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.
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.
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 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
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 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.