This workflow will bring you the same effect of magnific.ai style change application.

where can I find this model?

TTplanet_realistic_mix3.safetensors

I'm trying to use other model, the result are good but do you how to maintain the maximum similarity with the clothes  ? by the way, excellent job! congratulations!

what can do with that ?

When loading the graph, the following node types were not found:

• JWImageResizeByLongerSide
• easy imageSizeNodes that have failed to load will show as red on the graph.

can you share your model?

I'm newbie, how to download control net model use cli?

The result quality is so much depended on whether the model recognize the person in the image or not

i get this,why?

pler: Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0! (when checking argument for argument mat1 in method wrapper_CUDA_addmm) File "H:\sdacelab\tools\ComfyUI_windows_portable\ComfyUI\execution.py", line 151, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\sdacelab\tools\ComfyUI_windows_portable\ComfyUI\execution.py", line 81, in get_output_data return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "H:\sdacelab\tools\ComfyUI_windows_portable\ComfyUI\execution.py", line 74, in map_node_over_list results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))

Error occurred when executing KSampler:

'NoneType' object has no attribute 'shape'

 File "C:\ComfyUI_windows_portable_nvidia_cu118_or_cpu\ComfyUI_windows_portable\ComfyUI\execution.py", line 151, in recursive_execute
   output_data, output_ui = get_output_data(obj, input_data_all)
 File "C:\ComfyUI_windows_portable_nvidia_cu118_or_cpu\ComfyUI_windows_portable\ComfyUI\execution.py", line 81, in get_output_data
   return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
 File "C:\ComfyUI_windows_portable_nvidia_cu118_or_cpu\ComfyUI_windows_portable\ComfyUI\execution.py", line 74, in map_node_over_list
   results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
 File "C:\ComfyUI_windows_portable_nvidia_cu118_or_cpu\ComfyUI_windows_portable\ComfyUI\nodes.py", line 1344, in sample
   return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
 File "C:\ComfyUI_windows_portable_nvidia_cu118_or_cpu\ComfyUI_windows_portable\ComfyUI\nodes.py", line 1314, in common_ksampler
   samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
 File "C:\ComfyUI_windows_portable_nvidia_cu118_or_cpu\ComfyUI_windows_portable\ComfyUI\custom_nodes\Comfyui-StableSR\nodes.py", line 75, in hook_sample
   return original_sample(*args, **kwargs)
 File "C:\ComfyUI_windows_portable_nvidia_cu118_or_cpu\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 "C:\ComfyUI_windows_portable_nvidia_cu118_or_cpu\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\control_reference.py", line 47, in refcn_sample
   return orig_comfy_sample(model, *args, **kwargs)
 File "C:\ComfyUI_windows_portable_nvidia_cu118_or_cpu\ComfyUI_windows_portable\ComfyUI\comfy\sample.py", line 37, in sample
   samples = sampler.sample(noise, positive, negative, 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 "C:\ComfyUI_windows_portable_nvidia_cu118_or_cpu\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 755, 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 "C:\ComfyUI_windows_portable_nvidia_cu118_or_cpu\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 657, in sample
   return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
 File "C:\ComfyUI_windows_portable_nvidia_cu118_or_cpu\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 644, in sample
   output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
 File "C:\ComfyUI_windows_portable_nvidia_cu118_or_cpu\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 623, in inner_sample
   samples = sampler.sample(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
 File "C:\ComfyUI_windows_portable_nvidia_cu118_or_cpu\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 534, in sample
   samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options)
 File "C:\ComfyUI_windows_portable_nvidia_cu118_or_cpu\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
   return func(*args, **kwargs)
 File "C:\ComfyUI_windows_portable_nvidia_cu118_or_cpu\ComfyUI_windows_portable\ComfyUI\comfy\k_diffusion\sampling.py", line 154, in sample_euler_ancestral
   denoised = model(x, sigmas[i] * s_in, **extra_args)
 File "C:\ComfyUI_windows_portable_nvidia_cu118_or_cpu\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 272, in __call__
   out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
 File "C:\ComfyUI_windows_portable_nvidia_cu118_or_cpu\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 610, in __call__
   return self.predict_noise(*args, **kwargs)
 File "C:\ComfyUI_windows_portable_nvidia_cu118_or_cpu\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 613, in predict_noise
   return sampling_function(self.inner_model, x, timestep, self.conds.get("negative", None), self.conds.get("positive", None), self.cfg, model_options=model_options, seed=seed)
 File "C:\ComfyUI_windows_portable_nvidia_cu118_or_cpu\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 258, in sampling_function
   out = calc_cond_batch(model, conds, x, timestep, model_options)
 File "C:\ComfyUI_windows_portable_nvidia_cu118_or_cpu\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 192, in calc_cond_batch
   c['control'] = control.get_control(input_x, timestep_, c, len(cond_or_uncond))
 File "C:\ComfyUI_windows_portable_nvidia_cu118_or_cpu\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\utils.py", line 536, in get_control_inject
   return self.get_control_advanced(x_noisy, t, cond, batched_number)
 File "C:\ComfyUI_windows_portable_nvidia_cu118_or_cpu\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\control.py", line 32, in get_control_advanced
   return self.sliding_get_control(x_noisy, t, cond, batched_number)
 File "C:\ComfyUI_windows_portable_nvidia_cu118_or_cpu\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\control.py", line 78, in sliding_get_control
   control = self.control_model(x=x_noisy.to(dtype), hint=self.cond_hint, timesteps=timestep.float(), context=context.to(dtype), y=y)
 File "C:\ComfyUI_windows_portable_nvidia_cu118_or_cpu\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl
   return self._call_impl(*args, **kwargs)
 File "C:\ComfyUI_windows_portable_nvidia_cu118_or_cpu\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl
   return forward_call(*args, **kwargs)
 File "C:\ComfyUI_windows_portable_nvidia_cu118_or_cpu\ComfyUI_windows_portable\ComfyUI\comfy\cldm\cldm.py", line 295, in forward
   assert y.shape[0] == x.shape[0]

Queue size: 0

Extra options

Ksampler has an error, does anyone know how to solve this error? error?

I'd love a little bit of a step-by-step gif or video on how you'd set this up with an example model ect. (this since the current model in here is a personal one not available).

I'm a noob to this website so its kind of hard to know what I should be doing here for loading models ect. Came over from your work at Civitai.

Mostly just swapping the Load Checkpoint and ControlNet Model randomly and hoping it works.

AdvancedControlNetApply.apply_controlnet() got an unexpected keyword argument 'weights_override'

how to fix this error?

Error occurred when executing KSampler: 'NoneType' object has no attribute 'shape'

您好，我在本地和 云端都是这个结果，请问是哪里的问题，感谢您

what diffent between v20 and v10

Missing TEXT BOX node

🚀 Now you can Edit & Run it online (Fast & Error Free):

该工作流在线编辑运行地址：（速度快，不爆红）

https://www.runninghub.ai/post/1864189231651307522/?utm_source=openart

https://www.runninghub.cn/post/1864172097839775745/?utm_source=openart

RunningHub – Highly reliable Cloud-Based ComfyUI, Edit and Run Workflows Online, no local installation required. Powered by RTX 4090 GPUs for faster performance and fully error-free node operation.

RunningHub - 超高可用性云端ComfyUI，本地免安装，标配RTX4090带来更快运行速度，站内已发布海量高质量工作流可一键运行，速度快，不爆红

-------------------------------------

👋🏻 Hello 汤团猪,    
I’m Spike from RunningHub.  I hope this message finds you well! I wanted to kindly inform you that we’ve copied your workflow to RunningHub (with the original author clearly credited and a link to your OpenArt profile). The purpose is to allow more users who love your work to easily experience it online.  
We’d love to hear from you at: spike@runninghub.ai
🎉 If you’re open to joining us, we can transfer the workflows we’ve uploaded to your RunningHub account and provide you with additional benefits as a token of our appreciation.
😞 However, if you’re not comfortable with this approach, we will promptly remove all the uploaded content.    
Looking forward to your response!

Works AWWWSOME! Thanks for brining this to the community!