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Create a dedicated node for ar_sampler.

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Talmaj Marinc
2026-05-01 22:21:46 +02:00
parent 8ad8d101a1
commit fc303cb2cf
3 changed files with 41 additions and 8 deletions
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8
comfy/k_diffusion/sampling.py
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@@ -1813,18 +1813,21 @@ def sample_sa_solver_pece(model, x, sigmas, extra_args=None, callback=None, disa
@torch.no_grad()
def sample_ar_video(model, x, sigmas, extra_args=None, callback=None, disable=None):
def sample_ar_video(model, x, sigmas, extra_args=None, callback=None, disable=None,
num_frame_per_block=1):
"""
Autoregressive video sampler: block-by-block denoising with KV cache
and flow-match re-noising for Causal Forcing / Self-Forcing models.
Requires a Causal-WAN compatible model (diffusion_model must expose
init_kv_caches / init_crossattn_caches) and 5-D latents [B,C,T,H,W].
All AR-loop parameters are passed via the SamplerARVideo node, not read
from the checkpoint or transformer_options.
"""
extra_args = {} if extra_args is None else extra_args
model_options = extra_args.get("model_options", {})
transformer_options = model_options.get("transformer_options", {})
ar_config = transformer_options.get("ar_config", {})
if x.ndim != 5:
raise ValueError(
@@ -1842,7 +1845,6 @@ def sample_ar_video(model, x, sigmas, extra_args=None, callback=None, disable=No
"does not support this interface — choose a different sampler."
)
num_frame_per_block = ar_config.get("num_frame_per_block", 1)
seed = extra_args.get("seed", 0)
bs, c, lat_t, lat_h, lat_w = x.shape