modelscope/DiffSynth-Studio

8.5

Adjusted Score

8.5

Raw Score

100%

Time Factor

2026-08-28

Last Push

13.0K

Stars

Python

Language

144.9K

Lines of Code

1.4K

Files

1.1K

Pattern Hits

2026-08-29

Scan Date

0.02

HC Hit Rate

What These Metrics Mean

Adjusted Score: Primary synthetic code indicator. Raw score normalised per 1,000 lines of code and multiplied by the temporal discount factor. This is the definitive comparative metric — use it to rank repositories by AI authorship density.
Raw Score: The unmodified sum of all severity-weighted, context-multiplied pattern match scores before temporal discounting. Reflects the absolute signal strength independent of when the repository was last active.
Time Factor: The temporal discount multiplier (0–100%) applied to the raw score. Repositories last updated before ChatGPT's launch (Nov 2022) receive a 5% factor. Full signal is only assigned to repositories active in the post-adoption era (Jan 2024+).
Pattern Hits: Total count of individual pattern matches across all files and categories. A high hit count with a low score may indicate a very large codebase with isolated AI snippets; a low count with a high score indicates dense, concentrated AI signatures.
HC Hit Rate: High+Critical pattern hits per file, averaged across the repository. This orthogonal signal catches repositories where a few files are densely packed with high-severity AI tells — a strong indicator even when the normalised score appears moderate due to codebase size.
Lines of Code / Files: Total lines and files analysed. The scanner examines 94 file extensions. These denominators are used to normalise the score, enabling fair comparison between repositories of vastly different sizes.

Score History

This chart maps the temporal evolution of the adjusted synthetic code score across successive scan runs. An upward trajectory indicates ongoing incorporation of AI-generated code or expanding LLM-assisted scaffolding; a stable or declining trajectory may reflect active human refactoring, code removal, or the adoption of stricter authorship policies. The dashed secondary line (right axis) independently tracks total raw pattern hit count, which can diverge from the normalised score when codebase size changes significantly between scans.

Severity Breakdown

Classifies detected patterns by their diagnostic confidence and structural impact. CRITICAL patterns (coefficient 10) represent definitive synthetic signatures — hallucinated imports, explicit LLM attribution metadata — virtually never produced by human authors. HIGH (5) indicates strong structural tells such as cross-file repetition or cross-linguistic idioms. MEDIUM (2) covers recognisable conversational padding and AI-specific vocabulary. LOW (1) captures subtle indicators like tautological comments and generic boilerplate that require density to carry independent signal.

CRITICAL 1HIGH 22MEDIUM 21LOW 1038

Directory Score Breakdown

This horizontal bar chart decomposes the repository's raw synthetic code score by top-level directory, allowing you to pinpoint precisely which modules or components carry the highest AI authorship density. Directories with disproportionately high scores relative to their size warrant targeted manual review: concentrated AI signatures often trace back to mass-generated configuration layers, auto-ported test suites, LLM-scaffolded boilerplate classes, or entire subsystems authored under heavy copilot assistance. Use this view to prioritise your human code-review effort.

Pattern Findings

The scanner identified 1082 distinct pattern matches across 18 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a statistically significant AI authorship indicator. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.

Reading the findings table: The Severity column indicates the diagnostic confidence level (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — comment-context matches receive a ×1.5 weight because LLMs systematically over-annotate. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier as dense clusters constitute far stronger evidence of synthetic authorship than isolated hits.

Unused Imports363 hits · 363 pts

Severity	File	Line	Context
LOW	docs/zh/Research_Tutorial/train_from_scratch.py	8	CODE
LOW	docs/en/Research_Tutorial/train_from_scratch.py	8	CODE
LOW	diffsynth/__init__.py	1	CODE
LOW	diffsynth/metrics/__init__.py	1	CODE
LOW	diffsynth/metrics/__init__.py	2	CODE
LOW	diffsynth/metrics/__init__.py	3	CODE
LOW	diffsynth/metrics/__init__.py	4	CODE
LOW	diffsynth/metrics/__init__.py	5	CODE
LOW	diffsynth/metrics/__init__.py	6	CODE
LOW	diffsynth/metrics/__init__.py	7	CODE
LOW	diffsynth/metrics/__init__.py	8	CODE
LOW	diffsynth/metrics/__init__.py	9	CODE
LOW	diffsynth/metrics/__init__.py	10	CODE
LOW	diffsynth/metrics/__init__.py	11	CODE
LOW	diffsynth/metrics/__init__.py	12	CODE
LOW	diffsynth/metrics/__init__.py	13	CODE
LOW	diffsynth/metrics/__init__.py	14	CODE
LOW	diffsynth/metrics/lpips.py	5	CODE
LOW	diffsynth/core/__init__.py	1	CODE
LOW	diffsynth/core/__init__.py	2	CODE
LOW	diffsynth/core/__init__.py	3	CODE
LOW	diffsynth/core/__init__.py	4	CODE
LOW	diffsynth/core/__init__.py	5	CODE
LOW	diffsynth/core/__init__.py	6	CODE
LOW	diffsynth/core/__init__.py	7	CODE
LOW	diffsynth/core/__init__.py	8	CODE
LOW	diffsynth/core/gradient/__init__.py	1	CODE
LOW	diffsynth/core/quant/__init__.py	1	CODE
LOW	diffsynth/core/quant/__init__.py	1	CODE
LOW	diffsynth/core/quant/__init__.py	1	CODE
LOW	diffsynth/core/quant/__init__.py	1	CODE
LOW	diffsynth/core/quant/__init__.py	1	CODE
LOW	diffsynth/core/quant/__init__.py	1	CODE
LOW	diffsynth/core/quant/__init__.py	2	CODE
LOW	diffsynth/core/quant/__init__.py	2	CODE
LOW	diffsynth/core/quant/__init__.py	2	CODE
LOW	diffsynth/core/quant/__init__.py	2	CODE
LOW	diffsynth/core/quant/__init__.py	2	CODE
LOW	diffsynth/core/quant/__init__.py	2	CODE
LOW	diffsynth/core/quant/__init__.py	3	CODE
LOW	diffsynth/core/attention/__init__.py	1	CODE
LOW	diffsynth/core/offload_training/__init__.py	1	CODE
LOW	diffsynth/core/loader/__init__.py	1	CODE
LOW	diffsynth/core/loader/__init__.py	1	CODE
LOW	diffsynth/core/loader/__init__.py	1	CODE
LOW	diffsynth/core/loader/__init__.py	2	CODE
LOW	diffsynth/core/loader/__init__.py	2	CODE
LOW	diffsynth/core/loader/__init__.py	3	CODE
LOW	diffsynth/core/loader/model.py	6	CODE
LOW	diffsynth/core/vram/__init__.py	1	CODE
LOW	diffsynth/core/vram/__init__.py	2	CODE
LOW	diffsynth/core/device/__init__.py	1	CODE
LOW	diffsynth/core/device/__init__.py	1	CODE
LOW	diffsynth/core/device/__init__.py	1	CODE
LOW	diffsynth/core/device/__init__.py	1	CODE
LOW	diffsynth/core/device/__init__.py	2	CODE
LOW	diffsynth/core/device/__init__.py	2	CODE
LOW	diffsynth/core/device/npu_compatible_device.py	14	CODE
LOW	diffsynth/core/data/__init__.py	1	CODE
LOW	diffsynth/core/data/unified_dataset.py	1	CODE
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AI Structural Patterns241 hits · 237 pts

Severity	File	Line	Context
LOW	docs/zh/Research_Tutorial/train_from_scratch.py	155	CODE
LOW	docs/en/Research_Tutorial/train_from_scratch.py	155	CODE
LOW	diffsynth/metrics/hpsv3.py	15	CODE
LOW	diffsynth/metrics/unified_reward_edit.py	20	CODE
LOW	diffsynth/metrics/qwen_image_bench.py	17	CODE
LOW	diffsynth/core/attention/attention.py	116	CODE
LOW	diffsynth/core/attention/attention.py	101	CODE
LOW	diffsynth/core/attention/attention.py	160	CODE
LOW	diffsynth/core/attention/attention.py	171	CODE
LOW	diffsynth/core/attention/attention.py	163	CODE
LOW	diffsynth/core/attention/attention.py	182	CODE
LOW	diffsynth/core/attention/attention.py	174	CODE
LOW	diffsynth/core/attention/attention.py	191	CODE
LOW	diffsynth/core/attention/attention.py	185	CODE
LOW	diffsynth/core/attention/attention.py	202	CODE
LOW	diffsynth/core/attention/attention.py	194	CODE
LOW	diffsynth/core/attention/attention.py	210	CODE
LOW	diffsynth/core/attention/attention.py	218	CODE
LOW	diffsynth/core/attention/attention.py	227	CODE
LOW	diffsynth/core/attention/attention.py	221	CODE
LOW	diffsynth/core/attention/attention.py	230	CODE
LOW	diffsynth/core/loader/model.py	11	CODE
LOW	diffsynth/core/vram/layers.py	10	CODE
LOW	diffsynth/core/vram/layers.py	38	CODE
LOW	diffsynth/core/vram/layers.py	95	CODE
LOW	diffsynth/core/vram/layers.py	214	CODE
LOW	diffsynth/core/vram/layers.py	296	CODE
LOW	diffsynth/core/vram/layers.py	375	CODE
LOW	diffsynth/core/vram/layers.py	446	CODE
LOW	diffsynth/core/data/unified_dataset.py	40	CODE
LOW	diffsynth/pipelines/anima_image.py	74	CODE
LOW	diffsynth/pipelines/stable_diffusion_xl.py	90	CODE
LOW	diffsynth/pipelines/ltx2_audio_video.py	647	CODE
LOW	diffsynth/pipelines/ltx2_audio_video.py	169	CODE
LOW	diffsynth/pipelines/lingbot_video.py	83	CODE
LOW	diffsynth/pipelines/flux_image.py	1298	CODE
LOW	diffsynth/pipelines/flux_image.py	131	CODE
LOW	diffsynth/pipelines/flux_image.py	194	CODE
LOW	diffsynth/pipelines/hidream_o1_image.py	60	CODE
LOW	diffsynth/pipelines/krea2.py	280	CODE
LOW	diffsynth/pipelines/krea2.py	248	CODE
LOW	diffsynth/pipelines/krea2.py	63	CODE
LOW	diffsynth/pipelines/minimax_h3_audio_video.py	834	CODE
LOW	diffsynth/pipelines/minimax_h3_audio_video.py	90	CODE
LOW	diffsynth/pipelines/wan_video.py	1455	CODE
LOW	diffsynth/pipelines/wan_video.py	1817	CODE
LOW	diffsynth/pipelines/wan_video.py	1908	CODE
LOW	diffsynth/pipelines/wan_video.py	120	CODE
LOW	diffsynth/pipelines/wan_video.py	198	CODE
LOW	diffsynth/pipelines/wan_video.py	937	CODE
LOW	diffsynth/pipelines/ace_step.py	573	CODE
LOW	diffsynth/pipelines/ace_step.py	90	CODE
LOW	diffsynth/pipelines/mova_audio_video.py	348	CODE
LOW	diffsynth/pipelines/mova_audio_video.py	115	CODE
LOW	diffsynth/pipelines/stable_diffusion.py	66	CODE
LOW	diffsynth/pipelines/ideogram4.py	270	CODE
LOW	diffsynth/pipelines/ideogram4.py	68	CODE
LOW	diffsynth/pipelines/ernie_image.py	266	CODE
LOW	diffsynth/pipelines/ernie_image.py	67	CODE
LOW	diffsynth/pipelines/qwen_image.py	707	CODE
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Hyper-Verbose Identifiers185 hits · 176 pts

Severity	File	Line	Snippet	Context
LOW	docs/zh/API_Reference/core/quant.md	249	def create_quantized_linear_shell(self, linear, compute_dtype):	CODE
LOW	docs/zh/Diffusion_Templates/Template_Model_Training.md	31	class DataProcessor:	CODE
LOW	docs/zh/Diffusion_Templates/Template_Model_Training.md	122	class DataProcessor:	CODE
LOW	docs/zh/Diffusion_Templates/Template_Model_Training.md	147	class DataProcessor:	CODE
LOW	…zh/Developer_Guide/Integrating_Quantization_Backend.md	140	def create_quantized_linear_shell(self, linear, compute_dtype):	CODE
LOW	docs/en/API_Reference/core/quant.md	249	def create_quantized_linear_shell(self, linear, compute_dtype):	CODE
LOW	docs/en/Diffusion_Templates/Template_Model_Training.md	31	class DataProcessor:	CODE
LOW	docs/en/Diffusion_Templates/Template_Model_Training.md	122	class DataProcessor:	CODE
LOW	docs/en/Diffusion_Templates/Template_Model_Training.md	142	class DataProcessor:	CODE
LOW	…en/Developer_Guide/Integrating_Quantization_Backend.md	140	def create_quantized_linear_shell(self, linear, compute_dtype):	CODE
LOW	diffsynth/core/gradient/gradient_checkpoint.py	17	def create_custom_forward_use_reentrant(module):	CODE
LOW	diffsynth/core/gradient/gradient_checkpoint.py	30	def gradient_checkpoint_forward(	CODE
LOW	diffsynth/core/quant/config.py	213	def prepare_for_prequantized_load(self, model: torch.nn.Module, compute_dtype: torch.dtype = torch.bfloat16):	CODE
LOW	diffsynth/core/quant/config.py	260	def measure_quantization_error(self, model: torch.nn.Module, compute_device="cuda", verbose=True) -> list:	CODE
LOW	diffsynth/core/quant/config.py	469	def prepare_for_prequantized_load(self, model: torch.nn.Module, compute_dtype: torch.dtype = torch.bfloat16):	CODE
LOW	diffsynth/core/quant/config.py	528	def measure_quantization_error(self, model: torch.nn.Module, compute_device="cuda", verbose=True) -> list:	CODE
LOW	diffsynth/core/quant/config.py	540	def _distinct_backend_configs(self):	CODE
LOW	diffsynth/core/quant/base.py	74	def create_quantized_linear_shell(self, linear: torch.nn.Linear, compute_dtype: torch.dtype) -> torch.nn.Module:	CODE
LOW	diffsynth/core/quant/backends/torchao.py	70	def create_quantized_linear_shell(self, linear, compute_dtype):	CODE
LOW	diffsynth/core/quant/backends/torchao.py	134	def _mx_dynamic_activation_mx_weight(elem_dtype):	CODE
LOW	diffsynth/core/quant/backends/bitsandbytes.py	91	def create_quantized_linear_shell(self, linear, compute_dtype):	CODE
LOW	diffsynth/core/quant/backends/comfy_kitchen.py	233	def create_quantized_linear_shell(self, linear, compute_dtype):	CODE
LOW⚡	diffsynth/core/attention/attention.py	61	def initialize_attention_priority():	CODE
LOW	diffsynth/core/attention/attention.py	119	def torch_sdpa_sliding_window(q: torch.Tensor, k: torch.Tensor, v: torch.Tensor, sliding_window: int, q_pattern="b n s d	CODE
LOW	diffsynth/core/attention/attention.py	194	def flash_attention_customized_kernel(q: torch.Tensor, k: torch.Tensor, v: torch.Tensor, q_pattern="b n s d", k_pattern=	CODE
LOW	diffsynth/core/offload_training/manager.py	138	def _find_orphan_params_and_buffers(self, model: nn.Module, managed_param_ids: set):	CODE
LOW	diffsynth/core/npu_patch/npu_fused_operator.py	16	def rms_norm_forward_transformers_npu(self, hidden_states):	CODE
LOW	diffsynth/core/loader/config.py	67	def parse_original_file_pattern(self):	CODE
LOW	diffsynth/core/loader/model.py	130	def load_model_with_disk_offload(model_class, path, config=None, torch_dtype=torch.bfloat16, device="cpu", state_dict_co	CODE
LOW	diffsynth/core/loader/file.py	26	def load_state_dict_from_safetensors(file_path, torch_dtype=None, device="cpu"):	CODE
LOW	diffsynth/core/loader/file.py	36	def load_metadata_from_safetensors(file_path):	CODE
LOW	diffsynth/core/loader/file.py	73	def convert_state_dict_keys_to_single_str(state_dict, with_shape=True):	CODE
LOW	diffsynth/core/loader/file.py	107	def load_keys_dict_from_safetensors(file_path):	CODE
LOW	diffsynth/core/loader/file.py	115	def convert_state_dict_to_keys_dict(state_dict):	CODE
LOW	diffsynth/core/loader/file.py	131	def convert_keys_dict_to_single_str(state_dict, with_shape=True):	CODE
LOW	diffsynth/core/vram/initialization.py	6	def skip_model_initialization(device=torch.device("meta")):	CODE
LOW	diffsynth/core/vram/layers.py	563	def _materialize_root_params_from_disk(model: torch.nn.Module, disk_map: DiskMap):	CODE
LOW	diffsynth/core/vram/layers.py	574	def enable_vram_management_recursively(model: torch.nn.Module, module_map: dict, vram_config: dict, vram_limit=None, nam	CODE
LOW	diffsynth/core/device/npu_compatible_device.py	108	def get_available_device_type():	CODE
LOW	diffsynth/core/data/unified_dataset.py	62	def search_for_cached_data_files(self, path):	CODE
LOW	diffsynth/pipelines/stable_diffusion_xl.py	311	def model_fn_stable_diffusion_xl(	CODE
LOW	diffsynth/pipelines/ltx2_audio_video.py	488	def apply_input_images_to_latents(self, latents, input_latents, input_indexes, input_strength=1.0, input_latents_vid	CODE
LOW	diffsynth/pipelines/flux_image.py	31	def process_single_controlnet(self, controlnet_input: ControlNetInput, conditioning: torch.Tensor, **kwargs):	CODE
LOW	diffsynth/pipelines/flux_image.py	481	def apply_controlnet_mask_on_latents(self, pipe, latents, mask):	CODE
LOW	diffsynth/pipelines/flux_image.py	488	def apply_controlnet_mask_on_image(self, pipe, image, mask):	CODE
LOW	diffsynth/pipelines/flux_image.py	1117	def extract_arcface_bgr_embedding(self, in_image, landmark, device):	CODE
LOW	diffsynth/pipelines/flux_image.py	1151	def parse_lora_encoder_inputs(self, lora_encoder_inputs):	CODE
LOW⚡	diffsynth/pipelines/minimax_h3_audio_video.py	470	def _resolve_reference_image_shape(self, pipe: MiniMaxH3Pipeline, width: int, height: int, short_edge: int):	CODE
LOW⚡	diffsynth/pipelines/minimax_h3_audio_video.py	474	def _resolve_reference_video_shape(self, pipe: MiniMaxH3Pipeline, width: int, height: int, short_edge: int, max_pixe	CODE
LOW⚡	diffsynth/pipelines/minimax_h3_audio_video.py	478	def _trim_reference_video_length(self, pipe: MiniMaxH3Pipeline, frame_count: int) -> int:	CODE
LOW	diffsynth/pipelines/wan_video.py	1438	def wantodance_get_single_freqs(freqs, frame_num, fps):	CODE
LOW	diffsynth/pipelines/wan_video.py	1722	def create_custom_forward_vap(block, vap):	CODE
LOW	diffsynth/pipelines/ace_step.py	193	def switch_noncover_condition(self, inputs_shared, inputs_posi, inputs_nega, progress_id):	CODE
LOW	diffsynth/pipelines/ace_step.py	422	def _get_silence_latent_slice(self, pipe, length: int) -> torch.Tensor:	CODE
LOW	diffsynth/pipelines/mova_audio_video.py	348	def model_fn_mova_audio_video(	CODE
LOW	diffsynth/pipelines/stable_diffusion.py	210	def model_fn_stable_diffusion(	CODE
LOW	diffsynth/pipelines/qwen_image.py	500	def apply_controlnet_mask_on_latents(self, pipe, latents, mask):	CODE
LOW	diffsynth/pipelines/qwen_image.py	507	def apply_controlnet_mask_on_image(self, pipe, image, mask):	CODE
LOW	diffsynth/pipelines/qwen_image.py	628	def encode_images_using_qwenvl(self, pipe: QwenImagePipeline, images: list[Image.Image], highres=False):	CODE
LOW	diffsynth/utils/quant/serialization.py	33	def test_save_quantized_model():	CODE
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Deep Nesting123 hits · 122 pts

Severity	File	Line	Context
LOW	diffsynth/core/quant/base.py	163	CODE
LOW	diffsynth/core/attention/attention.py	61	CODE
LOW	diffsynth/core/attention/attention.py	230	CODE
LOW	diffsynth/core/loader/config.py	84	CODE
LOW	diffsynth/core/loader/model.py	11	CODE
LOW	diffsynth/core/loader/file.py	57	CODE
LOW	diffsynth/core/loader/file.py	73	CODE
LOW	diffsynth/core/loader/file.py	131	CODE
LOW	diffsynth/core/vram/layers.py	574	CODE
LOW	diffsynth/core/data/operators.py	325	CODE
LOW	diffsynth/core/data/unified_dataset.py	70	CODE
LOW	diffsynth/core/data/unified_dataset.py	89	CODE
LOW	diffsynth/pipelines/flux_image.py	1298	CODE
LOW	diffsynth/pipelines/flux_image.py	115	CODE
LOW	diffsynth/pipelines/hidream_o1_image.py	166	CODE
LOW	diffsynth/pipelines/minimax_music3.py	42	CODE
LOW	diffsynth/pipelines/minimax_h3_audio_video.py	55	CODE
LOW	diffsynth/pipelines/minimax_h3_audio_video.py	252	CODE
LOW	diffsynth/pipelines/minimax_h3_audio_video.py	692	CODE
LOW	diffsynth/pipelines/wan_video.py	1455	CODE
LOW	diffsynth/pipelines/ace_step.py	486	CODE
LOW	diffsynth/utils/controlnet/annotator.py	10	CODE
LOW	…synth/utils/state_dict_converters/ltx2_text_encoder.py	1	CODE
LOW	…synth/utils/state_dict_converters/ltx2_text_encoder.py	24	CODE
LOW	…ffsynth/utils/state_dict_converters/flux_controlnet.py	4	CODE
LOW	diffsynth/utils/state_dict_converters/image_metrics.py	12	CODE
LOW	diffsynth/utils/state_dict_converters/image_metrics.py	79	CODE
LOW	diffsynth/utils/state_dict_converters/image_metrics.py	93	CODE
LOW	diffsynth/utils/state_dict_converters/image_metrics.py	107	CODE
LOW	…utils/state_dict_converters/minimax_h3_text_encoder.py	30	CODE
LOW	diffsynth/utils/state_dict_converters/flux_vae.py	267	CODE
LOW	diffsynth/utils/state_dict_converters/flux_vae.py	326	CODE
LOW	diffsynth/utils/state_dict_converters/flux_dit.py	4	CODE
LOW	diffsynth/utils/state_dict_converters/flux_dit.py	95	CODE
LOW	diffsynth/utils/state_dict_converters/ltx2_video_vae.py	1	CODE
LOW	diffsynth/utils/state_dict_converters/ltx2_video_vae.py	14	CODE
LOW	…th/utils/state_dict_converters/stable_diffusion_vae.py	1	CODE
LOW	…tils/state_dict_converters/joyai_image_text_encoder.py	1	CODE
LOW	diffsynth/utils/lora/minimax_h3.py	40	CODE
LOW	diffsynth/utils/lora/sdxl.py	766	CODE
LOW	diffsynth/utils/lora/flux.py	84	CODE
LOW	diffsynth/utils/lora/flux.py	113	CODE
LOW	diffsynth/utils/data/minimax_h3.py	79	CODE
LOW	diffsynth/models/longcat_video_dit.py	697	CODE
LOW	diffsynth/models/stable_diffusion_unet.py	63	CODE
LOW	diffsynth/models/hpsv3.py	109	CODE
LOW	diffsynth/models/mova_dual_tower_bridge.py	136	CODE
LOW	diffsynth/models/flux2_vae.py	78	CODE
LOW	diffsynth/models/flux2_vae.py	489	CODE
LOW	diffsynth/models/flux2_vae.py	693	CODE
LOW	diffsynth/models/flux2_vae.py	743	CODE
LOW	diffsynth/models/qwen_image_image2lora.py	119	CODE
LOW	diffsynth/models/minimax_h3_video_vae.py	469	CODE
LOW	diffsynth/models/minimax_h3_video_vae.py	584	CODE
LOW	diffsynth/models/z_image_image2lora.py	103	CODE
LOW	diffsynth/models/z_image_image2lora.py	179	CODE
LOW	diffsynth/models/mova_audio_vae.py	590	CODE
LOW	diffsynth/models/mova_audio_vae.py	771	CODE
LOW	diffsynth/models/wan_video_dit_s2v.py	27	CODE
LOW	diffsynth/models/wan_video_dit_s2v.py	284	CODE
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Cross-File Repetition20 hits · 100 pts

Severity	File	Snippet	Context
HIGH	docs/zh/Model_Details/Ideogram-4.md	{ "high_level_description": "a medium-shot photograph of formula 1 driver max verstappen wearing his red bull racing rac	STRING
HIGH	docs/en/Model_Details/Ideogram-4.md	{ "high_level_description": "a medium-shot photograph of formula 1 driver max verstappen wearing his red bull racing rac	STRING
HIGH	…/model_inference_low_vram/ideogram-4-bf16-repackage.py	{ "high_level_description": "a medium-shot photograph of formula 1 driver max verstappen wearing his red bull racing rac	STRING
HIGH	…ideogram4/model_inference/ideogram-4-bf16-repackage.py	{ "high_level_description": "a medium-shot photograph of formula 1 driver max verstappen wearing his red bull racing rac	STRING
HIGH	examples/ideogram4/model_inference/ideogram-4-fp8.py	{ "high_level_description": "a medium-shot photograph of formula 1 driver max verstappen wearing his red bull racing rac	STRING
HIGH	examples/ideogram4/model_inference/ideogram-4-nf4.py	{ "high_level_description": "a medium-shot photograph of formula 1 driver max verstappen wearing his red bull racing rac	STRING
HIGH	docs/en/Model_Details/MiniMax-H3.md	widen the half-open frame range [start, end) to whole clips. frames count from 0.	STRING
HIGH	…nimax_h3/model_inference_low_vram/MiniMax-H3-Retake.py	widen the half-open frame range [start, end) to whole clips. frames count from 0.	STRING
HIGH	…amples/minimax_h3/model_inference/MiniMax-H3-Retake.py	widen the half-open frame range [start, end) to whole clips. frames count from 0.	STRING
HIGH	diffsynth/models/ltx2_dit.py	this matches the implementation in denoising diffusion probabilistic models: create sinusoidal timestep embeddings. args	STRING
HIGH	diffsynth/models/flux2_dit.py	this matches the implementation in denoising diffusion probabilistic models: create sinusoidal timestep embeddings. args	STRING
HIGH	diffsynth/models/boogu_image_dit.py	this matches the implementation in denoising diffusion probabilistic models: create sinusoidal timestep embeddings. args	STRING
HIGH	diffsynth/configs/model_configs.py	offical model repo: https://www.modelscope.cn/models/lightricks/ltx-2 repackaged model repo: https://www.modelscope.cn/m	STRING
HIGH	…s/ltx2/model_inference_low_vram/LTX-2-T2AV-OneStage.py	offical model repo: https://www.modelscope.cn/models/lightricks/ltx-2 repackaged model repo: https://www.modelscope.cn/m	STRING
HIGH	…s/ltx2/model_inference_low_vram/LTX-2-T2AV-TwoStage.py	offical model repo: https://www.modelscope.cn/models/lightricks/ltx-2 repackaged model repo: https://www.modelscope.cn/m	STRING
HIGH	examples/ltx2/model_inference/LTX-2-T2AV-OneStage.py	offical model repo: https://www.modelscope.cn/models/lightricks/ltx-2 repackaged model repo: https://www.modelscope.cn/m	STRING
HIGH	examples/ltx2/model_inference/LTX-2-T2AV-TwoStage.py	offical model repo: https://www.modelscope.cn/models/lightricks/ltx-2 repackaged model repo: https://www.modelscope.cn/m	STRING
HIGH	…odel_inference_low_vram/acestep15xlsft-vocals2music.py	[verse 1] 深夜的屏幕，微光在闪烁指尖敲击着，未知的脉络不再是孤岛，独自去摸索这里有一片海，等待你停泊从零到一的距离，不再遥远丰富的模型，静候被点燃打破围墙的界限，推倒高墙让智慧的火花，自由地碰撞 [pre-choru	STRING
HIGH	…ce_step/model_inference/acestep15xlsft-vocals2music.py	[verse 1] 深夜的屏幕，微光在闪烁指尖敲击着，未知的脉络不再是孤岛，独自去摸索这里有一片海，等待你停泊从零到一的距离，不再遥远丰富的模型，静候被点燃打破围墙的界限，推倒高墙让智慧的火花，自由地碰撞 [pre-choru	STRING
HIGH	…_training/validate_full/acestep15xlsft-vocals2music.py	[verse 1] 深夜的屏幕，微光在闪烁指尖敲击着，未知的脉络不再是孤岛，独自去摸索这里有一片海，等待你停泊从零到一的距离，不再遥远丰富的模型，静候被点燃打破围墙的界限，推倒高墙让智慧的火花，自由地碰撞 [pre-choru	STRING

Structural Annotation Overuse33 hits · 56 pts

Severity	File	Line	Snippet	Context
LOW	docs/zh/Developer_Guide/Integrating_Your_Model.md	5	## Step 1: 集成模型结构代码	COMMENT
LOW	docs/zh/Developer_Guide/Integrating_Your_Model.md	80	## Step 2: 模型文件格式转换	COMMENT
LOW	docs/zh/Developer_Guide/Integrating_Your_Model.md	105	## Step 3: 编写模型 Config	COMMENT
LOW	docs/zh/Developer_Guide/Integrating_Your_Model.md	150	## Step 4: 检验模型是否能被识别和加载	COMMENT
LOW	docs/zh/Developer_Guide/Integrating_Your_Model.md	184	## Step 5: 编写模型显存管理方案	COMMENT
LOW	docs/en/Pipeline_Usage/Quantization.md	322	### Step 1: Save the Quantized Weights	COMMENT
LOW	docs/en/Pipeline_Usage/Quantization.md	351	### Step 2: Register the Hash in the Model Config	COMMENT
LOW	docs/en/Pipeline_Usage/Quantization.md	377	### Step 3: Load for Inference	COMMENT
LOW⚡	docs/en/Training/Split_Training.md	145	# Step 1: initialize X_0, the set of directly related units	COMMENT
LOW⚡	docs/en/Training/Split_Training.md	150	# Step 2: build the data dependency edges E and the updating chain c(p) of each parameter	COMMENT
LOW⚡	docs/en/Training/Split_Training.md	154	# Step 3: fixed-point iteration X_{k+1} = X_k ∪ F(X_k) ∪ U(X_k)	COMMENT
LOW⚡	docs/en/Training/Split_Training.md	162	# Step 4: output the bipartition (V1, V2)	COMMENT
LOW	…en/Developer_Guide/Integrating_Quantization_Backend.md	22	## Step 1: Write the Quantized Linear	COMMENT
LOW	…en/Developer_Guide/Integrating_Quantization_Backend.md	100	## Step 2: Write the Backend	COMMENT
LOW	…en/Developer_Guide/Integrating_Quantization_Backend.md	154	## Step 3: Write the Backend Config	COMMENT
LOW	…en/Developer_Guide/Integrating_Quantization_Backend.md	165	## Step 4: Register the Quantization Method	COMMENT
LOW	…en/Developer_Guide/Integrating_Quantization_Backend.md	198	## Step 5: Self-Check	COMMENT
LOW	docs/en/Developer_Guide/Integrating_Your_Model.md	5	## Step 1: Integrate Model Architecture Code	COMMENT
LOW	docs/en/Developer_Guide/Integrating_Your_Model.md	80	## Step 2: Model File Format Conversion	COMMENT
LOW	docs/en/Developer_Guide/Integrating_Your_Model.md	105	## Step 3: Writing Model Config	COMMENT
LOW	docs/en/Developer_Guide/Integrating_Your_Model.md	150	## Step 4: Verifying Whether the Model Can Be Recognized and Loaded	COMMENT
LOW	docs/en/Developer_Guide/Integrating_Your_Model.md	184	## Step 5: Writing Model VRAM Management Scheme	COMMENT
LOW⚡	diffsynth/models/ltx2_audio_vae.py	1235	# Step 1: Crop first to avoid exceeding target dimensions	COMMENT
LOW⚡	diffsynth/models/ltx2_audio_vae.py	1240	# Step 2: Calculate padding needed for time and frequency dimensions	COMMENT
LOW⚡	diffsynth/models/ltx2_audio_vae.py	1244	# Step 3: Apply padding if needed	COMMENT
LOW	diffsynth/models/ltx2_audio_vae.py	1256	# Step 4: Final safety crop to ensure exact target shape	COMMENT
LOW	diffsynth/models/ace_step_dit.py	219	# Step 1: Self-attention with adaptive layer norm (AdaLN)	COMMENT
LOW	diffsynth/models/ace_step_dit.py	230	# Step 2: Cross-attention (if enabled) for conditioning on encoder outputs	COMMENT
LOW	diffsynth/models/ace_step_dit.py	241	# Step 3: Feed-forward (MLP) with adaptive layer norm	COMMENT
LOW⚡	diffsynth/models/boogu_image_dit.py	2296	# Step 3: image self-attention.	COMMENT
LOW⚡	diffsynth/models/boogu_image_dit.py	2304	# Step 4: residual updates.	COMMENT
LOW	diffsynth/models/boogu_image_dit.py	2250	# Step 1: modulation for both streams.	COMMENT
LOW	diffsynth/models/boogu_image_dit.py	2267	# Step 2: joint attention on [instruct + img].	COMMENT

Over-Commented Block46 hits · 46 pts

Severity	File	Line	Snippet	Context
LOW	docs/zh/conf.py	1	# Configuration file for the Sphinx documentation builder.	COMMENT
LOW	docs/zh/conf.py	81	#	COMMENT
LOW	docs/zh/conf.py	101	# html_theme_path = [sphinx_book_theme.get_html_theme_path()]	COMMENT
LOW	docs/en/conf.py	1	# Configuration file for the Sphinx documentation builder.	COMMENT
LOW	docs/en/conf.py	81	#	COMMENT
LOW	docs/en/conf.py	101	# html_theme_path = [sphinx_book_theme.get_html_theme_path()]	COMMENT
LOW	diffsynth/version.py	1	# Make sure to modify __release_datetime__ to release time when making official release.	COMMENT
LOW	diffsynth/models/stable_diffusion_unet.py	1	# Copyright 2025 The HuggingFace Team. All rights reserved.	COMMENT
LOW	diffsynth/models/flux2_vae.py	1	# Copyright 2025 The HuggingFace Team. All rights reserved.	COMMENT
LOW	diffsynth/models/ace_step_conditioner.py	1	# Copyright 2025 The ACESTEO Team. All rights reserved.	COMMENT
LOW	diffsynth/models/ace_step_vae.py	1	# Copyright 2025 The ACESTEO Team. All rights reserved.	COMMENT
LOW	diffsynth/models/ace_step_dit.py	1	# Copyright 2025 The ACESTEO Team. All rights reserved.	COMMENT
LOW	diffsynth/models/hidream_o1_image_dit.py	1	# Copyright 2025 The Qwen Team and The HuggingFace Inc. team. All rights reserved.	COMMENT
LOW	diffsynth/models/ace_step_tokenizer.py	1	# Copyright 2025 The ACESTEO Team. All rights reserved.	COMMENT
LOW	diffsynth/models/stable_diffusion_vae.py	1	# Copyright 2025 The HuggingFace Team. All rights reserved.	COMMENT
LOW	…s/ltx2/model_inference_low_vram/LTX-2-T2AV-TwoStage.py	41	# use the following modelconfig if you want to initialize model from offical checkpoints from "Lightricks/LTX-2"	COMMENT
LOW	examples/ltx2/model_inference/LTX-2-T2AV-TwoStage.py	41	# pipe = LTX2AudioVideoPipeline.from_pretrained(	COMMENT
LOW	examples/ltx2/model_training/lora/LTX-2-T2AV-noaudio.sh	1	modelscope download --dataset DiffSynth-Studio/diffsynth_example_dataset --include "ltx2/LTX-2-T2AV-noaudio/*" --local_d	COMMENT
LOW	examples/ltx2/model_training/lora/LTX-2-T2AV-splited.sh	1	modelscope download --dataset DiffSynth-Studio/diffsynth_example_dataset --include "ltx2/LTX-2-T2AV-splited/*" --local_d	COMMENT
LOW	…ples/flux2/model_training/full/FLUX.2-klein-base-9B.sh	21		COMMENT
LOW	examples/flux2/model_training/full/FLUX.2-klein-4B.sh	21	# accelerate launch examples/flux2/model_training/train.py \	COMMENT
LOW	examples/flux2/model_training/full/FLUX.2-klein-9B.sh	21		COMMENT
LOW	…s/flux2/model_training/full/TreeAdapter-KleinBase4B.sh	1	# TreeAdapter-KleinBase4B is a multi-LoRA system that supports inference only.	COMMENT
LOW	…ples/flux2/model_training/full/FLUX.2-klein-base-4B.sh	21	# accelerate launch examples/flux2/model_training/train.py \	COMMENT
LOW	…l_training/special/npu_training/FLUX.2-klein-9B-NPU.sh	21	# Edit	COMMENT
LOW	…ples/flux2/model_training/lora/FLUX.2-klein-base-9B.sh	21	# modelscope download --dataset DiffSynth-Studio/diffsynth_example_dataset --include "qwen_image/Qwen-Image-Edit-2511/*"	COMMENT
LOW	examples/flux2/model_training/lora/FLUX.2-klein-4B.sh	21	# modelscope download --dataset DiffSynth-Studio/diffsynth_example_dataset --include "qwen_image/Qwen-Image-Edit-2511/*"	COMMENT
LOW	examples/flux2/model_training/lora/FLUX.2-klein-9B.sh	21	# modelscope download --dataset DiffSynth-Studio/diffsynth_example_dataset --include "qwen_image/Qwen-Image-Edit-2511/*"	COMMENT
LOW	…ples/flux2/model_training/lora/FLUX.2-klein-base-4B.sh	21	# modelscope download --dataset DiffSynth-Studio/diffsynth_example_dataset --include "qwen_image/Qwen-Image-Edit-2511/*"	COMMENT
LOW	…image/model_inference_low_vram/Qwen-Image-Edit-2509.py	41	# edit_image = [Image.open("image.jpg")]	COMMENT
LOW	…l_inference_low_vram/Qwen-Image-Edit-2511-Lightning.py	61	# edit_image = [Image.open("image.jpg")]	COMMENT
LOW	…s/qwen_image/model_inference/FireRed-Image-Edit-1.1.py	41	# edit_image = [Image.open("image.jpg")]	COMMENT
LOW	…s/qwen_image/model_inference/FireRed-Image-Edit-1.0.py	41	# edit_image = [Image.open("image.jpg")]	COMMENT
LOW	…les/qwen_image/model_inference/Qwen-Image-Edit-2511.py	41	# Please use a list to input `edit_image`, even if the input contains only one image.	COMMENT
LOW	…training/full/Qwen-Image-Blockwise-ControlNet-Canny.sh	21	# and then start training with a high learning rate (1e-3).	COMMENT
LOW	…aining/full/Qwen-Image-Blockwise-ControlNet-Inpaint.sh	21	# and then start training with a high learning rate (1e-3).	COMMENT
LOW	…training/full/Qwen-Image-Blockwise-ControlNet-Depth.sh	21	# and then start training with a high learning rate (1e-3).	COMMENT
LOW	…_video/model_inference/lingbot-video-dense-1.3b_t2v.py	61	# from examples.lingbot_video.model_training.scripts.prompt_rewriter import rewrite_prompt	COMMENT
LOW	…m_o1_image/model_training/full/HiDream-O1-Image-Dev.sh	21	# --dataset_base_path data/diffsynth_example_dataset/qwen_image/Qwen-Image-Edit-2511 \	COMMENT
LOW	…dream_o1_image/model_training/full/HiDream-O1-Image.sh	21	# --dataset_base_path data/diffsynth_example_dataset/qwen_image/Qwen-Image-Edit-2511 \	COMMENT
LOW	…m_o1_image/model_training/lora/HiDream-O1-Image-Dev.sh	21		COMMENT
LOW	…dream_o1_image/model_training/lora/HiDream-O1-Image.sh	21		COMMENT
LOW	…mples/z_image/model_training/full/Z-Image-Omni-Base.sh	21	# accelerate launch --config_file examples/z_image/model_training/full/accelerate_config.yaml examples/z_image/model_tra	COMMENT
LOW	…mage/model_training/validate_lora/Z-Image-Omni-Base.py	21	image.save("image.jpg")	COMMENT
LOW	…mage/model_training/validate_full/Z-Image-Omni-Base.py	21	image = pipe(prompt=prompt, seed=42, rand_device="cuda", num_inference_steps=40, cfg_scale=4)	COMMENT
LOW	…mples/z_image/model_training/lora/Z-Image-Omni-Base.sh	21	# Image(s) to image training	COMMENT

Excessive Try-Catch Wrapping27 hits · 35 pts

Severity	File	Line	Snippet	Context
LOW	diffsynth/core/quant/config.py	31	except Exception as error:	CODE
LOW	diffsynth/core/quant/base.py	154	except Exception as error:	CODE
LOW	diffsynth/core/quant/base.py	235	except Exception as error:	CODE
LOW	diffsynth/core/quant/backends/comfy_kitchen.py	183	except Exception as error:	CODE
MEDIUM	diffsynth/core/quant/backends/comfy_kitchen.py	180	def _parse_marker(marker_tensor, layer_name):	CODE
LOW⚡	diffsynth/core/attention/attention.py	10	except Exception:	CODE
LOW⚡	diffsynth/core/attention/attention.py	18	except Exception:	CODE
LOW⚡	diffsynth/core/attention/attention.py	24	except Exception:	CODE
LOW⚡	diffsynth/core/attention/attention.py	30	except Exception:	CODE
LOW⚡	diffsynth/core/attention/attention.py	36	except Exception:	CODE
LOW⚡	diffsynth/core/attention/attention.py	42	except Exception:	CODE
LOW⚡	diffsynth/core/attention/attention.py	49	except Exception:	CODE
LOW⚡	diffsynth/core/attention/attention.py	57	except Exception:	CODE
LOW	diffsynth/core/offload_training/memory_buffer.py	135	except Exception:	CODE
LOW	diffsynth/core/data/operators.py	23	except Exception as e:	CODE
LOW	diffsynth/core/data/operators.py	310	except Exception as e:	CODE
LOW	diffsynth/core/data/operators.py	339	except Exception as e:	CODE
LOW	diffsynth/pipelines/ace_step.py	449	except Exception as e:	CODE
LOW	diffsynth/utils/data/__init__.py	209	except Exception as e:	CODE
LOW	diffsynth/models/flux2_vae.py	808	except Exception as e:	STRING
LOW	diffsynth/models/unified_reward_edit.py	269	except Exception:	CODE
LOW	diffsynth/diffusion/runner.py	29	except Exception as e:	CODE
LOW	…ingbot_video/model_training/scripts/prompt_rewriter.py	98	except Exception:	CODE
LOW	…ingbot_video/model_training/scripts/prompt_rewriter.py	104	except Exception:	CODE
LOW⚡	examples/dev_tools/webui.py	39	except Exception as e:	CODE
MEDIUM⚡	examples/dev_tools/webui.py	41	print(f"Error {error_value}:\n{error_message}")	CODE
MEDIUM	examples/dev_tools/webui.py	36	def catch_error(error_value):	CODE

Self-Referential Comments12 hits · 34 pts

Severity	File	Line	Snippet	Context
MEDIUM	diffsynth/models/flux_vae.py	11	# Create a mask with shape (height, width).	COMMENT
MEDIUM	diffsynth/models/qwen_image_vae.py	318	# Create the components	STRING
MEDIUM	diffsynth/models/ltx2_video_vae.py	133	# Create a tensor containing the size of a single patch:	COMMENT
MEDIUM	diffsynth/models/ltx2_video_vae.py	216	# Define the size of the channels after the first convolution	COMMENT
MEDIUM	…les/flux/model_inference_low_vram/FLUX.1-dev-EliGen.py	19	# Create a blank image for overlays	COMMENT
MEDIUM	examples/flux/model_inference/FLUX.1-dev-EliGen.py	9	# Create a blank image for overlays	COMMENT
MEDIUM	…en_image/model_inference_low_vram/Qwen-Image-EliGen.py	9	# Create a blank image for overlays	COMMENT
MEDIUM	…image/model_inference_low_vram/Qwen-Image-EliGen-V2.py	8	# Create a blank image for overlays	COMMENT
MEDIUM	…e/model_inference_low_vram/Qwen-Image-EliGen-Poster.py	9	# Create a blank image for overlays	COMMENT
MEDIUM	…amples/qwen_image/model_inference/Qwen-Image-EliGen.py	9	# Create a blank image for overlays	COMMENT
MEDIUM	…les/qwen_image/model_inference/Qwen-Image-EliGen-V2.py	8	# Create a blank image for overlays	COMMENT
MEDIUM	…qwen_image/model_inference/Qwen-Image-EliGen-Poster.py	9	# Create a blank image for overlays	COMMENT

Verbosity Indicators11 hits · 20 pts

Severity	File	Line	Snippet	Context
LOW⚡	diffsynth/models/ltx2_audio_vae.py	1235	# Step 1: Crop first to avoid exceeding target dimensions	COMMENT
LOW⚡	diffsynth/models/ltx2_audio_vae.py	1240	# Step 2: Calculate padding needed for time and frequency dimensions	COMMENT
LOW⚡	diffsynth/models/ltx2_audio_vae.py	1244	# Step 3: Apply padding if needed	COMMENT
LOW	diffsynth/models/ltx2_audio_vae.py	1256	# Step 4: Final safety crop to ensure exact target shape	COMMENT
LOW	diffsynth/models/ace_step_dit.py	219	# Step 1: Self-attention with adaptive layer norm (AdaLN)	COMMENT
LOW	diffsynth/models/ace_step_dit.py	230	# Step 2: Cross-attention (if enabled) for conditioning on encoder outputs	COMMENT
LOW	diffsynth/models/ace_step_dit.py	241	# Step 3: Feed-forward (MLP) with adaptive layer norm	COMMENT
LOW⚡	diffsynth/models/boogu_image_dit.py	2296	# Step 3: image self-attention.	COMMENT
LOW⚡	diffsynth/models/boogu_image_dit.py	2304	# Step 4: residual updates.	COMMENT
LOW	diffsynth/models/boogu_image_dit.py	2250	# Step 1: modulation for both streams.	COMMENT
LOW	diffsynth/models/boogu_image_dit.py	2267	# Step 2: joint attention on [instruct + img].	COMMENT

Docstring Block Structure2 hits · 10 pts

Severity	File	Line	Snippet	Context
HIGH	diffsynth/models/nexus_gen_ar_model.py	118	Calculate the 3D rope index based on image and video's temporal, height and width in LLM. Explanation:	STRING
HIGH	diffsynth/models/anima_dit.py	944	Prepares an embedded sequence tensor by applying positional embeddings and handling padding masks. Arg	STRING

Hallucination Indicators1 hit · 10 pts

Severity	File	Line	Snippet	Context
CRITICAL	diffsynth/models/joyai_image_text_encoder.py	73	self.model.model.language_model.norm.register_forward_hook(hook_fn)	CODE

Modern Structural Boilerplate9 hits · 6 pts

Severity	File	Line	Snippet	Context
LOW	diffsynth/metrics/__init__.py	17	__all__ = [	CODE
LOW⚡	diffsynth/models/ltx2_dit.py	1572	def set_gradient_checkpointing(self, enable: bool) -> None:	CODE
LOW	diffsynth/models/flux2_vae.py	726	def set_use_npu_flash_attention(self, use_npu_flash_attention: bool) -> None:	STRING
LOW	diffsynth/models/flux2_vae.py	889	def set_attention_slice(self, slice_size: int) -> None:	STRING
LOW	diffsynth/models/flux2_vae.py	917	def set_processor(self, processor: "AttnProcessor") -> None:	STRING
LOW	diffsynth/models/minimax_h3_video_vae.py	621	__all__ = ["MiniMaxH3VideoVAE"]	CODE
LOW	diffsynth/models/nexus_gen_ar_model.py	932	__all__ = ["Qwen2_5_VLForConditionalGeneration", "Qwen2_5_VLModel", "Qwen2_5_VLPreTrainedModel"]	STRING
LOW	diffsynth/models/nexus_gen_ar_model.py	1143	__all__ = ["Qwen2_5_VLProcessor"]	STRING
LOW	diffsynth/models/boogu_image_dit.py	180	def set_processor(self, processor) -> None:	CODE

Dead Code3 hits · 6 pts

Severity	File	Line	Context
MEDIUM	diffsynth/pipelines/joyai_image.py	200	CODE
MEDIUM	diffsynth/models/z_image_dit.py	991	CODE
MEDIUM	diffsynth/models/clip.py	58	CODE

Decorative Section Separators2 hits · 6 pts

Severity	File	Line	Snippet	Context
MEDIUM	diffsynth/models/ltx2_audio_vae.py	1288	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	diffsynth/models/ltx2_audio_vae.py	1291	# ---------------------------------------------------------------------------	COMMENT

Slop Phrases1 hit · 3 pts

Severity	File	Line	Snippet	Context
MEDIUM	examples/ltx2/model_inference/LTX-2.3-I2AV-TwoStage.py	69	# This example uses the first and last frames for demonstration. However, you can use any frames by setting input_images	COMMENT

Redundant / Tautological Comments2 hits · 2 pts

Severity	File	Line	Snippet	Context
LOW	diffsynth/pipelines/flux2_image.py	442	# Check if Qwen3 text encoder is available	COMMENT
LOW	diffsynth/models/ltx2_video_vae.py	2080	# Check if current temporal slice overlaps with previous temporal slice	STRING

AI Slop Vocabulary1 hit · 0 pts

Severity	File	Line	Snippet	Context
LOW	diffsynth/models/flux2_vae.py	975	# here we simply pass along all tensors to the selected processor class	STRING

Analysis Overview

What These Metrics Mean

Score History

Severity Breakdown

Directory Score Breakdown

Pattern Findings