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Functions1,395 in github.com/CIawevy/TextPecker

⨍ Functions 1,395◇ Types & classes 206↳ Endpoints 2

Method__getitem__

eval/models/Qwenimage/infer_qwenimage_longtext.py:212

Method__getitem__

eval/models/Qwenimage/infer_qwenimage_LeX.py:210

Method__getitem__

eval/models/Flux/infer_flux_dev_TIIF.py:126

Method__getitem__

eval/models/Flux/infer_flux_dev_longtext.py:101

Method__getitem__

eval/models/Flux/infer_flux_dev_LeX.py:85

Method__getitem__

eval/models/Flux/infer_flux_dev_TextAtlasEval.py:85

Method__getitem__

eval/models/Flux/infer_flux_dev_gentexteval.py:89

Method__getitem__

eval/models/Flux/infer_flux_dev_oneig.py:97

Method__getitem__

eval/models/Flux/infer_flux_dev_CVTG2K.py:93

Method__getitem__

RL/flow_grpo/scripts/train_bagel.py:65

Method__getitem__

RL/flow_grpo/scripts/train_bagel.py:84

Method__getitem__

RL/flow_grpo/scripts/train_sd3_fast_guard.py:69

Method__getitem__

RL/flow_grpo/scripts/train_sd3_fast_guard.py:89

Method__getitem__

RL/flow_grpo/scripts/train_qwenimage_fast_guard.py:87

Method__getitem__

RL/flow_grpo/scripts/train_qwenimage_fast_guard.py:114

Method__getitem__

RL/flow_grpo/scripts/train_qwenimage_fast.py:87

Method__getitem__

RL/flow_grpo/scripts/train_qwenimage_fast.py:114

Method__getitem__

RL/flow_grpo/scripts/train_flux_kontext.py:57

Method__getitem__

RL/flow_grpo/scripts/train_sd3_GRPO_Guard.py:69

Method__getitem__

RL/flow_grpo/scripts/train_sd3_GRPO_Guard.py:89

Method__getitem__

RL/flow_grpo/scripts/train_sd3_fast.py:68

Method__getitem__

RL/flow_grpo/scripts/train_sd3_fast.py:88

Method__getitem__

RL/flow_grpo/scripts/train_flux_fast.py:72

Method__getitem__

RL/flow_grpo/scripts/train_flux_fast.py:92

Method__getitem__

RL/flow_grpo/scripts/train_sd3_sft.py:53

Method__getitem__

RL/flow_grpo/scripts/train_sd3_sft.py:72

Method__getitem__

RL/flow_grpo/scripts/train_qwenimage_edit.py:74

Method__getitem__

RL/flow_grpo/scripts/train_sd3.py:51

Method__getitem__

RL/flow_grpo/scripts/train_sd3.py:70

Method__getitem__

RL/flow_grpo/scripts/train_qwenimage.py:73

Method__getitem__

RL/flow_grpo/scripts/train_qwenimage.py:92

Method__getitem__

RL/flow_grpo/scripts/train_sd3_dpo.py:51

Method__getitem__

RL/flow_grpo/scripts/train_sd3_dpo.py:70

Method__getitem__

RL/flow_grpo/scripts/train_wan2_1.py:53

Method__getitem__

RL/flow_grpo/scripts/train_wan2_1.py:72

Method__getitem__

RL/flow_grpo/scripts/train_flux.py:55

Method__getitem__

RL/flow_grpo/scripts/train_flux.py:74

Method__getitem__

RL/flow_grpo/scripts/train_flux_fast_guard.py:72

Method__getitem__

RL/flow_grpo/scripts/train_flux_fast_guard.py:92

Method__getstate__

RL/flow_grpo/flow_grpo/bagel/modeling/siglip/tokenization_siglip.py:242

eval/TIIF-Bench/eval/summary_dimension_results.py:13

(self, model_name, ckpt_path, height=None, width=None, guidance_scale=None, num_inference_steps=None, max_sequ

eval/TIIF-Bench/eval/inference_t2i_models.py:11

OCR reward calculator :param use_gpu: Whether to use GPU acceleration for PaddleOCR :param custom_model_dir: Custom directory

eval/TextPecker_eval/ocr.py:134

OCR reward calculator :param use_gpu: Whether to use GPU acceleration for PaddleOCR :param custom_model_dir: Custom directory

eval/TextPecker_eval/ocr.py:219

OCR reward calculator :param use_gpu: Whether to use GPU acceleration for PaddleOCR :param custom_model_dir: Custom directory

eval/TextPecker_eval/ocr.py:331

OCR reward calculator :param use_gpu: Whether to use GPU acceleration for PaddleOCR

eval/TextPecker_eval/ocr.py:424

( self, scheduler: FlowMatchEulerDiscreteScheduler, vae: AutoencoderKL,

eval/TextCrafter/TextCrafter_Flux/textcrafter_pipeline_flux.py:206

eval/TextCrafter/TextCrafter_Flux/utils.py:54

( self, prompts, num_steps: int, cross_replace_steps: Union[float, Tuple[f

eval/TextCrafter/TextCrafter_Flux/utils.py:113

( self, prompt, num_steps: int, cross_replace_steps: float

eval/TextCrafter/TextCrafter_Flux/utils.py:130

eval/TextCrafter/TextCrafter_Flux/utils.py:287

(self, dim, num_attention_heads, attention_head_dim, mlp_ratio=4.0)

eval/TextCrafter/TextCrafter_Flux/textcrafter_transformer_flux.py:59

( self, patch_size: int = 1, in_channels: int = 64, num_la

eval/TextCrafter/TextCrafter_Flux/textcrafter_transformer_flux.py:233

eval/TextCrafter/TextCrafter_Flux/pre_generation.py:58

Initialize evaluator

eval/TextCrafter/TextCrafter_Eval/unified_metrics_eval.py:30

( self, sample_size: int = 128, patch_size: int = 2, in_ch

eval/TextCrafter/TextCrafter_SD3/textcrafter_transformer_sd3.py:259

eval/TextCrafter/TextCrafter_SD3/utils.py:54

( self, prompts, num_steps: int, cross_replace_steps: Union[float, Tuple[f

eval/TextCrafter/TextCrafter_SD3/utils.py:113

( self, prompt, num_steps: int, cross_replace_steps: float

eval/TextCrafter/TextCrafter_SD3/utils.py:130

eval/TextCrafter/TextCrafter_SD3/utils.py:290

eval/TextCrafter/TextCrafter_SD3/pre_generation.py:55

( self, transformer: SD3Transformer2DModel, scheduler: FlowMatchEulerDiscreteSchedu

eval/TextCrafter/TextCrafter_SD3/textcrafter_pipeline_sd3.py:224

eval/X-Omni/textbench/evaluate_text_reward.py:28

(self, json_path, output_dir)

eval/models/SD3.5/infer_sd3_LeX.py:64

(self, jsonl_path, output_dir)

eval/models/SD3.5/infer_sd3_gentexteval.py:62

(self, data, output_dir=None)

eval/models/SD3.5/infer_sd3_oneig.py:62

(self, benchmark, area, output_dir)

eval/models/SD3.5/infer_sd3_CVTG2K.py:52

(self, json_path, output_dir)

eval/models/SD3.5/infer_sd3_TextAtlasEval.py:64

(self, jsonl_path, output_dir)

eval/models/SD3.5/infer_sd3_longtext.py:62

(self, json_path, output_dir)

eval/models/SD3.5/infer_sd3_TIIF.py:84

(self, json_path, output_dir)

eval/models/Qwenimage/infer_qwenimage_TextAtlasEval.py:162

(self, benchmark, area, output_dir)

eval/models/Qwenimage/infer_qwenimage_CVTG2K.py:175

(self, json_path, output_dir)

eval/models/Qwenimage/infer_qwenimage_TIIF.py:203

(self, data, output_dir=None)

eval/models/Qwenimage/infer_qwenimage_oneig.py:176

(self, jsonl_path, output_dir)

eval/models/Qwenimage/infer_qwenimage_gentexteval.py:176

(self, jsonl_path, output_dir)

eval/models/Qwenimage/infer_qwenimage_longtext.py:175

(self, json_path, output_dir)

eval/models/Qwenimage/infer_qwenimage_LeX.py:177

(self, json_path, output_dir)

eval/models/Flux/infer_flux_dev_TIIF.py:93

(self, jsonl_path, output_dir)

eval/models/Flux/infer_flux_dev_longtext.py:64

(self, json_path, output_dir)

eval/models/Flux/infer_flux_dev_LeX.py:52

(self, json_path, output_dir)

eval/models/Flux/infer_flux_dev_TextAtlasEval.py:52

(self, jsonl_path, output_dir)

eval/models/Flux/infer_flux_dev_gentexteval.py:52

(self, data, output_dir=None)

eval/models/Flux/infer_flux_dev_oneig.py:63

(self, benchmark, area, output_dir)

eval/models/Flux/infer_flux_dev_CVTG2K.py:64

( self, embedding_dim, projection_dim, dropout=0 )

eval/OneIG-Benchmark/scripts/utils/CSD_config.py:56

(self, model_path: str = "Qwen/Qwen2.5-VL-7B-Instruct", device: str = "cuda",

eval/OneIG-Benchmark/scripts/utils/inference.py:18

(self, model_path: str = "scripts/style/models/checkpoint.pth", device: str = "cuda")

eval/OneIG-Benchmark/scripts/utils/inference.py:98

(self, pretrained_path: str = "xingpng/OneIG-StyleEncoder", device: str = "cuda", dtype=torch.bfloat16)

eval/OneIG-Benchmark/scripts/utils/inference.py:130

(self, processor_model="openai/clip-vit-large-patch14-336", model_name="microsoft/LLM2CLIP-O

eval/OneIG-Benchmark/scripts/utils/inference.py:153

( self, model: AutoModel, tokenizer: AutoTokenizer, pooling_mode: str = "mean"

eval/OneIG-Benchmark/scripts/utils/llm2clip/llm2vec/llm2vec.py:36

(self, *args, **kwargs)

eval/OneIG-Benchmark/scripts/utils/llm2clip/llm2vec/models/bidirectional_llama.py:47

(self, *args, **kwargs)

eval/OneIG-Benchmark/scripts/utils/llm2clip/llm2vec/models/bidirectional_llama.py:53

(self, *args, **kwargs)

eval/OneIG-Benchmark/scripts/utils/llm2clip/llm2vec/models/bidirectional_llama.py:59

(self, config: LlamaConfig, layer_idx: int)

eval/OneIG-Benchmark/scripts/utils/llm2clip/llm2vec/models/bidirectional_llama.py:72

eval/OneIG-Benchmark/scripts/utils/llm2clip/llm2vec/models/bidirectional_llama.py:208

(self, dataset, split='train')

RL/flow_grpo/scripts/train_bagel.py:54

(self, dataset, split='train')

RL/flow_grpo/scripts/train_bagel.py:75

(self, dataset, batch_size, k, num_replicas, rank, seed=0)

RL/flow_grpo/scripts/train_bagel.py:94

(self, dataset, split='train')

RL/flow_grpo/scripts/train_sd3_fast_guard.py:43

(self, dataset, split='train')

RL/flow_grpo/scripts/train_sd3_fast_guard.py:80

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