bernini-r-1.3b-diffusers-bf16
This repository contains a BF16 repack of
ByteDance/Bernini-R-1.3B-Diffusers
for local Apple Silicon inference with
mlx-gen.
The source repository ships FP32 weights (~27 GiB) that inference runtimes cast to BF16 at load time. This repack stores the runtime dtypes directly, reducing the download to ~15.6 GiB (42% smaller) with no change in output:
- UMT5 text encoder: BF16, with the
wofeed-forward projections stored in FP32 exactly as the runtime keeps them (_keep_in_fp32_modules). - Renderer transformer: BF16, with the runtime FP32 keep-set (norms, scale-shift tables, and embedding layers) stored in FP32 exactly as the loader produces them.
- VAE: FP32, unchanged.
- Tokenizer, scheduler, and configs: unchanged.
The repository keeps the upstream Diffusers layout, so it also remains loadable by the official Bernini inference code.
Source Model
Original model: ByteDance/Bernini-R-1.3B-Diffusers.
This derivative follows the Apache 2.0 license of the source model.
Usage With mlx-gen
mlxgen download --model bernini-r-1.3b-bf16
mlxgen generate \
--model bernini-r-1.3b-bf16 \
--reference-image subject.png \
--prompt "Bring the subject from image0 to life in a fixed medium shot" \
--width 848 --height 480 --frames 81 --fps 16 --steps 40 \
--seed 42 --output referenced.mp4
Bernini-R supports reference-to-video (1-8 reference images), reference-guided video editing
(--video plus references), and prompt-guided video editing (--video only). See the
mlx-gen Bernini documentation
for workflows, guidance defaults, and task-specific recipes.
Fidelity
Tensors are bit-exact casts of the pinned source revision
(ff4c5d4d2d31365c2ffeb30e9753065ee18f58ce): every tensor equals the value the mlx-gen loader
produces from the FP32 original, and generation output was verified bit-identical to the source
repository on image and video use cases at the same settings and seed (max pixel diff 0).