It change UNetModel and VAE Conv2d Layer into circular padding mode that make any text2image process generate seamless patten _2024-6-19 Update:_ *SeamlessVae Node:* ```python patcher = vae.patcher.clone() for layer in patcher.model.modules(): if (isinstance(layer, nn.Conv2d)): pre_hook = layer.register_forward_pre_hook(vae_circular_hook_pre) hook = layer.register_forward_hook(vae_circular_hook) setattr(layer, 'circular_pre_hook', pre_hook) setattr(layer, 'circular_hook', hook) vae.patcher = patcher vae.first_stage_model = patcher.model ``` *SeamlessKSampler Node:* ```python padding_mode_list = [] for layer in model.model.diffusion_model.modules(): if (isinstance(layer, nn.Conv2d)): padding_mode_list.append(layer.padding_mode) layer.padding_mode = 'circular' ret = common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise) ind = 0 for layer in model.model.diffusion_model.modules(): if (isinstance(layer, nn.Conv2d)): padding_mode_list.append(layer.padding_mode) layer.padding_mode = padding_mode_list[ind] ind += 1 ```

SeamlessVae

Inputs (1)

Outputs (1)