[diffusion] refactor: deprecate workloadtype (#15267)

Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>

python/sglang/multimodal_gen/utils.py

@@ -21,12 +21,8 @@ from functools import lru_cache, partial, wraps
 from typing import Any, TypeVar, cast
 
 import cloudpickle
-import imageio
-import numpy as np
 import torch
-import torchvision
 import yaml
-from einops import rearrange
 from remote_pdb import RemotePdb
 from torch.distributed.fsdp import MixedPrecisionPolicy
 
@@ -788,21 +784,6 @@ def best_output_size(w, h, dw, dh, expected_area):
         return ow2, oh2
 
 
-def save_decoded_latents_as_video(
-    decoded_latents: list[torch.Tensor], output_path: str, fps: int
-):
-    # Process outputs
-    videos = rearrange(decoded_latents, "b c t h w -> t b c h w")
-    frames = []
-    for x in videos:
-        x = torchvision.utils.make_grid(x, nrow=6)
-        x = x.transpose(0, 1).transpose(1, 2).squeeze(-1)
-        frames.append((x * 255).numpy().astype(np.uint8))
-
-    os.makedirs(os.path.dirname(output_path), exist_ok=True)
-    imageio.mimsave(output_path, frames, fps=fps, format="mp4")
-
-
 def calculate_dimensions(target_area, ratio):
     width = math.sqrt(target_area * ratio)
     height = width / ratio