98 lines
3.7 KiB
Python
98 lines
3.7 KiB
Python
# https://github.com/Fannovel16/ComfyUI-Frame-Interpolation/blob/main/vfi_utils.py
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import os
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import torch
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import typing
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import einops
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from comfy.model_management import soft_empty_cache, get_torch_device
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import numpy as np
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from comfy.utils import ProgressBar
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from colored import Fore, Back, Style
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from .utilities import rife_logger
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from tqdm import tqdm
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DEVICE = get_torch_device()
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def load_file_from_github_release(model_type, ckpt_name):
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error_strs = []
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for i, base_model_download_url in enumerate(BASE_MODEL_DOWNLOAD_URLS):
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try:
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return load_file_from_url(base_model_download_url + ckpt_name, get_ckpt_container_path(model_type))
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except Exception:
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traceback_str = traceback.format_exc()
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if i < len(BASE_MODEL_DOWNLOAD_URLS) - 1:
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print("Failed! Trying another endpoint.")
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error_strs.append(f"Error when downloading from: {base_model_download_url + ckpt_name}\n\n{traceback_str}")
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error_str = '\n\n'.join(error_strs)
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raise Exception(f"Tried all GitHub base urls to download {ckpt_name} but no suceess. Below is the error log:\n\n{error_str}")
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def preprocess_frames(frames):
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return einops.rearrange(frames[..., :3], "n h w c -> n c h w")
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def postprocess_frames(frames):
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return einops.rearrange(frames, "n c h w -> n h w c")[..., :3].cpu()
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def generate_frames_rife(
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frames,
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clear_cache_after_n_frames,
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multiplier,
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return_middle_frame_function
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):
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output_frames = torch.zeros(multiplier*frames.shape[0], *frames.shape[1:], device="cpu")
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out_len = 0
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number_of_frames_processed_since_last_cleared_cuda_cache = 0
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pbar = ProgressBar(len(frames)-1)
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bar_format = "[\033[94mComfyUI-Rife-Tensorrt\033[0m|\033[92mINFO\033[0m] - \033[92m{desc}: {percentage:3.0f}%|{bar}| {n_fmt}/{total_fmt} [{elapsed}<{remaining}]"
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progress_bar = tqdm(
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total=len(frames)-1,
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desc="Interpolating",
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bar_format=bar_format,
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disable=((len(frames)-1) == 1)
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)
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for frame_itr in range(len(frames) - 1): # Skip the final frame since there are no frames after it
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frame_0 = frames[frame_itr:frame_itr+1]
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frame_1 = frames[frame_itr+1:frame_itr+2]
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output_frames[out_len] = frame_0 # Start with first frame
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out_len += 1
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for middle_i in range(1, multiplier):
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timestep = middle_i/multiplier
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middle_frame = return_middle_frame_function(frame_0, frame_1, timestep).detach().cpu()
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# Copy middle frames to output
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output_frames[out_len] = middle_frame
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out_len +=1
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# Try to avoid a memory overflow by clearing cuda cache regularly
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number_of_frames_processed_since_last_cleared_cuda_cache += 1
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if number_of_frames_processed_since_last_cleared_cuda_cache >= clear_cache_after_n_frames:
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soft_empty_cache()
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number_of_frames_processed_since_last_cleared_cuda_cache = 0
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rife_logger.info("Clearing cache...")
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pbar.update(1)
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progress_bar.update(1)
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progress_bar.refresh()
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progress_bar.close()
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# Append final frame
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output_frames[out_len] = frames[-1:]
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# Get actual frame shape from first interpolated frame (CHW format)
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actual_frame = output_frames[0]
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h, w = actual_frame.shape[1], actual_frame.shape[2]
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rife_logger.info(f"done! - {out_len} total frames output at resolution: {h}x{w}")
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out_len += 1
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# clear cache for courtesy
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soft_empty_cache()
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rife_logger.info("Final clearing cache done ...")
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#
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res = output_frames[:out_len]
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return res |