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Support PID 1.5 models. (#14894)
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@@ -470,15 +470,46 @@ def detect_unet_config(state_dict, key_prefix, metadata=None):
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# PiD (Pixel Diffusion Decoder). Must check BEFORE plain PixelDiT_T2I.
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_lq_w_key = '{}lq_proj.latent_proj.0.weight'.format(key_prefix)
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if _lq_w_key in state_dict_keys:
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in_ch = int(state_dict[_lq_w_key].shape[1])
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latent_proj_in_channels = int(state_dict[_lq_w_key].shape[1])
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hidden_dim = int(state_dict[_lq_w_key].shape[0])
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_gate_prefix = '{}lq_proj.gate_modules.'.format(key_prefix)
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num_gates = len({k[len(_gate_prefix):].split('.')[0]
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for k in state_dict_keys if k.startswith(_gate_prefix)})
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pid_v1_5 = '{}lq_proj.pit_head.weight'.format(key_prefix) in state_dict_keys
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dit_config = {"image_model": "pid",
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"lq_latent_channels": in_ch,
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"latent_spatial_down_factor": 16 if in_ch >= 64 else 8}
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"lq_hidden_dim": hidden_dim}
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if num_gates > 0:
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dit_config["lq_interval"] = (14 + num_gates - 1) // num_gates
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if pid_v1_5:
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pid_v1_5_variants = {
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16: { # Flux and QwenImage
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"lq_latent_channels": 16,
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"latent_spatial_down_factor": 8,
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"lq_latent_unpatchify_factor": 1,
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},
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32: { # Flux2 after 2x latent unpatchify
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"lq_latent_channels": 128,
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"latent_spatial_down_factor": 16,
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"lq_latent_unpatchify_factor": 2,
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},
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}
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variant = pid_v1_5_variants.get(latent_proj_in_channels)
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if variant is None:
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raise ValueError(f"Unsupported PiD v1.5 latent projection with {latent_proj_in_channels} input channels")
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gate_weight = state_dict['{}lq_proj.gate_modules.0.content_proj.weight'.format(key_prefix)]
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dit_config.update(variant)
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dit_config.update({
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"lq_conv_padding_mode": "replicate",
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"lq_gate_per_token": gate_weight.shape[0] == 1,
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"pit_lq_inject": True,
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"rope_ref_h": 2048,
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"rope_ref_w": 2048,
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})
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else:
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dit_config.update({
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"lq_latent_channels": latent_proj_in_channels,
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"latent_spatial_down_factor": 16 if latent_proj_in_channels >= 64 else 8,
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})
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return dit_config
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if '{}core.pixel_embedder.proj.weight'.format(key_prefix) in state_dict_keys: # PixelDiT T2I
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