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[Bugfix] Handle numpy array outputs in diffusion chat endpoint #1660

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[Bugfix] Handle numpy array outputs in diffusion chat endpoint #1660

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7 changes: 5 additions & 2 deletions vllm_omni/entrypoints/openai/serving_chat.py
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Original file line number Diff line number Diff line change
Expand Up @@ -9,6 +9,7 @@
from typing import TYPE_CHECKING, Any, Final, Optional, cast

import jinja2
import numpy as np
import torch
from fastapi import Request
from PIL import Image
Expand Down Expand Up @@ -1829,8 +1830,6 @@ def _create_image_choice(
if isinstance(image_data, Image.Image):
images.append(image_data)
elif hasattr(image_data, "cpu"): # Tensor
import numpy as np

# Convert tensor to PIL Image
img_array = image_data.float().detach().cpu().numpy()
# Handle different tensor formats (CHW -> HWC)
Expand All @@ -1857,6 +1856,8 @@ def _create_image_choice(
image_contents = []
for img in images:
with BytesIO() as buffer:
if isinstance(img, np.ndarray):
img = Image.fromarray(img)
img.save(buffer, format="PNG")
img_bytes = buffer.getvalue()
img_base64 = base64.b64encode(img_bytes).decode("utf-8")
Expand Down Expand Up @@ -2089,6 +2090,8 @@ async def _create_diffusion_chat_completion(
image_contents: list[dict[str, Any]] = []
for img in images:
with BytesIO() as buffer:
if isinstance(img, np.ndarray):
img = Image.fromarray(img)
img.save(buffer, format="PNG")
img_bytes = buffer.getvalue()
img_base64 = base64.b64encode(img_bytes).decode("utf-8")
Expand Down