Bernini v2 is a video
editor
: t2v / i2v / v2v / r2v / rv2v / ads2v. The source media (reference images / source video) are first-class inputs. The pipeline has two stages:
Semantic planning
: a fine-tuned Qwen2.5-VL (
mllm
) + connector +
vit_decoder
(MaskGIT-style loop) turn the text + source visual tokens into
diff_mllm_contexts
(the novel part Bernini-R lacks).
Rendering
: two co-trained Wan2.2 DiTs (
high-noise
/
low-noise
, switched at 0.875) with the Bernini
vae_txt_vit_wapg
guidance (4-way CFG with APG projection), VAE-encoded source media as
context_latents
, Wan2.1 VAE decode.
Task is inferred from which media inputs are connected: (none) = t2v,
source_video
= v2v,
source_video
+
reference_images
= rv2v,
reference_images
only = r2v,
source_video
+
reference_video
= ads2v.
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