feat:增加gpt-image-2-all模型

This commit is contained in:
董昭洋
2026-04-22 11:44:29 +08:00
parent 704e9bad82
commit 4fcd955ea3
+13 -7
View File
@@ -338,6 +338,9 @@ class VectorEngineGPT(VectorEngineBase):
def INPUT_TYPES(cls):
return {
"required": {
"model": (["gpt-image-1.5", "gpt-image-2-all"], {
"default": "gpt-image-1.5"
}),
"prompt": ("STRING", {
"multiline": True,
"default": "A beautiful landscape with mountains and a lake."
@@ -365,17 +368,20 @@ class VectorEngineGPT(VectorEngineBase):
FUNCTION = "generate_image"
CATEGORY = "VectorEngine"
def generate_image(self, prompt, size, seed,
def generate_image(self, model, prompt, size, seed,
image_1=None, image_2=None, image_3=None, image_4=None, image_5=None):
"""
Generate or edit image using GPT API via Vector Engine
"""
model = "gpt-image-1.5"
# Collect input images
images = [image_1, image_2, image_3, image_4, image_5]
input_images = [img for img in images if img is not None]
# gpt-image-2-all only supports generation, not editing
if model == "gpt-image-2-all" and len(input_images) > 0:
print(f"[VectorEngine GPT] Warning: {model} does not support image editing, input images will be ignored")
input_images = []
try:
conn = http.client.HTTPSConnection("api.vectorengine.ai")
@@ -383,10 +389,10 @@ class VectorEngineGPT(VectorEngineBase):
total_encode_time = 0.0
# Determine endpoint based on whether images are provided
if image_count > 0:
# Use /v1/images/edits with multipart/form-data
if image_count > 0 and model == "gpt-image-1.5":
# Use /v1/images/edits with multipart/form-data (only for gpt-image-1.5)
endpoint = "/v1/images/edits"
print(f"[VectorEngine GPT] Edit mode - Size: {size}, Images: {image_count}")
print(f"[VectorEngine GPT] Edit mode - Model: {model}, Size: {size}, Images: {image_count}")
boundary = 'wL36Yn8afVp8Ag7AmP8qZ0SA4n1v9T'
dataList = []
@@ -428,7 +434,7 @@ class VectorEngineGPT(VectorEngineBase):
else:
# Use /v1/images/generations with JSON
endpoint = "/v1/images/generations"
print(f"[VectorEngine GPT] Generation mode - Size: {size}")
print(f"[VectorEngine GPT] Generation mode - Model: {model}, Size: {size}")
payload = json.dumps({
"model": model,