Support PID 1.5 models. (#14894)

This commit is contained in:
comfyanonymous
2026-07-12 09:43:30 -07:00
committed by GitHub
parent 8b099de36a
commit 917faef771
4 changed files with 140 additions and 17 deletions

View File

@@ -470,15 +470,46 @@ def detect_unet_config(state_dict, key_prefix, metadata=None):
# PiD (Pixel Diffusion Decoder). Must check BEFORE plain PixelDiT_T2I.
_lq_w_key = '{}lq_proj.latent_proj.0.weight'.format(key_prefix)
if _lq_w_key in state_dict_keys:
in_ch = int(state_dict[_lq_w_key].shape[1])
latent_proj_in_channels = int(state_dict[_lq_w_key].shape[1])
hidden_dim = int(state_dict[_lq_w_key].shape[0])
_gate_prefix = '{}lq_proj.gate_modules.'.format(key_prefix)
num_gates = len({k[len(_gate_prefix):].split('.')[0]
for k in state_dict_keys if k.startswith(_gate_prefix)})
pid_v1_5 = '{}lq_proj.pit_head.weight'.format(key_prefix) in state_dict_keys
dit_config = {"image_model": "pid",
"lq_latent_channels": in_ch,
"latent_spatial_down_factor": 16 if in_ch >= 64 else 8}
"lq_hidden_dim": hidden_dim}
if num_gates > 0:
dit_config["lq_interval"] = (14 + num_gates - 1) // num_gates
if pid_v1_5:
pid_v1_5_variants = {
16: { # Flux and QwenImage
"lq_latent_channels": 16,
"latent_spatial_down_factor": 8,
"lq_latent_unpatchify_factor": 1,
},
32: { # Flux2 after 2x latent unpatchify
"lq_latent_channels": 128,
"latent_spatial_down_factor": 16,
"lq_latent_unpatchify_factor": 2,
},
}
variant = pid_v1_5_variants.get(latent_proj_in_channels)
if variant is None:
raise ValueError(f"Unsupported PiD v1.5 latent projection with {latent_proj_in_channels} input channels")
gate_weight = state_dict['{}lq_proj.gate_modules.0.content_proj.weight'.format(key_prefix)]
dit_config.update(variant)
dit_config.update({
"lq_conv_padding_mode": "replicate",
"lq_gate_per_token": gate_weight.shape[0] == 1,
"pit_lq_inject": True,
"rope_ref_h": 2048,
"rope_ref_w": 2048,
})
else:
dit_config.update({
"lq_latent_channels": latent_proj_in_channels,
"latent_spatial_down_factor": 16 if latent_proj_in_channels >= 64 else 8,
})
return dit_config
if '{}core.pixel_embedder.proj.weight'.format(key_prefix) in state_dict_keys: # PixelDiT T2I