--- license: apache-2.0 base_model: baidu/ERNIE-Image-Turbo pipeline_tag: text-to-image library_name: mlx-gen tags: - mlx - mlx-gen - mflux - apple-silicon - 8-bit - ernie - ernie-image - ernie-image-turbo --- # ernie-image-turbo-8bit This repository contains MLX-Gen saved weights for `baidu/ERNIE-Image-Turbo`. The checkpoint is designed for local Apple Silicon inference with [`mlx-gen`](https://github.com/lpalbou/mlx-gen). It uses the mflux/MLX saved-weight layout and MLX quantization tensors. It is not a Diffusers or Transformers `from_pretrained()` checkpoint. ## Source Model Original model: [`baidu/ERNIE-Image-Turbo`](https://huggingface.co/baidu/ERNIE-Image-Turbo). ## License and Access This quantized derivative follows the Apache 2.0 license of the source model. ## Quantization This is an MLX q8 checkpoint for ERNIE Image Turbo. MLX-Gen uses 8-bit quantization for ERNIE modules where MLX supports quantization: - q8 for quantizable ERNIE transformer modules. - q8 for quantizable ERNIE text-encoder modules. - q8 for quantizable ERNIE VAE attention modules. - BF16 for norms, convolutions, and other non-quantizable parameters. ERNIE q4 uses a model-specific mixed q4/q8 policy because fully q4 checkpoints can drift from BF16/q8 behavior. See the [MLX-Gen quantization docs](https://github.com/lpalbou/mlx-gen/blob/main/docs/quantization.md) for compatibility notes and measured ERNIE q4/q8 behavior. Prepared ERNIE folders contain the ordinary text-to-image generation stack. ERNIE Prompt Enhancer files are not bundled in this checkpoint. ## Compatibility Requires `mlx-gen >= 0.18.5`. Generated with `mlx-gen 0.18.5`. Use the `mlxgen` command and Python import path for new MLX-Gen projects. ## Usage ```bash python -m pip install -U mlx-gen mlxgen download --model AbstractFramework/ernie-image-turbo-8bit mlxgen generate \ --model AbstractFramework/ernie-image-turbo-8bit \ --prompt "Your prompt here" \ --width 512 \ --height 512 \ --steps 8 \ --guidance 1 \ --seed 42 \ --output image.png ``` ## Attribution MLX-Gen is based on [mflux](https://github.com/filipstrand/mflux) by Filip Strand and the original mflux contributors. This model card is generated by MLX-Gen so derived checkpoints keep that attribution visible. Quantized and contributed by [@lpalbou](https://huggingface.co/lpalbou).