Flux 2 Klein
A lightweight image generation model released by Black Forest Labs that ranked fourth in a comparative LoRA training evaluation, outperforming the larger Flux 2 Dev model.
Timeline (last 90 days)
Flux 2 Klein is a distilled variant of the Flux series released by Black Forest Labs that accelerates static image generation through a flow matching framework and reduced sampling steps.
The workflow uses Flux 2 Klein for static images and Minimax H3 for video generation.
The Flux 2 Klein 9B image editing model can be used to freely generate multi-angle consistent views as input for the multi-view workflow.
The Flux 2 Klein detailer workflow uses a stitch-mask-resample pipeline to handle local modifications of high-resolution images.
The workflow defines the area to be modified using a mask, resamples only the local region, and then stitches it back into the original image, thereby completing fine-grained modifications within manageable compute.
Image widths in the workflow examples reach 1856 pixels or more.
The consistency LoRA introduced in the Flux 2 Klein workflow is entirely optional; the workflow operates normally without loading it, and adding it makes the style and lighting transitions between local modifications and the original image more natural.
Flux 2 Klein (abbreviated F2K) requires only 30 minutes for LoRA training and can be completed on a graphics card with 12GB of VRAM.
Flux 2 Klein can achieve ideal results in many scenarios without training a LoRA.
On an RTX 4070 Super, Flux 2 Klein takes only about 35 seconds to process a 4MP (approximately 4 megapixel) image.
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All Facts (14)
Flux 2 Klein is a distilled variant of the Flux series released by Black Forest Labs that accelerates static image generation through a flow matching framework and reduced sampling steps.
50%UnverifiedThe workflow uses Flux 2 Klein for static images and Minimax H3 for video generation.
50%UnverifiedThe Flux 2 Klein 9B image editing model can be used to freely generate multi-angle consistent views as input for the multi-view workflow.
50%UnverifiedThe Flux 2 Klein detailer workflow uses a stitch-mask-resample pipeline to handle local modifications of high-resolution images.
50%UnverifiedThe workflow defines the area to be modified using a mask, resamples only the local region, and then stitches it back into the original image, thereby completing fine-grained modifications within manageable compute.
50%UnverifiedImage widths in the workflow examples reach 1856 pixels or more.
50%UnverifiedThe consistency LoRA introduced in the Flux 2 Klein workflow is entirely optional; the workflow operates normally without loading it, and adding it makes the style and lighting transitions between local modifications and the original image more natural.
50%UnverifiedFlux 2 Klein (abbreviated F2K) requires only 30 minutes for LoRA training and can be completed on a graphics card with 12GB of VRAM.
50%UnverifiedFlux 2 Klein can achieve ideal results in many scenarios without training a LoRA.
50%UnverifiedOn an RTX 4070 Super, Flux 2 Klein takes only about 35 seconds to process a 4MP (approximately 4 megapixel) image.
50%UnverifiedFlux 2 Klein requires only 4 steps to generate an image, far fewer than the common 20–50 steps.
50%UnverifiedEven without using any character LoRA, Flux 2 Klein can preserve a character's identity features (character consistency) during editing.
50%UnverifiedA Reddit user stated that Flux 2 Klein works with a single straightforward instruction with a success rate as high as 99%.
50%UnverifiedThe user's use cases for Flux 2 Klein include image upscaling, photo restoration, black-and-white colorization, object removal, element addition, scene relighting, background replacement, and character dataset construction.
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