RuntimeError: input must be 4-dimensional (new sd-video related)

System : ryzen 3600 - rx 6600 8 GB - Windows 10 - Latest comfyui

Using the sample workflow on the blog (https://comfyanonymous.github.io/ComfyUI_examples/video/) I try generating with the new
svd model, I always get this error :

`ERROR:root:!!! Exception during processing !!!
ERROR:root:Traceback (most recent call last):
File "D:\ComfyUI\execution.py", line 153, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "D:\ComfyUI\execution.py", line 83, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
File "D:\ComfyUI\execution.py", line 76, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "D:\ComfyUI\nodes.py", line 1286, in sample
return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
File "D:\ComfyUI\nodes.py", line 1256, in common_ksampler
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
File "D:\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\sample_error_enhancer.py", line 22, in informative_sample
raise e
File "D:\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\sample_error_enhancer.py", line 9, in informative_sample
return original_sample(*args, **kwargs)
File "D:\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 173, in animatediff_sample
return orig_comfy_sample(model, noise, *args, **kwargs)
File "D:\ComfyUI\comfy\sample.py", line 100, in sample
samples = sampler.sample(noise, positive_copy, negative_copy, cfg=cfg, latent_image=latent_image, start_step=start_step, last_step=last_step, force_full_denoise=force_full_denoise, denoise_mask=noise_mask, sigmas=sigmas, callback=callback, disable_pbar=disable_pbar, seed=seed)
File "D:\ComfyUI\comfy\samplers.py", line 711, in sample
return sample(self.model, noise, positive, negative, cfg, self.device, sampler, sigmas, self.model_options, latent_image=latent_image, denoise_mask=denoise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed)
File "D:\ComfyUI\comfy\samplers.py", line 617, in sample
samples = sampler.sample(model_wrap, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
File "D:\ComfyUI\comfy\samplers.py", line 556, in sample
samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options)
File "D:\ComfyUI\venv\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "D:\ComfyUI\comfy\k_diffusion\sampling.py", line 137, in sample_euler
denoised = model(x, sigma_hat * s_in, **extra_args)
File "D:\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "D:\ComfyUI\comfy\samplers.py", line 277, in forward
out = self.inner_model(x, sigma, cond=cond, uncond=uncond, cond_scale=cond_scale, model_options=model_options, seed=seed)
File "D:\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "D:\ComfyUI\comfy\samplers.py", line 267, in forward
return self.apply_model(*args, **kwargs)
File "D:\ComfyUI\comfy\samplers.py", line 264, in apply_model
out = sampling_function(self.inner_model, x, timestep, uncond, cond, cond_scale, model_options=model_options, seed=seed)
File "D:\ComfyUI\comfy\samplers.py", line 252, in sampling_function
cond, uncond = calc_cond_uncond_batch(model, cond, uncond, x, timestep, model_options)
File "D:\ComfyUI\comfy\samplers.py", line 230, in calc_cond_uncond_batch
output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
File "D:\ComfyUI\comfy\model_base.py", line 73, in apply_model
model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float()
File "D:\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "D:\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 854, in forward
h = forward_timestep_embed(module, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)
File "D:\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 38, in forward_timestep_embed
x = layer(x, emb, num_video_frames, image_only_indicator)
File "D:\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "D:\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 340, in forward
x = self.time_stack(
File "D:\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "D:\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 232, in forward
return checkpoint(
File "D:\ComfyUI\comfy\ldm\modules\diffusionmodules\util.py", line 190, in checkpoint
return func(*inputs)
File "D:\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 245, in _forward
h = self.in_layers(x)
File "D:\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "D:\ComfyUI\venv\lib\site-packages\torch\nn\modules\container.py", line 217, in forward
input = module(input)
File "D:\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "D:\ComfyUI\venv\lib\site-packages\torch\nn\modules\conv.py", line 613, in forward
return self._conv_forward(input, self.weight, self.bias)
File "D:\ComfyUI\venv\lib\site-packages\torch\nn\modules\conv.py", line 608, in _conv_forward
return F.conv3d(
RuntimeError: input must be 4-dimensional`

Couldn't find any mention of it here.