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Add better error handling for a custom ar_video sampler.

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This commit is contained in:
Talmaj Marinc 2026-03-25 22:15:44 +01:00
parent e9cf4659d2
commit 2841684700
2 changed files with 22 additions and 3 deletions
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22
comfy/k_diffusion/sampling.py
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@ -1817,21 +1817,37 @@ def sample_ar_video(model, x, sigmas, extra_args=None, callback=None, disable=No
"""
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].
"""
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(
f"ar_video sampler requires 5-D video latents [B,C,T,H,W], got {x.ndim}-D tensor with shape {x.shape}. "
"This sampler is only compatible with autoregressive video models (e.g. Causal-WAN)."
)
inner_model = model.inner_model.inner_model
causal_model = inner_model.diffusion_model
if not (hasattr(causal_model, "init_kv_caches") and hasattr(causal_model, "init_crossattn_caches")):
raise TypeError(
"ar_video sampler requires a Causal-WAN compatible model whose diffusion_model "
"exposes init_kv_caches() and init_crossattn_caches(). The loaded checkpoint "
"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
frame_seq_len = -(-lat_h // 2) * -(-lat_w // 2) # ceiling division
num_blocks = -(-lat_t // num_frame_per_block) # ceiling division
inner_model = model.inner_model.inner_model
causal_model = inner_model.diffusion_model
device = x.device
model_dtype = inner_model.get_dtype()

3
comfy/samplers.py
View File

@ -719,6 +719,9 @@ class Sampler:
sigma = float(sigmas[0])
return math.isclose(max_sigma, sigma, rel_tol=1e-05) or sigma > max_sigma
# "ar_video" is model-specific (requires Causal-WAN KV-cache interface + 5-D latents)
# but is kept here so it appears in standard sampler dropdowns; sample_ar_video
# validates at runtime and raises a clear error for incompatible checkpoints.
KSAMPLER_NAMES = ["euler", "euler_cfg_pp", "euler_ancestral", "euler_ancestral_cfg_pp", "heun", "heunpp2", "exp_heun_2_x0", "exp_heun_2_x0_sde", "dpm_2", "dpm_2_ancestral",
"lms", "dpm_fast", "dpm_adaptive", "dpmpp_2s_ancestral", "dpmpp_2s_ancestral_cfg_pp", "dpmpp_sde", "dpmpp_sde_gpu",
"dpmpp_2m", "dpmpp_2m_cfg_pp", "dpmpp_2m_sde", "dpmpp_2m_sde_gpu", "dpmpp_2m_sde_heun", "dpmpp_2m_sde_heun_gpu", "dpmpp_3m_sde", "dpmpp_3m_sde_gpu", "ddpm", "lcm",