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This is Version 8.5 tutorial: https://www.youtube.com/watch?v=O99foVhbILs 

With the AnimateDiff workflow, you can take your animations to the next level. This latest version introduces new features and functionalities that enhance the layering and organization of scenes in a cinematic style. Discover how this workflow can improve your animation projects and streamline your workflow.


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Stable Diffusion ComfyUI Workflow Use AnimateDiff To Create Cinematic Style AI Video

We will provide an in-depth review of the AnimateDiff workflow, specifically version 8.5. This powerful animation tool enhances your creative process and allows you to create stunning animated sequences effortlessly. With the AnimateDiff workflow, you can take your animations to the next level. This latest version introduces new features and functionalities that enhance the layering and organization of scenes in a cinematic style. Discover how this workflow can improve your animation projects and streamline your workflow. In this video, we will walk you through the various components of the workflow, including the control net groups and the IP adapter Face ID integration. These features provide you with unparalleled control and customization options, allowing you to create animations that are visually captivating and realistic. By utilizing the modularity of the workflow, you can easily customize your animation process. Choose which elements to apply or bypass according to your specific needs, saving time and resources. The IP adapter Face ID integration simplifies the process of incorporating Face ID into your animations, adding a new level of realism and expressiveness to your characters. To download the AnimateDiff workflow, visit our website and access the most up-to-date version. We have also provided download links for the necessary models to optimize your workflow. Take advantage of this opportunity to unlock the full potential of your animation projects. Detail Article and Resource of this update : https://thefuturethinker.org/animatediff-flicker-free-controlnet-lcm-workflow-ver-8-5/ If You Like tutorial like this, You Can Support Our Work In Patreon: https://www.patreon.com/aifuturetech/ Discord : https://discord.gg/vKUYmdSS Subscribe to our channel for more tutorials, tips, and reviews on the latest animation tools and techniques.

Comments

Mauricio Tonon

its not exactly on this workflow, but I keep getting this error on different workflwos: Im keeping getting this error on my workflow: Error occurred when executing KSamplerAdvanced: 'ModuleList' object has no attribute '1' File "D:\COMFYUI\ComfyUI_windows_portable\ComfyUI\execution.py", line 154, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\COMFYUI\ComfyUI_windows_portable\ComfyUI\execution.py", line 84, in get_output_data return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\COMFYUI\ComfyUI_windows_portable\ComfyUI\execution.py", line 77, in map_node_over_list results.append(getattr(obj, func)(**slice_dict(input_data_all, i))) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\COMFYUI\ComfyUI_windows_portable\ComfyUI\nodes.py", line 1333, in sample return common_ksampler(model, noise_seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise, disable_noise=disable_noise, start_step=start_at_step, last_step=end_at_step, force_full_denoise=force_full_denoise) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\COMFYUI\ComfyUI_windows_portable\ComfyUI\nodes.py", line 1269, in common_ksampler samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\COMFYUI\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\sample_error_enhancer.py", line 9, in informative_sample return original_sample(*args, **kwargs) # This code helps interpret error messages that occur within exceptions but does not have any impact on other operations. ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\COMFYUI\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 299, in motion_sample latents = wrap_function_to_inject_xformers_bug_info(orig_comfy_sample)(model, noise, *args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\COMFYUI\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\model_utils.py", line 205, in wrapped_function return function_to_wrap(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\COMFYUI\ComfyUI_windows_portable\ComfyUI\comfy\sample.py", line 101, 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\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 716, 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\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 615, in sample pre_run_control(model, negative + positive) File "D:\COMFYUI\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 452, in pre_run_control x['control'].pre_run(model, percent_to_timestep_function) File "D:\COMFYUI\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\control\utils.py", line 388, in pre_run_inject self.base.pre_run(model, percent_to_timestep_function) File "D:\COMFYUI\ComfyUI_windows_portable\ComfyUI\comfy\controlnet.py", line 266, in pre_run super().pre_run(model, percent_to_timestep_function) File "D:\COMFYUI\ComfyUI_windows_portable\ComfyUI\comfy\controlnet.py", line 191, in pre_run super().pre_run(model, percent_to_timestep_function) File "D:\COMFYUI\ComfyUI_windows_portable\ComfyUI\comfy\controlnet.py", line 56, in pre_run self.previous_controlnet.pre_run(model, percent_to_timestep_function) File "D:\COMFYUI\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\control\utils.py", line 388, in pre_run_inject self.base.pre_run(model, percent_to_timestep_function) File "D:\COMFYUI\ComfyUI_windows_portable\ComfyUI\comfy\controlnet.py", line 297, in pre_run comfy.utils.set_attr(self.control_model, k, self.control_weights[k].to(dtype).to(comfy.model_management.get_torch_device())) File "D:\COMFYUI\ComfyUI_windows_portable\ComfyUI\comfy\utils.py", line 279, in set_attr obj = getattr(obj, name) ^^^^^^^^^^^^^^^^^^ File "D:\COMFYUI\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1695, in _getattr_ raise AttributeError(f"'{type(self).__name__}' object has no attribute '{name}'") Do you know what it is and how to solve it? Thanks!!

Innovate Futures @ Benji

Don't know your situation and Confyui setting , can't answer this. Maybe try to update your Comfy and see.

Mauricio Tonon

all updated, no errors in any loading nodes, just when it gets to Ksampler/ Will you be up to do a call and help me solve the problem? paid of course.