FLUX Comparison SCHNELL vs DEV IMAGE TO IMAGE TEXT TO IMAGE INPAINTING 

agreed!

Plzzzzzz tells us how to use dev flux free anywhere??? Online or...​@@PixelEasel

@@PixelEasel Now use SCHNELL with a High "resolution" in pixels, and get surprise 😎 maybe you need make a new video for that.

checking ​@@KingBerryBerry

agree!

thanks for commenting!!

thanks 😊!

Yes, I think flux is awesome, I tried Stable diffusion on Mimicpc, and of course this product also includes popular tools for AI such as RVC, Fooocus, and others. I think it handles detail quite well too, I can't get away from detailing images in my profession and this fulfills exactly what I need for my career.

cheers 🍻

thanks for a great comment!

Wow , you got a point. Maybe the comparison with anime and painting should be the next one.

Both models are awesome! Each one is tailored for a specific use.

thanks 😊

thanks a lot!

What is that version😮 The pro one?

where can we find the link

Sauce?

it doesn't understand the prompts as good as the standalone Dev.

Dude tell the source if you gonna tell something like that

Imagen 3 is even better at making people (fingers & toes) photorealism and "true to the prompt" accuracy than Flux.

@@gameon2000 Will try

@@gameon2000 Ohh thanks for the info I will check it out

you're welcome 😊

I've had your problem before; if you don't think you're doing anything wrong, you can either reboot and rebuild the model or go to mimicpc and run flux, I was just frustrated with the fuzzy images I was getting, and used mimicpc's online comfyui to run flux after trying other solutions that didn't work, and I think the images it produced were very good, but I don't know what to do with them. I was really surprised by the detail of the images it generated.

Flux Dev is for developers, providing basic development tools and functionality, while Flux Pro is an advanced version with more features, performance optimizations, and enterprise-level support for professional users who need a more comprehensive service.

Je ne comprends pas bien. C'est autorisé de vendre les images ? Qu' est ce qui est interdit alors ?

@@valheyrie404 It is allowed to sell images that you generated. It is not allowed (without direct agreement) to host the model and sell the access to it. Like civitai and other generation services. Although, it seems civitai already reached some sort of commerical agreement with authors. But, also you cannot include "dev" model in some sort of commercial software product, like a photo editor. Or to train your own commercial (production) model while using "dev" model as a basis for that.

@@AlistairKarim C'est plus clair. Merci ! :)

@@valheyrie404 Oui, vous pouvez vendre vos images générées. Ce que vous ne pouvez pas utiliser commercialement, en l'intégrant dans un produit tel qu'une application, c'est le modèle lui-même (Dev). Mais vous pouvez vendre les images générées.

@@valheyrie404 I apologize. While many people, including myself (and even chatbots like Claude), generally agree that outputs seem viable to sell, the license is actually quite confusing. The more I read it, the more confusing it becomes. Until Black Forest Labs specifically clarifies this point, I advise being careful for now.

The reduction in model size usually involves a process called quantization, which essentially compresses the data by using fewer bits to represent the numbers (weights) in the model. In machine learning, weights are often stored as floating-point numbers, like FP32 (32-bit floating point) or FP16 (16-bit floating point). Reducing the model size could mean switching from FP32 to something smaller like FP16 or even FP8. When you use smaller numbers like FP8, the model consumes less memory and processes faster, but there is a trade-off: you lose some precision in the weights. This loss in precision can affect the model's accuracy or the quality of the generated images. However, the impact of this precision loss varies depending on the model and its use case. Specialized models, designed for specific tasks, might still perform well with lower precision because they don't need to generalize across as many scenarios. On the other hand, more generalized models that need to work well across a wide range of inputs may experience a noticeable drop in performance. So, when the model was reduced from 30GB to 11GB, some precision was likely sacrificed, which could potentially affect the quality of its outputs, especially in more complex or diverse tasks. And that is exactly what we can see in the comparison.

try to update comfy. it should work

Clearly AI voice as it's lacking inflection.

@@LukasBazyluk1117 Interesting

Search for a tutorial that shows you how to install ComfyUI without Pinokio. I installed ComfyUI_windows_portable because pinokio apps almost always doesn't work for me also. You have a better video card than I do, so you should be able to run it but it might be slow. Also there a free sites where you can create images using Flux if that's all you want to do.

What GPU are you using

@@master-tp6wc 4080 super with 96gig. Reddit was flooded with this dev version memory issue even for those with 4090 cards.

you can find it on the description.. just clean it up a bit

@@PixelEasel not exactly sure how to yet, still a noob but thanks for reply.

I'm the one that struggling with talking. This Ai is better than me talking 😅

of course

Oh interesting! I'm learning Dutch and fast is "snell" in Dutch, which seems counterintuitive to me because it sounds like snail, which is a very, very slow animal.

C'est à peu près le commentaire que je cherchais : vous faites du photorealisme avec et obtenez d'aussi bons résultats ? Et pour le respect des prompts ?