[Feature] Support cache-dit for Wan 2.2 inference (#1021)

Signed-off-by: samithuang <285365963@qq.com>
Signed-off-by: Samit <285365963@qq.com>
This commit is contained in:
Samit authored and GitHub committed 2026-01-28 20:07:50 +08:00
1 parent cb48968294
commit c0beebbfe3
8 files changed
+131 -59

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@@ -73,6 +73,11 @@ def parse_args() -> argparse.Namespace:
"Default: None (no cache acceleration)."
),
)
parser.add_argument(
"--enable-cache-dit-summary",
action="store_true",
help="Enable cache-dit summary logging after diffusion forward passes.",
)
parser.add_argument(
"--ulysses_degree",
type=int,
@@ -166,6 +171,7 @@ def main():
vae_use_tiling=vae_use_tiling,
cache_backend=args.cache_backend,
cache_config=cache_config,
enable_cache_dit_summary=args.enable_cache_dit_summary,
parallel_config=parallel_config,
enforce_eager=args.enforce_eager,
enable_cpu_offload=args.enable_cpu_offload,
@@ -36,8 +36,29 @@ def parse_args() -> argparse.Namespace:
parser.add_argument(
"--flow_shift", type=float, default=5.0, help="Scheduler flow_shift (5.0 for 720p, 12.0 for 480p)."
)
parser.add_argument(
"--cache_backend",
type=str,
default=None,
choices=["cache_dit"],
help=(
"Cache backend to use for acceleration. "
"Options: 'cache_dit' (DBCache + SCM + TaylorSeer). "
"Default: None (no cache acceleration)."
),
)
parser.add_argument(
"--enable-cache-dit-summary",
action="store_true",
help="Enable cache-dit summary logging after diffusion forward passes.",
)
parser.add_argument("--output", type=str, default="wan22_output.mp4", help="Path to save the video (mp4).")
parser.add_argument("--fps", type=int, default=24, help="Frames per second for the output video.")
parser.add_argument(
"--enforce_eager",
action="store_true",
help="Disable torch.compile and force eager execution.",
)
parser.add_argument(
"--enable-cpu-offload",
action="store_true",
@@ -55,11 +76,6 @@ def parse_args() -> argparse.Namespace:
default=1,
help="Number of GPUs used for ring sequence parallelism.",
)
parser.add_argument(
"--enforce_eager",
action="store_true",
help="Disable torch.compile and force eager execution.",
)
return parser.parse_args()
@@ -72,6 +88,24 @@ def main():
vae_use_slicing = is_npu()
vae_use_tiling = is_npu()
# Wan2.2 cache-dit tuning (from cache-dit examples and cache_alignment).
cache_config = None
if args.cache_backend == "cache_dit":
cache_config = {
# DBCache parameters [cache-dit only]
"Fn_compute_blocks": 1, # Optimized for single-transformer models
"Bn_compute_blocks": 0, # Number of backward compute blocks
"max_warmup_steps": 4, # Maximum warmup steps (works for few-step models)
"max_cached_steps": 20,
"residual_diff_threshold": 0.24, # Higher threshold for more aggressive caching
"max_continuous_cached_steps": 3, # Limit to prevent precision degradation
# TaylorSeer parameters [cache-dit only]
"enable_taylorseer": False, # Disabled by default (not suitable for few-step models)
"taylorseer_order": 1, # TaylorSeer polynomial order
# SCM (Step Computation Masking) parameters [cache-dit only]
"scm_steps_mask_policy": None, # SCM mask policy: None (disabled), "slow", "medium", "fast", "ultra"
"scm_steps_policy": "dynamic", # SCM steps policy: "dynamic" or "static"
}
# Configure parallel settings (only SP is supported for Wan)
# Note: cfg_parallel and tensor_parallel are not implemented for Wan models
parallel_config = DiffusionParallelConfig(
@@ -88,6 +122,9 @@ def main():
vae_use_tiling=vae_use_tiling,
boundary_ratio=args.boundary_ratio,
flow_shift=args.flow_shift,
cache_backend=args.cache_backend,
cache_config=cache_config,
enable_cache_dit_summary=args.enable_cache_dit_summary,
enable_cpu_offload=args.enable_cpu_offload,
parallel_config=parallel_config,
enforce_eager=args.enforce_eager,