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Feature: Add OpenAI video models and improve error handling

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- Added OpenAI Sora 3.0 and 3.1 models to video inference (openai:3@0, openai:3@1)
- Added OpenAI architecture to video model search dropdown
- Improved video inference error handling to properly display API error messages
- Replaced hardcoded seed support with flexible useSeed parameter in video inference
- Added selectable output format (WEBP, PNG, JPEG, SVG) to image inference UI
- Updated parameter order: useSeed, seed for better UX consistency
- Removed SEED_SUPPORTED_MODELS hardcoded list for better flexibility
This commit is contained in:
Sirshendu Ganguly
2025-10-09 22:17:12 -04:00
parent 3153eb5fad
commit 5f575aabda
3 changed files with 37 additions and 14 deletions
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modules/videoInference.py
+21 -7
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@@ -144,10 +144,14 @@ class txt2vid:
"default": "mp4",
"tooltip": "Choose the output video format.",
}),
"useSeed": ("BOOLEAN", {
"tooltip": "Enable to include seed parameter in API request. Disable if your model doesn't support seed.",
"default": True,
}),
"seed": ("INT", {
"tooltip": "A value used to randomize the video generation. If you want to make videos reproducible (generate the same video multiple times), you can use the same seed value. Leave empty or 0 to auto-generate. Note: Only supported by Wan models.",
"default": 0,
"min": 0,
"tooltip": "A value used to randomize the video generation. If you want to make videos reproducible (generate the same video multiple times), you can use the same seed value. Leave empty or 0 to auto-generate.",
"default": 1,
"min": 1,
"max": 9223372036854776000,
}),
"batchSize": ("INT", {
@@ -208,6 +212,7 @@ class txt2vid:
outputFormat = kwargs.get("outputFormat", "mp4")
batchSize = kwargs.get("batchSize", 1)
seed = kwargs.get("seed", 1)
useSeed = kwargs.get("useSeed", True)
# Handle model input - could be dict or string
if isinstance(runwareVideoModel, dict):
@@ -247,9 +252,9 @@ class txt2vid:
# Add duration parameter - unified for all models
genConfig[0]["duration"] = duration
# Add seed parameter only for supported models
# Add seed parameter only if enabled
if model in videoModelSearch.SEED_SUPPORTED_MODELS:
if useSeed:
genConfig[0]["seed"] = seed
if (negativePrompt is not None and negativePrompt != ""):
@@ -341,11 +346,20 @@ class txt2vid:
# Extract more detailed error info if available
if "responseContent" in error_info:
response_content = error_info["responseContent"]
detailed_message = response_content.get("message", "")
# Handle both string and dict response content
if isinstance(response_content, str):
detailed_message = response_content
elif isinstance(response_content, dict):
detailed_message = response_content.get("message", str(response_content))
else:
detailed_message = str(response_content)
if detailed_message:
error_message = f"{error_message}\nProvider Error: {detailed_message}"
raise Exception(f"Video generation failed: {error_message}")
# Include taskUUID for debugging
task_uuid = error_info.get("taskUUID", "unknown")
raise Exception(f"Video generation failed (Task: {task_uuid}): {error_message}")
if pollResult and "data" in pollResult and len(pollResult["data"]) > 0:
video_data = pollResult["data"][0]