Method__call__(self, rendered_frames, scale=1.0, batch_size=4, num_iter=1, **kwargs)
diffsynth/extensions/RIFE/__init__.py:220
Method__call__(self, text, max_length=320, padding="max_length", truncation=True, return_tensors="pt")
diffsynth/models/stepvideo_text_encoder.py:199
Method__init__(self, module: torch.nn.Linear, offload_dtype, offload_device, onload_dtype, onload_device, computation_dtype,
diffsynth/vram_management/layers.py:42
Method__init__(self, processor_id: Processor_id, model_path="models/Annotators", detect_resolution=None, device='cuda', skip
diffsynth/controlnets/processors.py:9
Method__init__(self, dataset_path, steps_per_epoch=10000, height=1024, width=1024, center_crop=True, random_flip=False)
diffsynth/data/simple_text_image.py:9
Method__init__(self, video_file=None, image_folder=None, height=None, width=None, **kwargs)
diffsynth/data/video.py:82
Method__init__(self, vocab_file, padding_side="left", clean_up_tokenization_spaces=False, encode_special_tokens=False,
diffsynth/prompters/kolors_prompter.py:98
Method__init__(self, num_train_timesteps=1000, beta_start=0.00085, beta_end=0.012, beta_schedule="scaled_linear", prediction
diffsynth/schedulers/ddim.py:6
Method__init__(self, num_inference_steps=100, num_train_timesteps=1000, shift=3.0, sigma_max=1.0, sigma_min=0.003/1.002, inv
diffsynth/schedulers/flow_match.py:7
Method__init__(
self, height, width, channel, minimum_patch_size,
threads_per_block=8, num_iter=5, gpu_id=0,
diffsynth/extensions/FastBlend/patch_match.py:8
Method__init__(
self, image_height, image_width, channel, minimum_patch_size,
threads_per_block=8, num_iter=
diffsynth/extensions/FastBlend/patch_match.py:206