diff --git a/__init__.py b/__init__.py index b885e40..53a4ef9 100644 --- a/__init__.py +++ b/__init__.py @@ -7,46 +7,47 @@ __version__ = "1.0.0" __author__ = "marcoags" __package_name__ = "AnotherUtils" -from .custom_crop import CustomCropNode -from .smart_resize import SmartResizeNode -from .nearest_upscale import NearestUpscaleNode -from .load_images import LoadImagesOriginalSize -from .pixel_normalizer import PixelArtNormalizerNode -from .fighting_game_character import FightingGameCharacter -from .walking_pose import WalkingPoseGenerator -from .load_remove_alpha import LoadImageRemoveAlpha -from .pixel_art_converter import PixelArtConverterNode -from .pixel_art_converter_parallel import PixelArtConverterNodeParallel -from .last_image import LastImage -from .character_constructor import CharacterConstructor -from .character_generator import CharacterRandomizer -from .remove_alpha import RemoveAlphaNode +from .image_processing.custom_crop import CustomCropNode +from .image_processing.smart_resize import SmartResizeNode +from .image_processing.nearest_upscale import NearestUpscaleNode +from .loaders.load_images import LoadImagesOriginalSize +from .pixel_art.pixel_normalizer import PixelArtNormalizerNode +from .characters.fighting_game_character import FightingGameCharacter +from .characters.walking_pose import WalkingPoseGenerator +from .loaders.load_remove_alpha import LoadImageRemoveAlpha +from .pixel_art.pixel_art_converter import PixelArtConverterNode +from .pixel_art.pixel_art_converter_parallel import PixelArtConverterNodeParallel +from .loaders.last_image import LastImage +from .characters.character_constructor import CharacterConstructor +from .characters.character_generator import CharacterRandomizer +from .image_processing.remove_alpha import RemoveAlphaNode from .gimp_nodes.adaptive_noise import AdaptiveNoise from .gimp_nodes.cie_lch_noise_gegl_like import CIELChNoiseGEGLLike from .gimp_nodes.image_type_detector import ImageTypeDetector from .gimp_nodes.mean_curvature_blur_gegl_like import MeanCurvatureBlurGEGLLike from .gimp_nodes.rgb_noise_gegl_like import RGBNoiseGEGLLike -from .csv_prompt_loader import CSVPromptLoader -from .comparison_swipe import ComparisonSwipeNode -from .folder_video_concatenator import FolderVideoConcatenator -from .interactive_crop import InteractiveCropNode -from .caption_image_loader import CaptionImageLoader -from .video_audio_combiner import ( +from .loaders.csv_prompt_loader import CSVPromptLoader +from .video.comparison_swipe import ComparisonSwipeNode +from .video.folder_video_concatenator import FolderVideoConcatenator +from .image_processing.interactive_crop import InteractiveCropNode +from .loaders.caption_image_loader import CaptionImageLoader +from .video.video_audio_combiner import ( VideoAudioCombiner, VideoAudioCombinerSimple, HAS_NEW_VIDEO_API, ) if HAS_NEW_VIDEO_API: - from .video_audio_combiner import VideoAudioCombinerV3 -from .audio_waveform_slicer import AudioWaveformSlicer -from .audio_slice_selector import AudioSliceSelector -from .audio_concatenate import AudioConcatenate -from .load_gif_frames import LoadGifFrames, RemapGifFrames -from .batch_image_list import BatchToImageList -from .video_auto_sync_hstack import VideoAutoSyncHStack -from .folder_image_loader import FolderImageLoader -from . import server_routes # Register Custom API Routes + from .video.video_audio_combiner import VideoAudioCombinerV3 +from .audio.audio_waveform_slicer import AudioWaveformSlicer +from .audio.audio_slice_selector import AudioSliceSelector +from .audio.audio_concatenate import AudioConcatenate +from .loaders.load_gif_frames import LoadGifFrames, RemapGifFrames +from .loaders.batch_image_list import BatchToImageList +from .video.video_auto_sync_hstack import VideoAutoSyncHStack +from .loaders.folder_image_loader import FolderImageLoader +from .logic_management.dataset_loader import DatasetLoader +from .core import server_routes # Register Custom API Routes NODE_CLASS_MAPPINGS = { "CustomCrop": CustomCropNode, @@ -83,6 +84,7 @@ NODE_CLASS_MAPPINGS = { "BatchToImageList": BatchToImageList, "VideoAutoSyncHStack": VideoAutoSyncHStack, "FolderImageLoader": FolderImageLoader, + "DatasetLoader": DatasetLoader, } # Add V3 nodes if the new API is available @@ -123,6 +125,7 @@ NODE_DISPLAY_NAME_MAPPINGS = { "BatchToImageList": "Batch to Image List", "VideoAutoSyncHStack": "Video Auto Sync HStack", "FolderImageLoader": "Folder Image Loader", + "DatasetLoader": "Dataset Loader (Images + Captions)", } # Add V3 display names if available diff --git a/audio_concatenate.py b/audio/audio_concatenate.py similarity index 100% rename from audio_concatenate.py rename to audio/audio_concatenate.py diff --git a/audio_slice_selector.py b/audio/audio_slice_selector.py similarity index 100% rename from audio_slice_selector.py rename to audio/audio_slice_selector.py diff --git a/audio_waveform_slicer.py b/audio/audio_waveform_slicer.py similarity index 100% rename from audio_waveform_slicer.py rename to audio/audio_waveform_slicer.py diff --git a/character_constructor.py b/characters/character_constructor.py similarity index 100% rename from character_constructor.py rename to characters/character_constructor.py diff --git a/character_generator.py b/characters/character_generator.py similarity index 100% rename from character_generator.py rename to characters/character_generator.py diff --git a/fighting_game_character.py b/characters/fighting_game_character.py similarity index 100% rename from fighting_game_character.py rename to characters/fighting_game_character.py diff --git a/walking_pose.py b/characters/walking_pose.py similarity index 100% rename from walking_pose.py rename to characters/walking_pose.py diff --git a/server_routes.py b/core/server_routes.py similarity index 100% rename from server_routes.py rename to core/server_routes.py diff --git a/custom_crop.py b/image_processing/custom_crop.py similarity index 100% rename from custom_crop.py rename to image_processing/custom_crop.py diff --git a/interactive_crop.py b/image_processing/interactive_crop.py similarity index 100% rename from interactive_crop.py rename to image_processing/interactive_crop.py diff --git a/nearest_upscale.py b/image_processing/nearest_upscale.py similarity index 97% rename from nearest_upscale.py rename to image_processing/nearest_upscale.py index ad69de1..acddabd 100644 --- a/nearest_upscale.py +++ b/image_processing/nearest_upscale.py @@ -1,71 +1,71 @@ -import torch -import numpy as np - -class NearestUpscaleNode: - @classmethod - def INPUT_TYPES(cls): - return { - "required": { - "image": ("IMAGE",), - "scale_factor": ("INT", { - "default": 2, - "min": 1, - "max": 8, - "step": 1 - }), - } - } - - RETURN_TYPES = ("IMAGE",) - FUNCTION = "upscale" - CATEGORY = "image/upscaling" - - def upscale(self, image, scale_factor): - # Debug inicial do tensor de entrada - print(f"Tipo de entrada: {type(image)}") - print(f"Shape do tensor de entrada: {image.shape}") - - # Converter tensor para numpy array - if isinstance(image, torch.Tensor): - image_np = image[0].cpu().numpy() - else: - image_np = np.array(image) - - # Debug após conversão para numpy - print(f"Shape do numpy array: {image_np.shape}") - height, width = image_np.shape[:2] - print(f"Altura: {height}, Largura: {width}") - print(f"Fator de escala: {scale_factor}") - - # Calcular novas dimensões - new_height = height * scale_factor - new_width = width * scale_factor - print(f"Nova altura calculada: {new_height}") - print(f"Nova largura calculada: {new_width}") - - # Criar array de saída com as dimensões exatas - upscaled = np.zeros((new_height, new_width, 3), dtype=np.float32) - print(f"Shape do array de saída: {upscaled.shape}") - - # Upscaling usando repeat nativo do numpy - # Primeiro expandimos na direção vertical - temp = np.repeat(image_np, scale_factor, axis=0) - # Depois na horizontal - upscaled = np.repeat(temp, scale_factor, axis=1) - - print(f"Shape final antes do tensor: {upscaled.shape}") - - # Converter para tensor mantendo as dimensões exatas - upscaled_tensor = torch.from_numpy(upscaled).unsqueeze(0) - print(f"Shape final do tensor: {upscaled_tensor.shape}") - - return (upscaled_tensor,) - -# Para registrar o nó -NODE_CLASS_MAPPINGS = { - "NearestUpscale": NearestUpscaleNode -} - -NODE_DISPLAY_NAME_MAPPINGS = { - "NearestUpscale": "Nearest Neighbor Upscale" +import torch +import numpy as np + +class NearestUpscaleNode: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "image": ("IMAGE",), + "scale_factor": ("INT", { + "default": 2, + "min": 1, + "max": 8, + "step": 1 + }), + } + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "upscale" + CATEGORY = "image/upscaling" + + def upscale(self, image, scale_factor): + # Debug inicial do tensor de entrada + print(f"Tipo de entrada: {type(image)}") + print(f"Shape do tensor de entrada: {image.shape}") + + # Converter tensor para numpy array + if isinstance(image, torch.Tensor): + image_np = image[0].cpu().numpy() + else: + image_np = np.array(image) + + # Debug após conversão para numpy + print(f"Shape do numpy array: {image_np.shape}") + height, width = image_np.shape[:2] + print(f"Altura: {height}, Largura: {width}") + print(f"Fator de escala: {scale_factor}") + + # Calcular novas dimensões + new_height = height * scale_factor + new_width = width * scale_factor + print(f"Nova altura calculada: {new_height}") + print(f"Nova largura calculada: {new_width}") + + # Criar array de saída com as dimensões exatas + upscaled = np.zeros((new_height, new_width, 3), dtype=np.float32) + print(f"Shape do array de saída: {upscaled.shape}") + + # Upscaling usando repeat nativo do numpy + # Primeiro expandimos na direção vertical + temp = np.repeat(image_np, scale_factor, axis=0) + # Depois na horizontal + upscaled = np.repeat(temp, scale_factor, axis=1) + + print(f"Shape final antes do tensor: {upscaled.shape}") + + # Converter para tensor mantendo as dimensões exatas + upscaled_tensor = torch.from_numpy(upscaled).unsqueeze(0) + print(f"Shape final do tensor: {upscaled_tensor.shape}") + + return (upscaled_tensor,) + +# Para registrar o nó +NODE_CLASS_MAPPINGS = { + "NearestUpscale": NearestUpscaleNode +} + +NODE_DISPLAY_NAME_MAPPINGS = { + "NearestUpscale": "Nearest Neighbor Upscale" } \ No newline at end of file diff --git a/remove_alpha.py b/image_processing/remove_alpha.py similarity index 100% rename from remove_alpha.py rename to image_processing/remove_alpha.py diff --git a/smart_resize.py b/image_processing/smart_resize.py similarity index 100% rename from smart_resize.py rename to image_processing/smart_resize.py diff --git a/batch_image_list.py b/loaders/batch_image_list.py similarity index 100% rename from batch_image_list.py rename to loaders/batch_image_list.py diff --git a/caption_image_loader.py b/loaders/caption_image_loader.py similarity index 100% rename from caption_image_loader.py rename to loaders/caption_image_loader.py diff --git a/csv_prompt_loader.py b/loaders/csv_prompt_loader.py similarity index 100% rename from csv_prompt_loader.py rename to loaders/csv_prompt_loader.py diff --git a/folder_image_loader.py b/loaders/folder_image_loader.py similarity index 100% rename from folder_image_loader.py rename to loaders/folder_image_loader.py diff --git a/last_image.py b/loaders/last_image.py similarity index 100% rename from last_image.py rename to loaders/last_image.py diff --git a/load_gif_frames.py b/loaders/load_gif_frames.py similarity index 100% rename from load_gif_frames.py rename to loaders/load_gif_frames.py diff --git a/load_images.py b/loaders/load_images.py similarity index 97% rename from load_images.py rename to loaders/load_images.py index 9dc74d6..b812c15 100644 --- a/load_images.py +++ b/loaders/load_images.py @@ -1,69 +1,69 @@ -import os -import hashlib -import numpy as np -import torch -from PIL import Image -import folder_paths - -class LoadImagesOriginalSize: - @classmethod - def INPUT_TYPES(cls): - return { - "required": { - "directory": ("STRING", {"default": "", "placeholder": "Path to directory of images"}), - }, - } - - RETURN_TYPES = ("IMAGE",) - OUTPUT_IS_LIST = (True,) - FUNCTION = "load_images" - CATEGORY = "image/loading" - - def load_images(self, directory: str): - if not os.path.isdir(directory): - raise FileNotFoundError(f"Directory '{directory}' cannot be found.") - - valid_extensions = ('.png', '.jpg', '.jpeg', '.bmp', '.webp') - image_files = [f for f in os.listdir(directory) - if f.lower().endswith(valid_extensions)] - - if len(image_files) == 0: - raise FileNotFoundError(f"No valid image files found in directory '{directory}'.") - - image_files.sort() - - images_list = [] - for filename in image_files: - filepath = os.path.join(directory, filename) - - img = Image.open(filepath) - if img.mode != 'RGB': - img = img.convert('RGB') - - img_np = np.array(img, dtype=np.float32) / 255.0 - img_tensor = torch.from_numpy(img_np).unsqueeze(0) - images_list.append(img_tensor) - - return (images_list,) - - @classmethod - def IS_CHANGED(cls, directory: str): - if not os.path.isdir(directory): - return False - - m = hashlib.sha256() - valid_extensions = ('.png', '.jpg', '.jpeg', '.bmp', '.webp') - for filename in sorted(os.listdir(directory)): - if filename.lower().endswith(valid_extensions): - filepath = os.path.join(directory, filename) - m.update(str(os.path.getmtime(filepath)).encode()) - return m.digest().hex() - - @classmethod - def VALIDATE_INPUTS(cls, directory: str): - if not directory.strip(): - return "Directory path cannot be empty" - - if not os.path.isdir(directory): - return f"Directory '{directory}' cannot be found." +import os +import hashlib +import numpy as np +import torch +from PIL import Image +import folder_paths + +class LoadImagesOriginalSize: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "directory": ("STRING", {"default": "", "placeholder": "Path to directory of images"}), + }, + } + + RETURN_TYPES = ("IMAGE",) + OUTPUT_IS_LIST = (True,) + FUNCTION = "load_images" + CATEGORY = "image/loading" + + def load_images(self, directory: str): + if not os.path.isdir(directory): + raise FileNotFoundError(f"Directory '{directory}' cannot be found.") + + valid_extensions = ('.png', '.jpg', '.jpeg', '.bmp', '.webp') + image_files = [f for f in os.listdir(directory) + if f.lower().endswith(valid_extensions)] + + if len(image_files) == 0: + raise FileNotFoundError(f"No valid image files found in directory '{directory}'.") + + image_files.sort() + + images_list = [] + for filename in image_files: + filepath = os.path.join(directory, filename) + + img = Image.open(filepath) + if img.mode != 'RGB': + img = img.convert('RGB') + + img_np = np.array(img, dtype=np.float32) / 255.0 + img_tensor = torch.from_numpy(img_np).unsqueeze(0) + images_list.append(img_tensor) + + return (images_list,) + + @classmethod + def IS_CHANGED(cls, directory: str): + if not os.path.isdir(directory): + return False + + m = hashlib.sha256() + valid_extensions = ('.png', '.jpg', '.jpeg', '.bmp', '.webp') + for filename in sorted(os.listdir(directory)): + if filename.lower().endswith(valid_extensions): + filepath = os.path.join(directory, filename) + m.update(str(os.path.getmtime(filepath)).encode()) + return m.digest().hex() + + @classmethod + def VALIDATE_INPUTS(cls, directory: str): + if not directory.strip(): + return "Directory path cannot be empty" + + if not os.path.isdir(directory): + return f"Directory '{directory}' cannot be found." return True \ No newline at end of file diff --git a/load_remove_alpha.py b/loaders/load_remove_alpha.py similarity index 100% rename from load_remove_alpha.py rename to loaders/load_remove_alpha.py diff --git a/log.txt b/log.txt new file mode 100644 index 0000000..5089c27 --- /dev/null +++ b/log.txt @@ -0,0 +1,671 @@ + +# ComfyUI Error Report +## Error Details +- **Node ID:** 3 +- **Node Type:** KSampler +- **Exception Type:** RuntimeError +- **Exception Message:** Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu! + +## Stack Trace +``` + File "F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\execution.py", line 530, in execute + output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + + File "F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\execution.py", line 334, in get_output_data + return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + + File "F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\execution.py", line 308, in _async_map_node_over_list + await process_inputs(input_dict, i) + + File "F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\execution.py", line 296, in process_inputs + result = f(**inputs) + ^^^^^^^^^^^ + + File "F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\nodes.py", line 1590, in sample + return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + + File "F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\nodes.py", line 1555, in common_ksampler + samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + + File "F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\comfy\sample.py", line 66, 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 "F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\comfy\samplers.py", line 1177, 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:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\comfy\samplers.py", line 1067, in sample + return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + + File "F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\comfy\samplers.py", line 1049, in sample + output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + + File "F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\comfy\patcher_extension.py", line 112, in execute + return self.original(*args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + + File "F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\comfy\samplers.py", line 993, in outer_sample + output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed, latent_shapes=latent_shapes) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + + File "F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\comfy\samplers.py", line 979, in inner_sample + samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + + File "F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\comfy\patcher_extension.py", line 112, in execute + return self.original(*args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + + File "F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\comfy\samplers.py", line 751, 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:\AppsCrucial\ComfyUI_phoenix3\python_embeded_cu130\Lib\site-packages\torch\utils\_contextlib.py", line 120, in decorate_context + return func(*args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^ + + File "F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\comfy\k_diffusion\sampling.py", line 233, in sample_euler + denoised = model(x, sigma_hat * s_in, **extra_args) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + + File "F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\comfy\samplers.py", line 400, in __call__ + out = self.inner_model(x, sigma, model_options=model_options, seed=seed) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + + File "F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\comfy\samplers.py", line 952, in __call__ + return self.outer_predict_noise(*args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + + File "F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\comfy\samplers.py", line 959, in outer_predict_noise + ).execute(x, timestep, model_options, seed) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + + File "F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\comfy\patcher_extension.py", line 112, in execute + return self.original(*args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + + File "F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\comfy\samplers.py", line 962, 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 "F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\comfy\samplers.py", line 380, in sampling_function + out = calc_cond_batch(model, conds, x, timestep, model_options) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + + File "F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\comfy\samplers.py", line 205, in calc_cond_batch + return _calc_cond_batch_outer(model, conds, x_in, timestep, model_options) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + + File "F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\comfy\samplers.py", line 213, in _calc_cond_batch_outer + return executor.execute(model, conds, x_in, timestep, model_options) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + + File "F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\comfy\patcher_extension.py", line 112, in execute + return self.original(*args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + + File "F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\comfy\samplers.py", line 325, in _calc_cond_batch + output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + + File "F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\comfy\model_base.py", line 167, in apply_model + return comfy.patcher_extension.WrapperExecutor.new_class_executor( + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + + File "F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\comfy\patcher_extension.py", line 112, in execute + return self.original(*args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + + File "F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\comfy\model_base.py", line 209, in _apply_model + model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + + File "F:\AppsCrucial\ComfyUI_phoenix3\python_embeded_cu130\Lib\site-packages\torch\nn\modules\module.py", line 1775, in _wrapped_call_impl + return self._call_impl(*args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + + File "F:\AppsCrucial\ComfyUI_phoenix3\python_embeded_cu130\Lib\site-packages\torch\nn\modules\module.py", line 1786, in _call_impl + return forward_call(*args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + + File "F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\custom_nodes\comfyui_ryanonyheinside\nodes\acestep\patches.py", line 207, in patched_forward + out = self.decoder( + ^^^^^^^^^^^^^ + + File "F:\AppsCrucial\ComfyUI_phoenix3\python_embeded_cu130\Lib\site-packages\torch\nn\modules\module.py", line 1775, in _wrapped_call_impl + return self._call_impl(*args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + + File "F:\AppsCrucial\ComfyUI_phoenix3\python_embeded_cu130\Lib\site-packages\torch\nn\modules\module.py", line 1786, in _call_impl + return forward_call(*args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + + File "F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\comfy\ldm\ace\ace_step15.py", line 678, in forward + temb_t, proj_t = self.time_embed(timestep, dtype=hidden_states.dtype) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + + File "F:\AppsCrucial\ComfyUI_phoenix3\python_embeded_cu130\Lib\site-packages\torch\nn\modules\module.py", line 1775, in _wrapped_call_impl + return self._call_impl(*args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + + File "F:\AppsCrucial\ComfyUI_phoenix3\python_embeded_cu130\Lib\site-packages\torch\nn\modules\module.py", line 1786, in _call_impl + return forward_call(*args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + + File "F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\comfy\ldm\ace\ace_step15.py", line 141, in forward + temb = self.linear_1(t_freq.to(dtype=dtype)) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + + File "F:\AppsCrucial\ComfyUI_phoenix3\python_embeded_cu130\Lib\site-packages\torch\nn\modules\module.py", line 1775, in _wrapped_call_impl + return self._call_impl(*args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + + File "F:\AppsCrucial\ComfyUI_phoenix3\python_embeded_cu130\Lib\site-packages\torch\nn\modules\module.py", line 1786, in _call_impl + return forward_call(*args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + + File "F:\AppsCrucial\ComfyUI_phoenix3\python_embeded_cu130\Lib\site-packages\lycoris\modules\lokr.py", line 562, in forward + new_weight = base_weight + diff_weight * self.multiplier + ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +``` +## System Information +- **ComfyUI Version:** 0.13.0 +- **Arguments:** ComfyUI\main.py --reserve-vram 4 --preview-method taesd --preview-size 2048 --listen +- **OS:** win32 +- **Python Version:** 3.12.10 (tags/v3.12.10:0cc8128, Apr 8 2025, 12:21:36) [MSC v.1943 64 bit (AMD64)] +- **Embedded Python:** false +- **PyTorch Version:** 2.9.1+cu130 +## Devices + +- **Name:** cuda:0 NVIDIA GeForce RTX 4090 : cudaMallocAsync + - **Type:** cuda + - **VRAM Total:** 25756696576 + - **VRAM Free:** 13862011336 + - **Torch VRAM Total:** 10166992896 + - **Torch VRAM Free:** 33391048 + +## Logs +``` +2026-02-10T18:30:15.840120 - +2026-02-10T18:30:15.849146 - (RES4LYF) Importing legacy samplers.2026-02-10T18:30:15.849146 - +2026-02-10T18:30:15.862711 - +2026-02-10T18:30:15.863211 - [rgthree-comfy] Loaded 48 epic nodes. 🎉2026-02-10T18:30:15.863211 - +2026-02-10T18:30:15.863211 - +2026-02-10T18:30:15.863211 - [rgthree-comfy] ComfyUI's new Node 2.0 rendering may be incompatible with some rgthree-comfy nodes and features, breaking some rendering as well as losing the ability to access a node's properties (a vital part of many nodes). It also appears to run MUCH more slowly spiking CPU usage and causing jankiness and unresponsiveness, especially with large workflows. Personally I am not planning to use the new Nodes 2.0 and, unfortunately, am not able to invest the time to investigate and overhaul rgthree-comfy where needed. If you have issues when Nodes 2.0 is enabled, I'd urge you to switch it off as well and join me in hoping ComfyUI is not planning to deprecate the existing, stable canvas rendering all together. +2026-02-10T18:30:15.863211 - +2026-02-10T18:30:16.221794 - WAS Node Suite: OpenCV Python FFMPEG support is enabled2026-02-10T18:30:16.222295 - +2026-02-10T18:30:16.222295 - WAS Node Suite Warning: `ffmpeg_bin_path` is not set in `F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\custom_nodes\was-ns\was_suite_config.json` config file. Will attempt to use system ffmpeg binaries if available.2026-02-10T18:30:16.222295 - +2026-02-10T18:30:16.560058 - WAS Node Suite: Finished. Loaded 220 nodes successfully.2026-02-10T18:30:16.560558 - +2026-02-10T18:30:16.560558 - + "Art is the most intense mode of individualism that the world has known." - Oscar Wilde +2026-02-10T18:30:16.560558 - +2026-02-10T18:30:16.562563 - +Import times for custom nodes: +2026-02-10T18:30:16.563063 - 0.0 seconds: F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\custom_nodes\ComfyUI-ProfilerX +2026-02-10T18:30:16.563063 - 0.0 seconds: F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\custom_nodes\websocket_image_save.py +2026-02-10T18:30:16.563063 - 0.0 seconds: F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\custom_nodes\ComfyLiterals +2026-02-10T18:30:16.563063 - 0.0 seconds: F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\custom_nodes\comfyui-inpaint-cropandstitch +2026-02-10T18:30:16.563063 - 0.0 seconds: F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\custom_nodes\comfyui_ipadapter_plus +2026-02-10T18:30:16.563063 - 0.0 seconds: F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\custom_nodes\comfyui_essentials +2026-02-10T18:30:16.563063 - 0.0 seconds: F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\custom_nodes\comfyui-custom-scripts +2026-02-10T18:30:16.563063 - 0.0 seconds: F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\custom_nodes\comfyui-lycoris +2026-02-10T18:30:16.563563 - 0.0 seconds: F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\custom_nodes\comfyui_yvann-nodes +2026-02-10T18:30:16.563563 - 0.0 seconds: F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\custom_nodes\comfyui-sam3 +2026-02-10T18:30:16.563563 - 0.0 seconds: F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\custom_nodes\ComfyUI-KJNodes +2026-02-10T18:30:16.563563 - 0.0 seconds: F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\custom_nodes\rgthree-comfy +2026-02-10T18:30:16.563563 - 0.0 seconds: F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\custom_nodes\comfyui-advanced-controlnet +2026-02-10T18:30:16.563563 - 0.0 seconds: F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\custom_nodes\gguf +2026-02-10T18:30:16.563563 - 0.0 seconds: F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\custom_nodes\ComfyUI-GGUF +2026-02-10T18:30:16.563563 - 0.0 seconds: F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\custom_nodes\comfyui_controlnet_aux +2026-02-10T18:30:16.563563 - 0.0 seconds: F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\custom_nodes\comfyui-animatediff-evolved +2026-02-10T18:30:16.563563 - 0.0 seconds: F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\custom_nodes\ComfyUI-JoyCaption +2026-02-10T18:30:16.563563 - 0.0 seconds: F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\custom_nodes\ComfyUI-LTXVideo +2026-02-10T18:30:16.563563 - 0.1 seconds: F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\custom_nodes\comfyui-videohelpersuite +2026-02-10T18:30:16.563563 - 0.1 seconds: F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\custom_nodes\comfyui_ryanonyheinside +2026-02-10T18:30:16.563563 - 0.2 seconds: F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\custom_nodes\RES4LYF +2026-02-10T18:30:16.563563 - 0.3 seconds: F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\custom_nodes\comfyui-art-venture +2026-02-10T18:30:16.563563 - 0.4 seconds: F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\custom_nodes\ComfyUI-Manager +2026-02-10T18:30:16.563563 - 0.5 seconds: F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\custom_nodes\ComfyUI-MelBandRoFormer +2026-02-10T18:30:16.563563 - 0.7 seconds: F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\custom_nodes\was-ns +2026-02-10T18:30:16.563563 - 0.9 seconds: F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\custom_nodes\ComfyUI-SeedVR2_VideoUpscaler +2026-02-10T18:30:16.563563 - 1.4 seconds: F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\custom_nodes\ComfyUI-AnotherUtils +2026-02-10T18:30:16.563563 - 2.1 seconds: F:\AppsCrucial\ComfyUI_phoenix3\ComfyUI\custom_nodes\comfyui_fill-nodes +2026-02-10T18:30:16.564565 - +2026-02-10T18:30:16.568073 - Context impl SQLiteImpl. +2026-02-10T18:30:16.568073 - Will assume non-transactional DDL. +2026-02-10T18:30:16.664912 - Assets scan(roots=['models']) completed in 0.095s (created=0, skipped_existing=1101, orphans_pruned=0, total_seen=1103) +2026-02-10T18:30:16.703742 - Starting server + +2026-02-10T18:30:16.704744 - To see the GUI go to: http://0.0.0.0:8188 +2026-02-10T18:30:16.705248 - To see the GUI go to: http://[::]:8188 +2026-02-10T18:30:19.733568 - FETCH ComfyRegistry Data: 10/1252026-02-10T18:30:19.733568 - +2026-02-10T18:30:23.537154 - FETCH ComfyRegistry Data: 15/1252026-02-10T18:30:23.537154 - +2026-02-10T18:30:26.048764 - got prompt +2026-02-10T18:30:26.053355 - 2026-02-10 18:30:26,053 - ComfyUI-ProfilerX - INFO - [ProfilerX] Starting workflow profiling: 6bfed3c2-d760-4e53-a8ab-85c1303b97a0 +2026-02-10T18:30:26.053355 - [ProfilerX] Starting workflow profiling: 6bfed3c2-d760-4e53-a8ab-85c1303b97a0 +2026-02-10T18:30:26.060372 - Average reset_peak_memory_stats time: 6696.70 nanoseconds +2026-02-10T18:30:26.253999 - model weight dtype torch.bfloat16, manual cast: None +2026-02-10T18:30:26.256506 - model_type FLOW +2026-02-10T18:30:26.973643 - VAE load device: cuda:0, offload device: cpu, dtype: torch.float16 +2026-02-10T18:30:27.146067 - FETCH ComfyRegistry Data: 20/1252026-02-10T18:30:27.147572 - +2026-02-10T18:30:28.950588 - Requested to load ACE15TEModel_ +2026-02-10T18:30:29.000061 - loaded completely; 4673.04 MB loaded, full load: True +2026-02-10T18:30:29.004066 - CLIP/text encoder model load device: cuda:0, offload device: cpu, current: cuda:0, dtype: torch.float16 +2026-02-10T18:30:30.170691 - [TOKENIZER_DEBUG] qwen3_06b prompt (first 200 chars): '# Instruction\nFill the audio semantic mask based on the given conditions:\n\n# Caption\nnirvana_nevermind \n\n# Metas\n- bpm: 115\n- timesignature: 4\n- keyscale: F minor\n- duration: 60\n<|endoftext|>\n'2026-02-10T18:30:30.170691 - +2026-02-10T18:30:30.911340 - +LM sampling: 2%|█▏ | 5/300 [00:00<00:26, 10.97it/s]2026-02-10T18:30:30.963164 - FETCH ComfyRegistry Data: 25/1252026-02-10T18:30:30.963164 - +2026-02-10T18:30:34.629513 - +LM sampling: 54%|████████████████████████████████████▍ | 163/300 [00:04<00:03, 42.69it/s]2026-02-10T18:30:34.644077 - FETCH ComfyRegistry Data: 30/1252026-02-10T18:30:34.644077 - +2026-02-10T18:30:37.769577 - +LM sampling: 99%|██████████████████████████████████████████████████████████████████▌| 298/300 [00:07<00:00, 42.05it/s]2026-02-10T18:30:37.819223 - +LM sampling: 100%|███████████████████████████████████████████████████████████████████| 300/300 [00:07<00:00, 40.43it/s]2026-02-10T18:30:37.819223 - +2026-02-10T18:30:37.822231 - Loading ACE-Step LoKr from: F:\AppsCrucial\ComfyUI_phoenix2\ComfyUI\models\loras\ace-step\nirvana_weights.safetensors2026-02-10T18:30:37.822231 - +2026-02-10T18:30:37.826204 - Targeting 'decoder' submodule of the diffusion model.2026-02-10T18:30:37.826204 - +2026-02-10T18:30:37.838952 - 2026-02-10 18:30:37|[LyCORIS]-INFO: Using rank adaptation algo: lokr +2026-02-10T18:30:37.839955 - 2026-02-10 18:30:37|[LyCORIS]-INFO: Use Dropout value: 0.0 +2026-02-10T18:30:37.839955 - 2026-02-10 18:30:37|[LyCORIS]-INFO: Create LyCORIS Module +2026-02-10T18:30:37.840957 - 2026-02-10 18:30:37|[LyCORIS]-WARNING: lora_dim 64 is too large for dim=2048 and factor=-1, using full matrix mode. +2026-02-10T18:30:37.841457 - 2026-02-10 18:30:37|[LyCORIS]-WARNING: lora_dim 64 is too large for dim=12288 and factor=-1, using full matrix mode. +2026-02-10T18:30:37.846017 - 2026-02-10 18:30:37|[LyCORIS]-WARNING: lora_dim 64 is too large for dim=6144 and factor=-1, using full matrix mode. +2026-02-10T18:30:37.895917 - 2026-02-10 18:30:37|[LyCORIS]-INFO: create LyCORIS: 272 modules. +2026-02-10T18:30:37.895917 - 2026-02-10 18:30:37|[LyCORIS]-INFO: module type table: {'LokrModule': 272} +2026-02-10T18:30:37.896920 - Target model device: cpu, dtype: torch.bfloat162026-02-10T18:30:37.896920 - +2026-02-10T18:30:37.899487 - Warning: Unexpected keys in LoKr: ['lycoris_condition_embedder.alpha', 'lycoris_condition_embedder.dora_scale', 'lycoris_condition_embedder.lokr_w1', 'lycoris_condition_embedder.lokr_w2', 'lycoris_layers_0_cross_attn_k_proj.alpha', 'lycoris_layers_0_cross_attn_k_proj.dora_scale', 'lycoris_layers_0_cross_attn_k_proj.lokr_w1', 'lycoris_layers_0_cross_attn_k_proj.lokr_w2', 'lycoris_layers_0_cross_attn_o_proj.alpha', 'lycoris_layers_0_cross_attn_o_proj.dora_scale', 'lycoris_layers_0_cross_attn_o_proj.lokr_w1', 'lycoris_layers_0_cross_attn_o_proj.lokr_w2', 'lycoris_layers_0_cross_attn_q_proj.alpha', 'lycoris_layers_0_cross_attn_q_proj.dora_scale', 'lycoris_layers_0_cross_attn_q_proj.lokr_w1', 'lycoris_layers_0_cross_attn_q_proj.lokr_w2', 'lycoris_layers_0_cross_attn_v_proj.alpha', 'lycoris_layers_0_cross_attn_v_proj.dora_scale', 'lycoris_layers_0_cross_attn_v_proj.lokr_w1', 'lycoris_layers_0_cross_attn_v_proj.lokr_w2', 'lycoris_layers_0_mlp_down_proj.alpha', 'lycoris_layers_0_mlp_down_proj.dora_scale', 'lycoris_layers_0_mlp_down_proj.lokr_w1', 'lycoris_layers_0_mlp_down_proj.lokr_w2', 'lycoris_layers_0_mlp_gate_proj.alpha', 'lycoris_layers_0_mlp_gate_proj.dora_scale', 'lycoris_layers_0_mlp_gate_proj.lokr_w1', 'lycoris_layers_0_mlp_gate_proj.lokr_w2', 'lycoris_layers_0_mlp_up_proj.alpha', 'lycoris_layers_0_mlp_up_proj.dora_scale', 'lycoris_layers_0_mlp_up_proj.lokr_w1', 'lycoris_layers_0_mlp_up_proj.lokr_w2', 'lycoris_layers_0_self_attn_k_proj.alpha', 'lycoris_layers_0_self_attn_k_proj.dora_scale', 'lycoris_layers_0_self_attn_k_proj.lokr_w1', 'lycoris_layers_0_self_attn_k_proj.lokr_w2', 'lycoris_layers_0_self_attn_o_proj.alpha', 'lycoris_layers_0_self_attn_o_proj.dora_scale', 'lycoris_layers_0_self_attn_o_proj.lokr_w1', 'lycoris_layers_0_self_attn_o_proj.lokr_w2', 'lycoris_layers_0_self_attn_q_proj.alpha', 'lycoris_layers_0_self_attn_q_proj.dora_scale', 'lycoris_layers_0_self_attn_q_proj.lokr_w1', 'lycoris_layers_0_self_attn_q_proj.lokr_w2', 'lycoris_layers_0_self_attn_v_proj.alpha', 'lycoris_layers_0_self_attn_v_proj.dora_scale', 'lycoris_layers_0_self_attn_v_proj.lokr_w1', 'lycoris_layers_0_self_attn_v_proj.lokr_w2', 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'lycoris_layers_8_mlp_up_proj.lokr_w2', 'lycoris_layers_8_self_attn_k_proj.alpha', 'lycoris_layers_8_self_attn_k_proj.dora_scale', 'lycoris_layers_8_self_attn_k_proj.lokr_w1', 'lycoris_layers_8_self_attn_k_proj.lokr_w2', 'lycoris_layers_8_self_attn_o_proj.alpha', 'lycoris_layers_8_self_attn_o_proj.dora_scale', 'lycoris_layers_8_self_attn_o_proj.lokr_w1', 'lycoris_layers_8_self_attn_o_proj.lokr_w2', 'lycoris_layers_8_self_attn_q_proj.alpha', 'lycoris_layers_8_self_attn_q_proj.dora_scale', 'lycoris_layers_8_self_attn_q_proj.lokr_w1', 'lycoris_layers_8_self_attn_q_proj.lokr_w2', 'lycoris_layers_8_self_attn_v_proj.alpha', 'lycoris_layers_8_self_attn_v_proj.dora_scale', 'lycoris_layers_8_self_attn_v_proj.lokr_w1', 'lycoris_layers_8_self_attn_v_proj.lokr_w2', 'lycoris_layers_9_cross_attn_k_proj.alpha', 'lycoris_layers_9_cross_attn_k_proj.dora_scale', 'lycoris_layers_9_cross_attn_k_proj.lokr_w1', 'lycoris_layers_9_cross_attn_k_proj.lokr_w2', 'lycoris_layers_9_cross_attn_o_proj.alpha', 'lycoris_layers_9_cross_attn_o_proj.dora_scale', 'lycoris_layers_9_cross_attn_o_proj.lokr_w1', 'lycoris_layers_9_cross_attn_o_proj.lokr_w2', 'lycoris_layers_9_cross_attn_q_proj.alpha', 'lycoris_layers_9_cross_attn_q_proj.dora_scale', 'lycoris_layers_9_cross_attn_q_proj.lokr_w1', 'lycoris_layers_9_cross_attn_q_proj.lokr_w2', 'lycoris_layers_9_cross_attn_v_proj.alpha', 'lycoris_layers_9_cross_attn_v_proj.dora_scale', 'lycoris_layers_9_cross_attn_v_proj.lokr_w1', 'lycoris_layers_9_cross_attn_v_proj.lokr_w2', 'lycoris_layers_9_mlp_down_proj.alpha', 'lycoris_layers_9_mlp_down_proj.dora_scale', 'lycoris_layers_9_mlp_down_proj.lokr_w1', 'lycoris_layers_9_mlp_down_proj.lokr_w2', 'lycoris_layers_9_mlp_gate_proj.alpha', 'lycoris_layers_9_mlp_gate_proj.dora_scale', 'lycoris_layers_9_mlp_gate_proj.lokr_w1', 'lycoris_layers_9_mlp_gate_proj.lokr_w2', 'lycoris_layers_9_mlp_up_proj.alpha', 'lycoris_layers_9_mlp_up_proj.dora_scale', 'lycoris_layers_9_mlp_up_proj.lokr_w1', 'lycoris_layers_9_mlp_up_proj.lokr_w2', 'lycoris_layers_9_self_attn_k_proj.alpha', 'lycoris_layers_9_self_attn_k_proj.dora_scale', 'lycoris_layers_9_self_attn_k_proj.lokr_w1', 'lycoris_layers_9_self_attn_k_proj.lokr_w2', 'lycoris_layers_9_self_attn_o_proj.alpha', 'lycoris_layers_9_self_attn_o_proj.dora_scale', 'lycoris_layers_9_self_attn_o_proj.lokr_w1', 'lycoris_layers_9_self_attn_o_proj.lokr_w2', 'lycoris_layers_9_self_attn_q_proj.alpha', 'lycoris_layers_9_self_attn_q_proj.dora_scale', 'lycoris_layers_9_self_attn_q_proj.lokr_w1', 'lycoris_layers_9_self_attn_q_proj.lokr_w2', 'lycoris_layers_9_self_attn_v_proj.alpha', 'lycoris_layers_9_self_attn_v_proj.dora_scale', 'lycoris_layers_9_self_attn_v_proj.lokr_w1', 'lycoris_layers_9_self_attn_v_proj.lokr_w2', 'lycoris_proj_in_1.alpha', 'lycoris_proj_in_1.dora_scale', 'lycoris_proj_in_1.lokr_w1', 'lycoris_proj_in_1.lokr_w2', 'lycoris_time_embed_linear_1.alpha', 'lycoris_time_embed_linear_1.dora_scale', 'lycoris_time_embed_linear_1.lokr_w1', 'lycoris_time_embed_linear_1.lokr_w2', 'lycoris_time_embed_linear_2.alpha', 'lycoris_time_embed_linear_2.dora_scale', 'lycoris_time_embed_linear_2.lokr_w1', 'lycoris_time_embed_linear_2.lokr_w2', 'lycoris_time_embed_r_linear_1.alpha', 'lycoris_time_embed_r_linear_1.dora_scale', 'lycoris_time_embed_r_linear_1.lokr_w1', 'lycoris_time_embed_r_linear_1.lokr_w2', 'lycoris_time_embed_r_linear_2.alpha', 'lycoris_time_embed_r_linear_2.dora_scale', 'lycoris_time_embed_r_linear_2.lokr_w1', 'lycoris_time_embed_r_linear_2.lokr_w2', 'lycoris_time_embed_r_time_proj.alpha', 'lycoris_time_embed_r_time_proj.dora_scale', 'lycoris_time_embed_r_time_proj.lokr_w1', 'lycoris_time_embed_r_time_proj.lokr_w2', 'lycoris_time_embed_time_proj.alpha', 'lycoris_time_embed_time_proj.dora_scale', 'lycoris_time_embed_time_proj.lokr_w1', 'lycoris_time_embed_time_proj.lokr_w2']2026-02-10T18:30:37.899990 - +2026-02-10T18:30:37.902999 - ACE-Step LoKr applied successfully.2026-02-10T18:30:37.902999 - +2026-02-10T18:30:37.909020 - Warning: TAESD previews enabled, but could not find models/vae_approx/None +2026-02-10T18:30:37.910019 - Requested to load ACEStep15 +2026-02-10T18:30:38.802514 - loaded completely; 13289.51 MB usable, 4565.35 MB loaded, full load: True +2026-02-10T18:30:38.824178 - FETCH ComfyRegistry Data: 35/1252026-02-10T18:30:38.824678 - +2026-02-10T18:30:40.613586 - + 93%|████████████████████████████████████████████████████████████████████████████▏ | 13/14 [00:01<00:00, 7.78it/s]2026-02-10T18:30:40.712809 - +100%|██████████████████████████████████████████████████████████████████████████████████| 14/14 [00:01<00:00, 7.52it/s]2026-02-10T18:30:40.713308 - +2026-02-10T18:30:40.715318 - Requested to load AudioOobleckVAE +2026-02-10T18:30:40.826578 - loaded completely; 321.70 MB loaded, full load: True +2026-02-10T18:30:42.695256 - FETCH ComfyRegistry Data: 40/1252026-02-10T18:30:42.695756 - +2026-02-10T18:30:43.235770 - +======================================================================2026-02-10T18:30:43.235770 - +2026-02-10T18:30:43.235770 - COMFYUI PROFILER X - EXECUTION SUMMARY2026-02-10T18:30:43.235770 - +2026-02-10T18:30:43.235770 - ======================================================================2026-02-10T18:30:43.235770 - +2026-02-10T18:30:43.235770 - ⚠️ WARNING: Disk D: has only 11.1GB free2026-02-10T18:30:43.235770 - +2026-02-10T18:30:43.235770 - ⚠️ WARNING: Disk F: has only 10.5GB free2026-02-10T18:30:43.235770 - +2026-02-10T18:30:43.235770 - Prompt ID: 6bfed3c2-d760-4e53-a8ab-85c1303b97a02026-02-10T18:30:43.235770 - +2026-02-10T18:30:43.235770 - Total Time: 16.74s2026-02-10T18:30:43.235770 - +2026-02-10T18:30:43.235770 - VRAM Peak: 9.44 GB2026-02-10T18:30:43.236727 - +2026-02-10T18:30:43.236727 - RAM Peak: 2.47 GB2026-02-10T18:30:43.236727 - +2026-02-10T18:30:43.236727 - Cache Hits: 02026-02-10T18:30:43.236727 - +2026-02-10T18:30:43.236727 - Cache Misses: 142026-02-10T18:30:43.236727 - +2026-02-10T18:30:43.236727 - ----------------------------------------------------------------------2026-02-10T18:30:43.236727 - +2026-02-10T18:30:43.236727 - TOP NODES BY TIME:2026-02-10T18:30:43.236727 - +2026-02-10T18:30:43.236727 - 1. TextEncodeAceStepAudio1.5 7.65s VRAM: +0.01GB (peak: 0.10GB)2026-02-10T18:30:43.236727 - +2026-02-10T18:30:43.236727 - 2. CheckpointLoaderSimple 4.03s VRAM: +4.56GB (peak: 4.56GB)2026-02-10T18:30:43.236727 - +2026-02-10T18:30:43.236727 - 3. KSampler 2.81s VRAM: +4.54GB (peak: 4.69GB)2026-02-10T18:30:43.236727 - +2026-02-10T18:30:43.237230 - 4. SaveAudioMP3 1.67s VRAM: 0.00GB (peak: 0.00GB)2026-02-10T18:30:43.237230 - +2026-02-10T18:30:43.237230 - 5. VAEDecodeAudio 0.48s VRAM: +0.31GB (peak: 4.09GB)2026-02-10T18:30:43.237230 - +2026-02-10T18:30:43.237230 - 6. AceStepLoKrLoader 0.08s VRAM: 0.00GB (peak: 0.00GB)2026-02-10T18:30:43.237230 - +2026-02-10T18:30:43.237230 - 7. EmptyAceStep1.5LatentAudio 0.01s VRAM: 0.00GB (peak: 0.00GB)2026-02-10T18:30:43.237230 - +2026-02-10T18:30:43.237230 - 8. ModelSamplingAuraFlow 0.00s VRAM: 0.00GB (peak: 0.00GB)2026-02-10T18:30:43.237230 - +2026-02-10T18:30:43.237230 - 9. Display Any (rgthree) 0.00s VRAM: 0.00GB (peak: 0.00GB)2026-02-10T18:30:43.237230 - +2026-02-10T18:30:43.237230 - 10. ConditioningZeroOut 0.00s VRAM: 0.00GB (peak: 0.00GB)2026-02-10T18:30:43.237230 - +2026-02-10T18:30:43.237230 - ====================================================================== +2026-02-10T18:30:43.237230 - +2026-02-10T18:30:43.237730 - Prompt executed in 17.19 seconds +2026-02-10T18:30:46.942511 - FETCH ComfyRegistry Data: 45/1252026-02-10T18:30:46.943014 - +2026-02-10T18:30:50.543192 - FETCH ComfyRegistry Data: 50/1252026-02-10T18:30:50.543693 - +2026-02-10T18:30:52.090531 - got prompt +2026-02-10T18:30:52.103088 - Warning: TAESD previews enabled, but could not find models/vae_approx/None +2026-02-10T18:30:52.104090 - Requested to load ACEStep15 +2026-02-10T18:30:53.989777 - +100%|██████████████████████████████████████████████████████████████████████████████████| 14/14 [00:01<00:00, 8.53it/s]2026-02-10T18:30:53.990280 - +100%|██████████████████████████████████████████████████████████████████████████████████| 14/14 [00:01<00:00, 7.44it/s]2026-02-10T18:30:53.990280 - +2026-02-10T18:30:54.075395 - FETCH ComfyRegistry Data: 55/1252026-02-10T18:30:54.075395 - +2026-02-10T18:30:56.428369 - +======================================================================2026-02-10T18:30:56.428369 - +2026-02-10T18:30:56.428369 - COMFYUI PROFILER X - EXECUTION SUMMARY2026-02-10T18:30:56.428369 - +2026-02-10T18:30:56.428369 - ======================================================================2026-02-10T18:30:56.428369 - +2026-02-10T18:30:56.428369 - ⚠️ WARNING: Disk D: has only 11.1GB free2026-02-10T18:30:56.428369 - +2026-02-10T18:30:56.429373 - ⚠️ WARNING: Disk F: has only 10.5GB free2026-02-10T18:30:56.429373 - +2026-02-10T18:30:56.429373 - Prompt ID: 7fffb1d1-a7eb-498f-81b2-ec37a6f1eebc2026-02-10T18:30:56.429373 - +2026-02-10T18:30:56.429373 - Total Time: 3.92s2026-02-10T18:30:56.429373 - +2026-02-10T18:30:56.429373 - VRAM Peak: 9.44 GB2026-02-10T18:30:56.429877 - +2026-02-10T18:30:56.429877 - RAM Peak: 2.48 GB2026-02-10T18:30:56.429877 - +2026-02-10T18:30:56.429877 - Cache Hits: 42026-02-10T18:30:56.429877 - +2026-02-10T18:30:56.429877 - Cache Misses: 42026-02-10T18:30:56.429877 - +2026-02-10T18:30:56.429877 - ----------------------------------------------------------------------2026-02-10T18:30:56.429877 - +2026-02-10T18:30:56.429877 - TOP NODES BY TIME:2026-02-10T18:30:56.429877 - +2026-02-10T18:30:56.429877 - 1. KSampler 1.89s VRAM: -0.00GB (peak: 0.15GB)2026-02-10T18:30:56.429877 - +2026-02-10T18:30:56.429877 - 2. SaveAudioMP3 1.76s VRAM: 0.00GB (peak: 0.00GB)2026-02-10T18:30:56.429877 - +2026-02-10T18:30:56.429877 - 3. VAEDecodeAudio 0.26s VRAM: 0.00GB (peak: 3.78GB)2026-02-10T18:30:56.429877 - +2026-02-10T18:30:56.429877 - 4. ModelSamplingAuraFlow 0.00s VRAM: 0.00GB (peak: 0.00GB)2026-02-10T18:30:56.430880 - +2026-02-10T18:30:56.430880 - 5. Display Any (rgthree) 0.00s VRAM: 0.00GB (peak: 0.00GB) [CACHED]2026-02-10T18:30:56.430880 - +2026-02-10T18:30:56.430880 - 6. Display Any (rgthree) 0.00s VRAM: 0.00GB (peak: 0.00GB) [CACHED]2026-02-10T18:30:56.430880 - +2026-02-10T18:30:56.430880 - 7. Display Any (rgthree) 0.00s VRAM: 0.00GB (peak: 0.00GB) [CACHED]2026-02-10T18:30:56.430880 - +2026-02-10T18:30:56.430880 - 8. Display Any (rgthree) 0.00s VRAM: 0.00GB (peak: 0.00GB) [CACHED]2026-02-10T18:30:56.430880 - +2026-02-10T18:30:56.430880 - ====================================================================== +2026-02-10T18:30:56.430880 - +2026-02-10T18:30:56.431939 - Prompt executed in 4.34 seconds +2026-02-10T18:30:57.932847 - FETCH ComfyRegistry Data: 60/1252026-02-10T18:30:57.932847 - +2026-02-10T18:31:02.493417 - FETCH ComfyRegistry Data: 65/1252026-02-10T18:31:02.493417 - +2026-02-10T18:31:02.603493 - got prompt +2026-02-10T18:31:02.613555 - Loading ACE-Step LoKr from: F:\AppsCrucial\ComfyUI_phoenix2\ComfyUI\models\loras\ace-step\nirvana_weights.safetensors2026-02-10T18:31:02.613555 - +2026-02-10T18:31:02.613555 - Targeting 'decoder' submodule of the diffusion model.2026-02-10T18:31:02.613555 - +2026-02-10T18:31:02.624656 - 2026-02-10 18:31:02|[LyCORIS]-INFO: Using rank adaptation algo: lokr +2026-02-10T18:31:02.624656 - 2026-02-10 18:31:02|[LyCORIS]-INFO: Use Dropout value: 0.0 +2026-02-10T18:31:02.624656 - 2026-02-10 18:31:02|[LyCORIS]-INFO: Create LyCORIS Module +2026-02-10T18:31:02.674741 - 2026-02-10 18:31:02|[LyCORIS]-INFO: create LyCORIS: 272 modules. +2026-02-10T18:31:02.675240 - 2026-02-10 18:31:02|[LyCORIS]-INFO: module type table: {'LokrModule': 272} +2026-02-10T18:31:02.675240 - Target model device: cuda:0, dtype: torch.bfloat162026-02-10T18:31:02.675240 - +2026-02-10T18:31:02.699571 - Warning: Unexpected keys in LoKr: ['lycoris_condition_embedder.alpha', 'lycoris_condition_embedder.dora_scale', 'lycoris_condition_embedder.lokr_w1', 'lycoris_condition_embedder.lokr_w2', 'lycoris_layers_0_cross_attn_k_proj.alpha', 'lycoris_layers_0_cross_attn_k_proj.dora_scale', 'lycoris_layers_0_cross_attn_k_proj.lokr_w1', 'lycoris_layers_0_cross_attn_k_proj.lokr_w2', 'lycoris_layers_0_cross_attn_o_proj.alpha', 'lycoris_layers_0_cross_attn_o_proj.dora_scale', 'lycoris_layers_0_cross_attn_o_proj.lokr_w1', 'lycoris_layers_0_cross_attn_o_proj.lokr_w2', 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'lycoris_layers_0_self_attn_k_proj.lokr_w1', 'lycoris_layers_0_self_attn_k_proj.lokr_w2', 'lycoris_layers_0_self_attn_o_proj.alpha', 'lycoris_layers_0_self_attn_o_proj.dora_scale', 'lycoris_layers_0_self_attn_o_proj.lokr_w1', 'lycoris_layers_0_self_attn_o_proj.lokr_w2', 'lycoris_layers_0_self_attn_q_proj.alpha', 'lycoris_layers_0_self_attn_q_proj.dora_scale', 'lycoris_layers_0_self_attn_q_proj.lokr_w1', 'lycoris_layers_0_self_attn_q_proj.lokr_w2', 'lycoris_layers_0_self_attn_v_proj.alpha', 'lycoris_layers_0_self_attn_v_proj.dora_scale', 'lycoris_layers_0_self_attn_v_proj.lokr_w1', 'lycoris_layers_0_self_attn_v_proj.lokr_w2', 'lycoris_layers_10_cross_attn_k_proj.alpha', 'lycoris_layers_10_cross_attn_k_proj.dora_scale', 'lycoris_layers_10_cross_attn_k_proj.lokr_w1', 'lycoris_layers_10_cross_attn_k_proj.lokr_w2', 'lycoris_layers_10_cross_attn_o_proj.alpha', 'lycoris_layers_10_cross_attn_o_proj.dora_scale', 'lycoris_layers_10_cross_attn_o_proj.lokr_w1', 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'lycoris_layers_7_self_attn_q_proj.dora_scale', 'lycoris_layers_7_self_attn_q_proj.lokr_w1', 'lycoris_layers_7_self_attn_q_proj.lokr_w2', 'lycoris_layers_7_self_attn_v_proj.alpha', 'lycoris_layers_7_self_attn_v_proj.dora_scale', 'lycoris_layers_7_self_attn_v_proj.lokr_w1', 'lycoris_layers_7_self_attn_v_proj.lokr_w2', 'lycoris_layers_8_cross_attn_k_proj.alpha', 'lycoris_layers_8_cross_attn_k_proj.dora_scale', 'lycoris_layers_8_cross_attn_k_proj.lokr_w1', 'lycoris_layers_8_cross_attn_k_proj.lokr_w2', 'lycoris_layers_8_cross_attn_o_proj.alpha', 'lycoris_layers_8_cross_attn_o_proj.dora_scale', 'lycoris_layers_8_cross_attn_o_proj.lokr_w1', 'lycoris_layers_8_cross_attn_o_proj.lokr_w2', 'lycoris_layers_8_cross_attn_q_proj.alpha', 'lycoris_layers_8_cross_attn_q_proj.dora_scale', 'lycoris_layers_8_cross_attn_q_proj.lokr_w1', 'lycoris_layers_8_cross_attn_q_proj.lokr_w2', 'lycoris_layers_8_cross_attn_v_proj.alpha', 'lycoris_layers_8_cross_attn_v_proj.dora_scale', 'lycoris_layers_8_cross_attn_v_proj.lokr_w1', 'lycoris_layers_8_cross_attn_v_proj.lokr_w2', 'lycoris_layers_8_mlp_down_proj.alpha', 'lycoris_layers_8_mlp_down_proj.dora_scale', 'lycoris_layers_8_mlp_down_proj.lokr_w1', 'lycoris_layers_8_mlp_down_proj.lokr_w2', 'lycoris_layers_8_mlp_gate_proj.alpha', 'lycoris_layers_8_mlp_gate_proj.dora_scale', 'lycoris_layers_8_mlp_gate_proj.lokr_w1', 'lycoris_layers_8_mlp_gate_proj.lokr_w2', 'lycoris_layers_8_mlp_up_proj.alpha', 'lycoris_layers_8_mlp_up_proj.dora_scale', 'lycoris_layers_8_mlp_up_proj.lokr_w1', 'lycoris_layers_8_mlp_up_proj.lokr_w2', 'lycoris_layers_8_self_attn_k_proj.alpha', 'lycoris_layers_8_self_attn_k_proj.dora_scale', 'lycoris_layers_8_self_attn_k_proj.lokr_w1', 'lycoris_layers_8_self_attn_k_proj.lokr_w2', 'lycoris_layers_8_self_attn_o_proj.alpha', 'lycoris_layers_8_self_attn_o_proj.dora_scale', 'lycoris_layers_8_self_attn_o_proj.lokr_w1', 'lycoris_layers_8_self_attn_o_proj.lokr_w2', 'lycoris_layers_8_self_attn_q_proj.alpha', 'lycoris_layers_8_self_attn_q_proj.dora_scale', 'lycoris_layers_8_self_attn_q_proj.lokr_w1', 'lycoris_layers_8_self_attn_q_proj.lokr_w2', 'lycoris_layers_8_self_attn_v_proj.alpha', 'lycoris_layers_8_self_attn_v_proj.dora_scale', 'lycoris_layers_8_self_attn_v_proj.lokr_w1', 'lycoris_layers_8_self_attn_v_proj.lokr_w2', 'lycoris_layers_9_cross_attn_k_proj.alpha', 'lycoris_layers_9_cross_attn_k_proj.dora_scale', 'lycoris_layers_9_cross_attn_k_proj.lokr_w1', 'lycoris_layers_9_cross_attn_k_proj.lokr_w2', 'lycoris_layers_9_cross_attn_o_proj.alpha', 'lycoris_layers_9_cross_attn_o_proj.dora_scale', 'lycoris_layers_9_cross_attn_o_proj.lokr_w1', 'lycoris_layers_9_cross_attn_o_proj.lokr_w2', 'lycoris_layers_9_cross_attn_q_proj.alpha', 'lycoris_layers_9_cross_attn_q_proj.dora_scale', 'lycoris_layers_9_cross_attn_q_proj.lokr_w1', 'lycoris_layers_9_cross_attn_q_proj.lokr_w2', 'lycoris_layers_9_cross_attn_v_proj.alpha', 'lycoris_layers_9_cross_attn_v_proj.dora_scale', 'lycoris_layers_9_cross_attn_v_proj.lokr_w1', 'lycoris_layers_9_cross_attn_v_proj.lokr_w2', 'lycoris_layers_9_mlp_down_proj.alpha', 'lycoris_layers_9_mlp_down_proj.dora_scale', 'lycoris_layers_9_mlp_down_proj.lokr_w1', 'lycoris_layers_9_mlp_down_proj.lokr_w2', 'lycoris_layers_9_mlp_gate_proj.alpha', 'lycoris_layers_9_mlp_gate_proj.dora_scale', 'lycoris_layers_9_mlp_gate_proj.lokr_w1', 'lycoris_layers_9_mlp_gate_proj.lokr_w2', 'lycoris_layers_9_mlp_up_proj.alpha', 'lycoris_layers_9_mlp_up_proj.dora_scale', 'lycoris_layers_9_mlp_up_proj.lokr_w1', 'lycoris_layers_9_mlp_up_proj.lokr_w2', 'lycoris_layers_9_self_attn_k_proj.alpha', 'lycoris_layers_9_self_attn_k_proj.dora_scale', 'lycoris_layers_9_self_attn_k_proj.lokr_w1', 'lycoris_layers_9_self_attn_k_proj.lokr_w2', 'lycoris_layers_9_self_attn_o_proj.alpha', 'lycoris_layers_9_self_attn_o_proj.dora_scale', 'lycoris_layers_9_self_attn_o_proj.lokr_w1', 'lycoris_layers_9_self_attn_o_proj.lokr_w2', 'lycoris_layers_9_self_attn_q_proj.alpha', 'lycoris_layers_9_self_attn_q_proj.dora_scale', 'lycoris_layers_9_self_attn_q_proj.lokr_w1', 'lycoris_layers_9_self_attn_q_proj.lokr_w2', 'lycoris_layers_9_self_attn_v_proj.alpha', 'lycoris_layers_9_self_attn_v_proj.dora_scale', 'lycoris_layers_9_self_attn_v_proj.lokr_w1', 'lycoris_layers_9_self_attn_v_proj.lokr_w2', 'lycoris_proj_in_1.alpha', 'lycoris_proj_in_1.dora_scale', 'lycoris_proj_in_1.lokr_w1', 'lycoris_proj_in_1.lokr_w2', 'lycoris_time_embed_linear_1.alpha', 'lycoris_time_embed_linear_1.dora_scale', 'lycoris_time_embed_linear_1.lokr_w1', 'lycoris_time_embed_linear_1.lokr_w2', 'lycoris_time_embed_linear_2.alpha', 'lycoris_time_embed_linear_2.dora_scale', 'lycoris_time_embed_linear_2.lokr_w1', 'lycoris_time_embed_linear_2.lokr_w2', 'lycoris_time_embed_r_linear_1.alpha', 'lycoris_time_embed_r_linear_1.dora_scale', 'lycoris_time_embed_r_linear_1.lokr_w1', 'lycoris_time_embed_r_linear_1.lokr_w2', 'lycoris_time_embed_r_linear_2.alpha', 'lycoris_time_embed_r_linear_2.dora_scale', 'lycoris_time_embed_r_linear_2.lokr_w1', 'lycoris_time_embed_r_linear_2.lokr_w2', 'lycoris_time_embed_r_time_proj.alpha', 'lycoris_time_embed_r_time_proj.dora_scale', 'lycoris_time_embed_r_time_proj.lokr_w1', 'lycoris_time_embed_r_time_proj.lokr_w2', 'lycoris_time_embed_time_proj.alpha', 'lycoris_time_embed_time_proj.dora_scale', 'lycoris_time_embed_time_proj.lokr_w1', 'lycoris_time_embed_time_proj.lokr_w2']2026-02-10T18:31:02.699571 - +2026-02-10T18:31:02.702584 - ACE-Step LoKr applied successfully.2026-02-10T18:31:02.703083 - +2026-02-10T18:31:02.709618 - Warning: TAESD previews enabled, but could not find models/vae_approx/None +2026-02-10T18:31:02.710619 - Requested to load ACEStep15 +2026-02-10T18:31:02.716330 - + 0%| | 0/14 [00:00