如何评估扩散先验?
RuntimeError: Error(s) in loading state_dict for DiffusionPrior: Missing key(s) in state_dict: "noise_scheduler.betas", "noise_scheduler.alphas_cumprod", "noise_scheduler.alphas_cumprod_prev", "noise_scheduler.sqrt_alphas_cumprod", "noise_scheduler.sqrt_one_minus_alphas_cumprod", "noise_scheduler.log_one_minus_alphas_cumprod", "noise_scheduler.sqrt_recip_alphas_cumprod", "noise_scheduler.sqrt_recipm1_alphas_cumprod", "noise_scheduler.posterior_variance", "noise_scheduler.posterior_log_variance_clipped", "noise_scheduler.posterior_mean_coef1", "noise_scheduler.posterior_mean_coef2", "noise_scheduler.p2_loss_weight", "net.null_text_encodings", "net.null_text_embeds", "net.null_image_embed", "net.causal_transformer.layers.0.0.norm.g", "net.causal_transformer.layers.0.0.to_out.1.g", "net.causal_transformer.layers.0.1.0.g", "net.causal_transformer.layers.0.1.3.g", "net.causal_transformer.layers.1.0.norm.g", "net.causal_transformer.layers.1.0.to_out.1.g", "net.causal_transformer.layers.1.1.0.g", "net.causal_transformer.layers.1.1.3.g", "net.causal_transformer.layers.2.0.norm.g", "net.causal_transformer.layers.2.0.to_out.1.g", "net.causal_transformer.layers.2.1.0.g", "net.causal_transformer.layers.2.1.3.g", "net.causal_transformer.layers.3.0.norm.g", "net.causal_transformer.layers.3.0.to_out.1.g", "net.causal_transformer.layers.3.1.0.g", "net.causal_transformer.layers.3.1.3.g", "net.causal_transformer.layers.4.0.norm.g", "net.causal_transformer.layers.4.0.to_out.1.g", "net.causal_transformer.layers.4.1.0.g",
内容来源: lucidrains/DALLE2-pytorch