alibaba-pai

/

Z-Image-Turbo-Fun-Controlnet-Union-2.1

like 404

Follow

Alibaba-PAI 3.72k

I tested the old works but the new gives me a error :

Error(s) in loading state_dict for ZImage_Control:
Unexpected key(s) in state_dict: "control_layers.10.adaLN_modulation.0.bias", "control_layers.10.adaLN_modulation.0.weight", "control_layers.10.after_proj.bias", "control_layers.10.after_proj.weight", "control_layers.10.attention.k_norm.weight", "control_layers.10.attention.q_norm.weight", "control_layers.10.attention.out.weight", "control_layers.10.attention.qkv.weight", "control_layers.10.attention_norm1.weight", "control_layers.10.attention_norm2.weight", "control_layers.10.feed_forward.w1.weight", "control_layers.10.feed_forward.w2.weight", "control_layers.10.feed_forward.w3.weight", "control_layers.10.ffn_norm1.weight", "control_layers.10.ffn_norm2.weight", "control_layers.11.adaLN_modulation.0.bias", "control_layers.11.adaLN_modulation.0.weight", "control_layers.11.after_proj.bias", "control_layers.11.after_proj.weight", "control_layers.11.attention.k_norm.weight", "control_layers.11.attention.q_norm.weight", "control_layers.11.attention.out.weight", "control_layers.11.attention.qkv.weight", "control_layers.11.attention_norm1.weight", "control_layers.11.attention_norm2.weight", "control_layers.11.feed_forward.w1.weight", "control_layers.11.feed_forward.w2.weight", "control_layers.11.feed_forward.w3.weight", "control_layers.11.ffn_norm1.weight", "control_layers.11.ffn_norm2.weight", "control_layers.12.adaLN_modulation.0.bias", "control_layers.12.adaLN_modulation.0.weight", "control_layers.12.after_proj.bias", "control_layers.12.after_proj.weight", "control_layers.12.attention.k_norm.weight", "control_layers.12.attention.q_norm.weight", "control_layers.12.attention.out.weight", "control_layers.12.attention.qkv.weight", "control_layers.12.attention_norm1.weight", "control_layers.12.attention_norm2.weight", "control_layers.12.feed_forward.w1.weight", "control_layers.12.feed_forward.w2.weight", "control_layers.12.feed_forward.w3.weight", "control_layers.12.ffn_norm1.weight", "control_layers.12.ffn_norm2.weight", "control_layers.13.adaLN_modulation.0.bias", "control_layers.13.adaLN_modulation.0.weight", "control_layers.13.after_proj.bias", "control_layers.13.after_proj.weight", "control_layers.13.attention.k_norm.weight", "control_layers.13.attention.q_norm.weight", "control_layers.13.attention.out.weight", "control_layers.13.attention.qkv.weight", "control_layers.13.attention_norm1.weight", "control_layers.13.attention_norm2.weight", "control_layers.13.feed_forward.w1.weight", "control_layers.13.feed_forward.w2.weight", "control_layers.13.feed_forward.w3.weight", "control_layers.13.ffn_norm1.weight", "control_layers.13.ffn_norm2.weight", "control_layers.14.adaLN_modulation.0.bias", "control_layers.14.adaLN_modulation.0.weight", "control_layers.14.after_proj.bias", "control_layers.14.after_proj.weight", "control_layers.14.attention.k_norm.weight", "control_layers.14.attention.q_norm.weight", "control_layers.14.attention.out.weight", "control_layers.14.attention.qkv.weight", "control_layers.14.attention_norm1.weight", "control_layers.14.attention_norm2.weight", "control_layers.14.feed_forward.w1.weight", "control_layers.14.feed_forward.w2.weight", "control_layers.14.feed_forward.w3.weight", "control_layers.14.ffn_norm1.weight", "control_layers.14.ffn_norm2.weight", "control_layers.6.adaLN_modulation.0.bias", "control_layers.6.adaLN_modulation.0.weight", "control_layers.6.after_proj.bias", "control_layers.6.after_proj.weight", "control_layers.6.attention.k_norm.weight", "control_layers.6.attention.q_norm.weight", "control_layers.6.attention.out.weight", "control_layers.6.attention.qkv.weight", "control_layers.6.attention_norm1.weight", "control_layers.6.attention_norm2.weight", "control_layers.6.feed_forward.w1.weight", "control_layers.6.feed_forward.w2.weight", "control_layers.6.feed_forward.w3.weight", "control_layers.6.ffn_norm1.weight", "control_layers.6.ffn_norm2.weight", "control_layers.7.adaLN_modulation.0.bias", "control_layers.7.adaLN_modulation.0.weight", "control_layers.7.after_proj.bias", "control_layers.7.after_proj.weight", "control_layers.7.attention.k_norm.weight", "control_layers.7.attention.q_norm.weight", "control_layers.7.attention.out.weight", "control_layers.7.attention.qkv.weight", "control_layers.7.attention_norm1.weight", "control_layers.7.attention_norm2.weight", "control_layers.7.feed_forward.w1.weight", "control_layers.7.feed_forward.w2.weight", "control_layers.7.feed_forward.w3.weight", "control_layers.7.ffn_norm1.weight", "control_layers.7.ffn_norm2.weight", "control_layers.8.adaLN_modulation.0.bias", "control_layers.8.adaLN_modulation.0.weight", "control_layers.8.after_proj.bias", "control_layers.8.after_proj.weight", "control_layers.8.attention.k_norm.weight", "control_layers.8.attention.q_norm.weight", "control_layers.8.attention.out.weight", "control_layers.8.attention.qkv.weight", "control_layers.8.attention_norm1.weight", "control_layers.8.attention_norm2.weight", "control_layers.8.feed_forward.w1.weight", "control_layers.8.feed_forward.w2.weight", "control_layers.8.feed_forward.w3.weight", "control_layers.8.ffn_norm1.weight", "control_layers.8.ffn_norm2.weight", "control_layers.9.adaLN_modulation.0.bias", "control_layers.9.adaLN_modulation.0.weight", "control_layers.9.after_proj.bias", "control_layers.9.after_proj.weight", "control_layers.9.attention.k_norm.weight", "control_layers.9.attention.q_norm.weight", "control_layers.9.attention.out.weight", "control_layers.9.attention.qkv.weight", "control_layers.9.attention_norm1.weight", "control_layers.9.attention_norm2.weight", "control_layers.9.feed_forward.w1.weight", "control_layers.9.feed_forward.w2.weight", "control_layers.9.feed_forward.w3.weight", "control_layers.9.ffn_norm1.weight", "control_layers.9.ffn_norm2.weight", "control_noise_refiner.0.after_proj.bias", "control_noise_refiner.0.after_proj.weight", "control_noise_refiner.0.before_proj.bias", "control_noise_refiner.0.before_proj.weight", "control_noise_refiner.1.after_proj.bias", "control_noise_refiner.1.after_proj.weight".
size mismatch for control_all_x_embedder.2-1.weight: copying a param with shape torch.Size([3840, 132]) from checkpoint, the shape in current model is torch.Size([3840, 64]).

I guess we need wait comfy ui to update to support the new union? or maybe is just me getting errors?