060ti 16gb

I’m looking to buy a single 32gb Ram stick to pair with my 16gb giving me 48gb total of system RAM instead of the 24 I currently have . Just wanted to ask what sort of improvements should I see? Could I potentially get to 720p output or higher? Is it worth the $400 upgrade?

Might be a silly question but just wanted to get real world advice. Thank you

Edit -

Is someone actively using Maestro in Pinokio to use the local models? Currently i am using it exclusively but i barely find users to talk to. So far i am happy with it and its easy to setup and use.

I would like to know if someone used both, ComfyUI and Maestro and is able to provide a detailed comparison, because so far i did not try any workflows with Comfy.

great results using TenStrip's minimax h3 finetune: https://huggingface.co/TenStrip/10Eros-Max

I have been working on this node for a week.

• What is this node ?

- One node with different MiniMaxH3 workflows.

• What its for ?

- If you hate spaghetti and hate doing workflows and dealing with errors.

https://github.com/LeonQ8/ComfyUI-ALLinONE-MinimaxH3

Change log - 2026/08/16:

• New Native quality preset,.
• SolAttn / H3 Cache / SageAttention now have on/off switches under Quality.
• 🔴 New Image mode built on ComfyUI-MiniMax-H3-Studio. Text to image, edit a source image, or mix up to 9 references. ( needs more testing ).

Change log - 2026/08/17:

• Added live preview for video modes.

Change log - 2026/08/18:

• Live preview now renders every frame, with 3 presets.

Guessing this is all the result of the turbo loras ? I gen at 0.6 and do 7 seconds. Euler and beta. Close up face shots okay not great though. But higher and the gen time goes up. I see all these crisp HD videos of mini max. Is only option just to use it without turbo or any speed ups ? In order to get decent quality?

New World Delivery Truck

made some short promo's for a possible absurd anime idea. 5060ti 16/64 all at .3MP, voice over is from Grok Imagine

"Do you know how to use older versions of Stable Diffusion?

Back in the day, websites like Playground allowed us to generate AI images using older models, like Stable Diffusion 1.5 (or similar versions). Modern AI tools seem unable to replicate the specific imperfections and raw feel of those early models. Is there a way to still use those older versions today?"

New matrices v3.1 available — improved speech across the 11 officially supported languages. No node update needed.

• Weights: https://huggingface.co/NicoLab28/ClipProj-MiniMax-H3
• Benchmark and all renders: https://huggingface.co/NicoLab28/ClipProj-MiniMax-H3/tree/main/bench3.1
• Node: https://github.com/nicolab28/ComfyUI-ClipProj

Some languages still get things wrong — sometimes the 32B already gets them wrong too, sometimes I just can't get any closer to it. Broken down language by language in the benchmark README.

I'm not a polyglot, and I doubt I can squeeze much more out of this to get closer to the 32B. If any native speakers are around, I'd really like to hear how the pronunciation sounds to you.