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convert image to tensor.

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This commit is contained in:
Robin Huang 2025-04-22 02:48:34 -07:00
parent e90100e1a5
commit 1fa9ced75f
1 changed files with 16 additions and 12 deletions
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26
comfy_api_nodes/nodes_api.py
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@ -248,6 +248,7 @@ class OpenAITextToImage(ComfyNodeABC):
import numpy as np import numpy as np
import torch import torch
from PIL import Image from PIL import Image
import requests
# build the operation # build the operation
operation = SynchronousOperation( operation = SynchronousOperation(
@ -276,20 +277,23 @@ class OpenAITextToImage(ComfyNodeABC):
raise Exception("No images returned from OpenAI endpoint") raise Exception("No images returned from OpenAI endpoint")
# Get base64 image data # Get base64 image data
b64_data = data[0].b64_json image_url = data[0].url
if not b64_data: if not image_url:
raise Exception("No image data in OpenAI response") raise Exception("No image URL was generated in the response")
img_response = requests.get(image_url)
if img_response.status_code != 200:
raise Exception("Failed to download the image")
# decode base64 to image img = Image.open(io.BytesIO(img_response.content))
import base64 img = img.convert("RGB") # Ensure RGB format
img_data = base64.b64decode(b64_data)
img = Image.open(io.BytesIO(img_data)).convert("RGB")
# Convert to tensor # Convert to numpy array, normalize to float32 between 0 and 1
arr = np.array(img).astype(np.float32) / 255.0 img_array = np.array(img).astype(np.float32) / 255.0
tensor = torch.from_numpy(arr)[None, ...] # add batch dimension
return (tensor,) # Convert to torch tensor and add batch dimension
img_tensor = torch.from_numpy(img_array)[None,]
return (img_tensor,)
# A dictionary that contains all nodes you want to export with their names # A dictionary that contains all nodes you want to export with their names
# NOTE: names should be globally unique # NOTE: names should be globally unique