Feat: z-image pixel space (model still training atm) (#12709)
* draft zeta (z-image pixel space) * revert gitignore * model loaded and able to run however vector direction still wrong tho * flip the vector direction to original again this time * Move wrongly positioned Z image pixel space class * inherit Radiance LatentFormat class * Fix parameters in classes for Zeta x0 dino * remove arbitrary nn.init instances * Remove unused import of lru_cache --------- Co-authored-by: silveroxides <ishimarukaito@gmail.com>
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@@ -464,6 +464,29 @@ def detect_unet_config(state_dict, key_prefix, metadata=None):
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if sig_weight is not None:
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dit_config["siglip_feat_dim"] = sig_weight.shape[0]
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dec_cond_key = '{}dec_net.cond_embed.weight'.format(key_prefix)
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if dec_cond_key in state_dict_keys: # pixel-space variant
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dit_config["image_model"] = "zimage_pixel"
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# patch_size and in_channels are derived from x_embedder:
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# x_embedder: Linear(patch_size * patch_size * in_channels, dim)
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# The decoder also receives the full flat patch, so decoder_in_channels = x_embedder input dim.
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x_emb_in = state_dict['{}x_embedder.weight'.format(key_prefix)].shape[1]
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dec_out = state_dict['{}dec_net.final_layer.linear.weight'.format(key_prefix)].shape[0]
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# patch_size: infer from decoder final layer output matching x_embedder input
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# in_channels: infer from dec_net input_embedder (in_features = dec_in_ch + max_freqs^2)
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embedder_w = state_dict['{}dec_net.input_embedder.embedder.0.weight'.format(key_prefix)]
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dec_in_ch = dec_out # decoder in == decoder out (same pixel space)
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dit_config["patch_size"] = round((x_emb_in / 3) ** 0.5) # assume RGB (in_channels=3)
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dit_config["in_channels"] = 3
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dit_config["decoder_in_channels"] = dec_in_ch
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dit_config["decoder_hidden_size"] = state_dict[dec_cond_key].shape[0]
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dit_config["decoder_num_res_blocks"] = count_blocks(
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state_dict_keys, '{}dec_net.res_blocks.'.format(key_prefix) + '{}.'
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)
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dit_config["decoder_max_freqs"] = int((embedder_w.shape[1] - dec_in_ch) ** 0.5)
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if '{}__x0__'.format(key_prefix) in state_dict_keys:
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dit_config["use_x0"] = True
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return dit_config
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if '{}head.modulation'.format(key_prefix) in state_dict_keys: # Wan 2.1
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