MODEL PROFILE

FLUX.2-klein-4B-LiteRT

litert-community · FLUX.2-klein-4B-LiteRT

LiteRT is Google's on-device runtime, the new name for TensorFlow Lite (Android: `com.google.ai.edge.litert:litert`), and `litert-torch`, the renamed `ai-edge-torch`, is its PyTorch converter: a PyTorch model converted unmodified with `litert_torch.convert` matched the original to 4e-7 on a Galaxy S26 (measured, LiteRT 2.2.0, Android 16, 2026-09-05). Black Forest Labs **[FLUX.2 [klein] 4B](https://huggingface.co/black-forest-labs/FLUX.2-klein-4B)** (Apache-2.0) converted to **LiteRT `CompiledModel`** int8 graphs, generating **and editing** images fully on a phone GPU. The upstream model card says klein "runs on consumer GPUs, with as little as 13 GB VRAM". These graphs run it on a Pixel 8a's Mali-G715, which has no dedicated VRAM at all. Prompt: *"a red apple on a wooden table, studio lighting"*. 4 steps, 256×256, generated end-to-end on a Pixel 8a Mali GPU in 306 s. Matches the fp32 `diffusers` pipeline at **PSNR 36.8 dB / corr 0.9987**.

Image generationlicense:apache-2.0
Context windowNot disclosed
Input → OutputText → Image
Model weightsNot verified
Profile updated2026/11/2 19:15:41
OVERVIEW

Model overview

LiteRT is Google's on-device runtime, the new name for TensorFlow Lite (Android: `com.google.ai.edge.litert:litert`), and `litert-torch`, the renamed `ai-edge-torch`, is its PyTorch converter: a PyTorch model converted unmodified with `litert_torch.convert` matched the original to 4e-7 on a Galaxy S26 (measured, LiteRT 2.2.0, Android 16, 2026-09-05). Black Forest Labs **[FLUX.2 [klein] 4B](https://huggingface.co/black-forest-labs/FLUX.2-klein-4B)** (Apache-2.0) converted to **LiteRT `CompiledModel`** int8 graphs, generating **and editing** images fully on a phone GPU. The upstream model card says klein "runs on consumer GPUs, with as little as 13 GB VRAM". These graphs run it on a Pixel 8a's Mali-G715, which has no dedicated VRAM at all. Prompt: *"a red apple on a wooden table, studio lighting"*. 4 steps, 256×256, generated end-to-end on a Pixel 8a Mali GPU in 306 s. Matches the fp32 `diffusers` pipeline at **PSNR 36.8 dB / corr 0.9987**.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

Source prices & cost analysis

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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Frequently asked questions

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Sources & traceability

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。