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Support context window for PiD and fix lq_latent rounding (#14136)

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Jukka Seppänen 2026-05-27 22:08:06 +03:00 committed by GitHub
parent 51ef17e8a6
commit 987a937658
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2 changed files with 20 additions and 2 deletions
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5
comfy/ldm/pixeldit/pid.py
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@ -207,8 +207,9 @@ class PidNet(PixDiT_T2I):
f"Flux1/SD3 = 16 channels, Flux2 = 128 channels."
)
B = x.shape[0]
Hs = x.shape[2] // self.patch_size
Ws = x.shape[3] // self.patch_size
# Match the backbone's pad_to_patch_size (round up) so the LQ grid lines up with the patch stream.
Hs = -(-x.shape[2] // self.patch_size)
Ws = -(-x.shape[3] // self.patch_size)
degrade_sigma = degrade_sigma.to(device=x.device, dtype=torch.float32).reshape(-1)
if degrade_sigma.numel() == 1 and B > 1:

17
comfy/model_base.py
View File

@ -1428,6 +1428,23 @@ class PiD(PixelDiTT2I):
out["degrade_sigma"] = comfy.conds.CONDRegular(degrade_sigma)
return out
def resize_cond_for_context_window(self, cond_key, cond_value, window, x_in, device, retain_index_list=[]):
if cond_key == "lq_latent" and hasattr(cond_value, "cond") and isinstance(cond_value.cond, torch.Tensor):
lq = cond_value.cond
dim = window.dim
if dim >= lq.ndim:
return None
lq_proj = self.diffusion_model.lq_proj
ratio = lq_proj.sr_scale * lq_proj.latent_spatial_down_factor
# Map x window indices -> lq indices (deduplicated, sorted, in-bounds).
lq_size = lq.size(dim)
lq_indices = sorted({i // ratio for i in window.index_list if 0 <= i // ratio < lq_size})
if not lq_indices:
return None
idx = tuple([slice(None)] * dim + [lq_indices])
return cond_value._copy_with(lq[idx].to(device))
return super().resize_cond_for_context_window(cond_key, cond_value, window, x_in, device, retain_index_list=retain_index_list)
class WAN21(BaseModel):
def __init__(self, model_config, model_type=ModelType.FLOW, image_to_video=False, device=None):