What ui to use?

#30
by williamparker88 - opened

Hello, sorry for my stupid question but which UI to use for this model?

comfy ui. look up sebastian kamph tutorial on youtube. https://www.youtube.com/watch?v=HOVYu2UbgEE

what happend when i run queue prompt, its out a wrong windows.

Error occurred when executing KSampler:

unsupported operand type(s) for *=: 'int' and 'NoneType'

File "F:\AI\ComfyUI\ComfyUI\execution.py", line 153, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "F:\AI\ComfyUI\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 "F:\AI\ComfyUI\ComfyUI\execution.py", line 76, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "F:\AI\ComfyUI\ComfyUI\nodes.py", line 1299, in sample
return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
File "F:\AI\ComfyUI\ComfyUI\nodes.py", line 1269, in common_ksampler
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
File "F:\AI\ComfyUI\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 "F:\AI\ComfyUI\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 178, in animatediff_sample
return orig_comfy_sample(model, noise, *args, **kwargs)
File "F:\AI\ComfyUI\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 "F:\AI\ComfyUI\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 "F:\AI\ComfyUI\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 "F:\AI\ComfyUI\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 "F:\AI\ComfyUI\python_embeded\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "F:\AI\ComfyUI\ComfyUI\comfy\k_diffusion\sampling.py", line 137, in sample_euler
denoised = model(x, sigma_hat * s_in, **extra_args)
File "F:\AI\ComfyUI\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "F:\AI\ComfyUI\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "F:\AI\ComfyUI\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 "F:\AI\ComfyUI\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "F:\AI\ComfyUI\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1527, in call_impl
return forward_call(*args, **kwargs)
File "F:\AI\ComfyUI\ComfyUI\comfy\samplers.py", line 267, in forward
return self.apply_model(*args, **kwargs)
File "F:\AI\ComfyUI\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 "F:\AI\ComfyUI\ComfyUI\comfy\samplers.py", line 252, in sampling_function
cond, uncond = calc_cond_uncond_batch(model, cond, uncond, x, timestep, model_options)
File "F:\AI\ComfyUI\ComfyUI\comfy\samplers.py", line 230, in calc_cond_uncond_batch
output = model.apply_model(input_x, timestep
, **c).chunk(batch_chunks)
File "F:\AI\ComfyUI\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 "F:\AI\ComfyUI\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "F:\AI\ComfyUI\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "F:\AI\ComfyUI\ComfyUI\custom_nodes\FreeU_Advanced\nodes.py", line 173, in __temp__forward
h = forward_timestep_embed(module, h, emb, context, transformer_options)
File "F:\AI\ComfyUI\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 38, in forward_timestep_embed
x = layer(x, emb, num_video_frames, image_only_indicator)
File "F:\AI\ComfyUI\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "F:\AI\ComfyUI\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "F:\AI\ComfyUI\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 338, in forward
x_mix = rearrange(x, "(b t) c h w -> b c t h w", t=num_video_frames)
File "F:\AI\ComfyUI\python_embeded\lib\site-packages\einops\einops.py", line 591, in rearrange
return reduce(tensor, pattern, reduction="rearrange", **axes_lengths)
File "F:\AI\ComfyUI\python_embeded\lib\site-packages\einops\einops.py", line 523, in reduce
return _apply_recipe(
File "F:\AI\ComfyUI\python_embeded\lib\site-packages\einops\einops.py", line 239, in _apply_recipe
_result = _reconstruct_from_shape_uncached(recipe, backend.shape(tensor), axes_lengths)
File "F:\AI\ComfyUI\python_embeded\lib\site-packages\einops\einops.py", line 179, in _reconstruct_from_shape_uncached
known_product *= axes_lengths[axis]

Do I need to use ComfyUI to use this repo?

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