[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!
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Inference code keeps generating the same image #61
Has anyone had the experience of generating images using "recon_B3HW = var.autoregressive_infer_cfg(B=1, label_B=torch.tensor([label], device=device), cfg=cfg, top_k=900, top_p=0.96, g_seed=seed, more_smooth=more_smooth)"?
When running the code, it keeps producing the same images for each class!
I do not know what is causing the problem!
Dear everyone,
Has anyone had the experience of generating images using "recon_B3HW = var.autoregressive_infer_cfg(B=1, label_B=torch.tensor([label], device=device), cfg=cfg, top_k=900, top_p=0.96, g_seed=seed, more_smooth=more_smooth)"?
When running the code, it keeps producing the same images for each class! I do not know what is causing the problem!