metadata
license: apache-2.0
base_model: Tongyi-MAI/Z-Image-Turbo
tags:
- litert
- tflite
- text-to-image
- on-device
- diffusion-transformer
- int8
pipeline_tag: text-to-image
library_name: litert
Z-Image-Turbo — LiteRT bundle for Mirage iOS
Repackaged from litert-community/Z-Image-Turbo-LiteRT (Apache-2.0, converted from Tongyi-MAI/Z-Image-Turbo) with the host-side tensors required to run the full text-to-image pipeline on device:
| File | Role |
|---|---|
qwen_enc.tflite |
Qwen3-4B text encoder (penultimate hidden state) |
z_embx.tflite / z_refx.tflite |
image patch embed + noise refiner |
z_embc.tflite / z_refc.tflite |
caption embed + context refiner |
zc_main0..5.tflite |
30 S3-DiT layers, 5 per chunk |
zc_final.tflite |
final adaLN + projection |
zvae.tflite |
VAE decoder |
host_tensors.safetensors |
embed_tokens (fp32), t_embedder MLP, cap_pad_token, x_pad_token |
tokenizer.json |
Qwen2 BPE tokenizer |
All graphs are INTEGER-int8, fixed 256×256 output, 64-token prompt budget.
The host loop (RoPE, adaLN timestep embedding, pad masking, x/cap concat,
flow-match Euler, VAE denorm latents / 0.3611 + 0.1159) runs in app code.
License: Apache-2.0 (inherited from Z-Image-Turbo).