Flux 2 Klein Vs Flux 3 Klein

Uncompressed image: https://postimg.cc/gallery/6WBdT03 (To view the uncompressed image, click on it a second time after opening it, or simply download the entire image album) ---------------------------------------------------------------------------------------------------------------------------------- After these tests, I’m confused, and I don’t understand why the Flux 3 Klein model exists or why it turned out the way it did. Our test subjects Flux 2 Klein (9B) (Distill) (BF16) Flux 3 Klein (D) - Distill (BF16) Flux 3 Klein (B) - Base, NoDistill (BF16) I took equivalent models for comparison, Flux 3 Klein Distill and Flux 2 Klein (9B), and it’s more correct and fair to compare exactly these two with each other. Still, I decided to add Flux 3 Klein (Base) to understand what this model is capable of overall in its maximum configuration. For the tests, I used the most standard ComfyUI workflows. I also didn’t use the prompt enhancement feature: my tests include both good, correct prompts and overly abstract, deliberately badly written ones, in order to check how the model handles normal prompts and bad ones, and how well it can generate from short prompts that don’t contain enough information. Test categories I split the tests into several categories with different goals: Images 1-3: complex prompts with lots of details and different poses. These show how well a model follows the prompt and how often it loses details. Images 4-6: typography, mixing typography with real-world imagery, and banner creation. Images 7-11: styles. Pay attention to how well each model handles different styles. Images 12-13: level of detail. This is similar to tests 1–3, but with a stronger focus on small details. Image 14: character understanding. Images 15-17: your favorite (or most hated) category, 1girl. Here you can judge overall realism and the ability to generate in an amateur-photo style. Settings (RTX 3090) Flux 2 Klein (9B) - 8 steps, 1 CFG (1MP) - generation time (00:07) Flux 3 Klein (D) - 15 steps, 1 CFG (1MP) - generation time (00:12) Flux 3 Klein (B) - 50 steps, 3.5 CFG (1MP) - generation time (1:22 - 1:24) By the way, Flux 2 has a very good VAE, and it’s really sad that Black Forest didn’t update the VAE to version 3 as well :( My opinion Flux 3 has the same problems as Flux 2, namely limb mutations. Of course, I didn’t include images with mutations in the tests, but believe me: I ran each generation 2-5 times to get a more or less normal image, and what you see in the tests is the best I got out of those 2-5 generations. For example, for the Nike advertisement image I had to generate about 10 times, at least, to get a normal image without mutations and with physically correct objects in the frame. Judging by the tests, I can say that the Flux 3 Klein model, specifically the base one without distillation, produces some of the worst images I’ve ever seen, not counting Z-image Base. I assume Flux 3 Klein (Base) exists only for training LoRAs on it, because it’s simply not suitable for T2I tasks. Perhaps it would perform better in an I2I (Edit) scenario, but I’m not sure about that. Flux 3 Klein Distill gives better results than Flux 3 Base, but it still performs worse than Flux 2 Klein (9B). That’s exactly why I wrote at the beginning that I consider the release of Flux 3 pointless, at least in the form it’s in now, especially when we have such decent models as Krea2, Qwen 2.1 and even BooguImage in the T2I space. With Flux 3 Klein (Distill), we have anatomy problems, even worse than on F2K, poor detail in eyes and faces, and generally poor detail in some places (Artifacts and blurring in areas with excessive detail). Perhaps the low detail in eyes and other areas could be fixed by raising the megapixel count from 1 to 2-3 during generation, but I think 1MP is the most basic setting and it should always work well, especially since Flux 2 Klein 9B had no problems at all with the “1MP” setting when generating content. Continuing the comparison with Flux 2: on some images Flux 3 has slightly better stylization, but it still has far more drawbacks than advantages to choose it as a replacement for Flux 2 Klein. I could write a lot more here, but I think the test images will give more information, since everything is pretty obvious anyway. But again, the final choice and the final opinion always remain yours, so I’m looking forward to your comments to hear your thoughts on Flux 3 Klein. submitted by /u/Both-Rub5248 [link] [comments]

Source: r/StableDiffusion | 2026-10-16

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