comfyanonymous (Comfy)
1 appearance on the record.
computed by AI from the episodes · how this works → · full disclaimer →
22statements → 6claims → 4claims resolved → 100%fully supported → 3.82/5average certainty → 1.91/5average debate potential →
4 supported 0 partly supported 0 contradicted 2 not checkable as stated how the 6 claims stand · each chip opens the sources
6 assertions · 4 opinions · 6 insights · 4 disclosures · 2 what ifs · every statement was checked. The predictions and assertions are the 6 claims: statements the public record can support or contradict. 4 are resolved, and 2 name no date, number or outcome precise enough to check. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.
The record, in short
What the tape says about how comfyanonymous argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.
Expressed certainty vs assessment result
weighted support: a fully supported claim counts one, a partly supported claim counts half. Each filled bar is clickable and opens exactly those claims; "none yet" means nothing said at that certainty level has resolved yet
How they sound: not measured why? →
We measure speaking style by listening to the audio itself, and a fair number needs at least 2,000 words from one person on tape we have measured. There is too little of comfyanonymous (Comfy) on measured tape to publish a rate. This says nothing about how they speak.
Everything comfyanonymous (Comfy) said on Latent Space that made the record, most notable first. Filter by type, assessment or year in the ledger →
Comfyanonymous criticizes Gradio for coupling interface logic with backends
“Yeah, Gradio, I don't like Gradio. It's bad. Like, the, that's one of the reasons why, like, Automatic was very bad. It's great because the problem with Gradio, it forces you to, well, not forces you, but it kind of makes your interface logic and your back-end…”
AMD GPUs perform horribly on Windows for generative AI tasks
“AMD works horribly on Windows. Like, on Linux, it works fine. It's lower than the price equivalent NVIDIA GPU. But it works, like, you can use it, generate images, everything works. On Linux, on Windows, You might have a hard time”
Automatic1111's inefficient SDXL implementation drove ComfyUI's viral user adoption
“The big, one point zero release happened, and wow, Confu UI was the only way a lot of people could actually run it on their computers, because it just, like, automatic was so, like, inefficient and bad that most people couldn't act, like, it just wouldn't work…”
Comfy: Training on all internet images yields ugly outputs
“You can create a very good model that doesn't generate nice images, because most images on the internet are ugly, so if you, if that's like, if you just, oh, I have the best model that can, like, it's super smart, I create it on all the, like, I turn it on jus…”
Comfyanonymous considers Genmo's Mochi the best open video generation model
“There's, yeah, there's actually a few of them, but the one I've implemented in Comfy is Mochi, because that, that seems to be The best one so far.”
Comfy: Extending Automatic1111 Was Harder Than Building ComfyUI From Scratch
“It would have been harder to implement that in the auto interface than to create my own interface, so that's when I decided to create my own.”
MultiDiffusion researchers published area conditioning a month after ComfyUI
“And then a month later, there was a paper that came out called multi diffusion, which was the same thing, but yeah, that's .”
Comfyanonymous: Latent space efficiency drove Stable Diffusion's popularity
“That's the problem that that's the reason why stable diffusion actually became like popular, like, cause was because of the latent space.”
Comfy: Flux is better for consistency while SD 3.5 is better for creativity
“If you want some to make something more like creative, maybe as the 3.5, if you want to make something more consistent and flux is. Probably better.”
Stability AI delayed Stable Cascade three months for red teaming
“And inside stability, actually that model was ready like three months before, but it got stuck in red teaming.”
Comfy: Stable Cascade would have been popular if SD3 hadn't stolen momentum
“If that model had released was Supposed to be released by the authors, then it would probably have gotten very popular since it's a step up from SDXL, but it got all of its momentum stolen by the SD three announcement.”
Comfy: Prompt weighting does not work on deep text encoders like T5-XXL
“This stops working the deeper your text encoder is. So, on T-Five XSL, it doesn't work at all, so.”
Comfyanonymous: PyTorch Lacks Fine-Grained Memory Control for Complex Pipelines
“The problem with PyTorch is it's high levels. Don't have that much fine-grained control over, like specific memory stuff, so kind of have to leave, like, the memory freeing to Python and PyTorch, which is, can be annoying sometimes.”
Comfy: Lowering Custom Node Barriers Drove Ecosystem Growth but Created Duplication
“Something I think what I did is I made it easy to make custom notes. So I think that, that helped a lot for the ecosystem, because it is very easy to just make a note. So yeah, a bit too easy sometimes. Then we have the issue where there's a lot of Custom note…”
Comfyanonymous: True video models use 3D latents rather than 2D
“Why I say it's not a true video model is that you still have, like, the two D latents. Like, a true video model, like Mochi, for example, would have three D latents.”
Comfyanonymous: Startups wrapping ComfyUI expand the ecosystem even without contributing
“As long as they use Comfy, it's I think it helps the ecosystem. So because more people, even if they don't, like, even if they don't contribute directly, The fact that they are using Comfy means that like people are more likely to like join the ecosystem.”
Comfyanonymous had never written PyTorch before October 2022
“So basically October, 20, 22, just like I hadn't written a line of PyTorch before that. So it's completely new.”
Comfyanonymous built and released ComfyUI in just fifteen days
“So I started writing the code January one, 20, 23. And then I released the first version on GitHub January, 1620, 23.”
Comfy: Stable Cascade researchers left Stability AI right after its release
“They worked at stability for a bit and they left right after the Cascade release.”
Comfyanonymous: Stability AI internally trained effective T5-XXL textual inversions
“Back as like when I was at stability, we actually did train internally some, Like textual versions on like T five XXL actually worked pretty well, but for some reason, yeah, people don't use them.”
Comfyanonymous remains the sole developer on the ComfyUI core backend
“So right now core, like on the core itself, it's me. But because the reason we're focused, like all the focus has been mostly on the front end right now, because that's the thing that's been neglected for. A long time.”
ComfyUI plans to monetize via cloud inference and enterprise features
“We're still gonna continue, like, doing the open source, like making MVUI the best way to run Like stable effusion models, like at least the open source side, and like, it's going to be best way to run or models locally, but we will have a few, like a few thin…”
Appearances (1)
| Episode | Date | Speaking time |
|---|---|---|
| AI Engineering for Art - with comfyanonymous | Jan 4, 2025 | 37m |