search

ArtVentureX / comfyui-animatediff

AnimateDiff for ComfyUI
Apache License 2.0
699 stars 45 forks source link

Error occurred when executing AnimateDiffSampler: VanillaTemporalModule.forward() missing 1 required positional argument: 'encoder_hidden_states' #43

Closed huweifirst closed 1 year ago

huweifirst commented 1 year ago

Error occurred when executing AnimateDiffSampler: VanillaTemporalModule.forward() missing 1 required positional argument: 'encoder_hidden_states'

File "D:\SD_Product\Stable\ComfyUI_windows_portable\ComfyUI\execution.py", line 152, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "D:\SD_Product\Stable\ComfyUI_windows_portable\ComfyUI\execution.py", line 82, in get_output_data return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True) File "D:\SD_Product\Stable\ComfyUI_windows_portable\ComfyUI\execution.py", line 75, in map_node_over_list results.append(getattr(obj, func)(slice_dict(input_data_all, i))) File "D:\SD_Product\Stable\ComfyUI_windows_portable\ComfyUI\custom_nodes\comfyui-animatediff\animatediff\sampler.py", line 295, in animatediff_sample return super().sample( File "D:\SD_Product\Stable\ComfyUI_windows_portable\ComfyUI\nodes.py", line 1236, in sample return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise) File "D:\SD_Product\Stable\ComfyUI_windows_portable\ComfyUI\nodes.py", line 1206, in common_ksampler samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, File "D:\SD_Product\Stable\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) File "D:\SD_Product\Stable\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 107, in animatediff_sample return orig_comfy_sample(model, args, kwargs) File "D:\SD_Product\Stable\ComfyUI_windows_portable\ComfyUI\comfy\sample.py", line 97, 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:\SD_Product\Stable\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 785, 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:\SD_Product\Stable\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 690, in sample samples = sampler.sample(model_wrap, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar) File "D:\SD_Product\Stable\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 630, in sample samples = getattr(k_diffusionsampling, "sample{}".format(sampler_name))(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, extra_options) File "D:\SD_Product\Stable\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(*args, *kwargs) File "D:\SD_Product\Stable\ComfyUI_windows_portable\ComfyUI\comfy\k_diffusion\sampling.py", line 137, in sample_euler denoised = model(x, sigma_hat s_in, extra_args) File "D:\SD_Product\Stable\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(*args, kwargs) File "D:\SD_Product\Stable\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 323, in forward out = self.inner_model(x, sigma, cond=cond, uncond=uncond, cond_scale=cond_scale, cond_concat=cond_concat, model_options=model_options, seed=seed) File "D:\SD_Product\Stable\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(*args, *kwargs) File "D:\SD_Product\Stable\ComfyUI_windows_portable\ComfyUI\comfy\k_diffusion\external.py", line 125, in forward eps = self.get_eps(input c_in, self.sigma_to_t(sigma), kwargs) File "D:\SD_Product\Stable\ComfyUI_windows_portable\ComfyUI\comfy\k_diffusion\external.py", line 151, in get_eps return self.inner_model.apply_model(args, kwargs) File "D:\SD_Product\Stable\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 311, in apply_model out = sampling_function(self.inner_model.apply_model, x, timestep, uncond, cond, cond_scale, cond_concat, model_options=model_options, seed=seed) File "D:\SD_Product\Stable\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 289, in sampling_function cond, uncond = calc_cond_uncond_batch(model_function, cond, uncond, x, timestep, max_total_area, cond_concat, model_options) File "D:\SD_Product\Stable\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 265, in calc_cond_uncond_batch output = model_function(inputx, timestep, c).chunk(batch_chunks) File "D:\SD_Product\Stable\ComfyUI_windows_portable\ComfyUI\comfy\model_base.py", line 63, in apply_model return self.diffusion_model(xc, t, context=context, y=c_adm, control=control, transformer_options=transformer_options).float() File "D:\SD_Product\Stable\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(args, kwargs) File "D:\SD_Product\Stable\ComfyUI_windows_portable\ComfyUI\custom_nodes\SeargeSDXL\modules\custom_sdxl_ksampler.py", line 70, in new_unet_forward x0 = old_unet_forward(self, x, timesteps, context, y, control, transformer_options, kwargs) File "D:\SD_Product\Stable\ComfyUI_windows_portable\ComfyUI\custom_nodes\FreeU_Advanced\nodes.py", line 173, in tempforward h = forward_timestep_embed(module, h, emb, context, transformer_options) File "D:\SD_Product\Stable\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 61, in forward_timestep_embed x = layer(x) File "D:\SD_Product\Stable\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(*args, **kwargs)

artventuredev commented 1 year ago

This is the same as #42, let close this and do the discussion on that issue.