V2.0.0 - Seedance api
This commit is contained in:
DESKTOP-TVBJISQ\Primere
@@ -38,6 +38,12 @@ class PrimereApiProcessor:
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API_SCHEMAS_RAW = utility.json2tuple(_schema_file if Path(_schema_file).is_file() else _schema_example)
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API_SCHEMA_REGISTRY = api_schema_registry.normalize_registry(API_SCHEMAS_RAW)
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SECTION_TITLES = [
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{"before": "processor", "name": "primere_api_proc", "title": "🧭 API Setup", "color": "#1B263B", "text_color": "#EAF1F8", "label": "Setup API processor, select related provider and service."},
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{"before": "auto_save_result", "name": "primere_save_api_result", "title": "💾 API result save", "color": "#1B263B", "text_color": "#EAF1F8", "label": "Save API results. Define main path, add subdirectory structure, add filename prefixes. Save related data to .txt or .json file."},
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{"after": "save_data_to_txt", "name": "primere_api_body", "title": "⚙ API body parameters", "color": "#1B263B", "text_color": "#EAF1F8", "label": "Set API body custom parameters."},
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]
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@classmethod
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def INPUT_TYPES(cls):
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cls.required_inputs = {
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+1365
-1060
File diff suppressed because one or more lines are too long
@@ -0,0 +1,23 @@
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from __future__ import annotations
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import json
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from . import response_helper
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def handle_response(api_result, schema=None):
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try:
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json_object = json.loads(json.dumps(api_result))
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except (ValueError, TypeError) as exc:
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raise RuntimeError(f"Invalid JSON response received: {api_result}") from exc
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video = json_object.get("video") if isinstance(json_object, dict) else None
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if not isinstance(video, dict):
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raise RuntimeError(f"No 'video' key in Seedance response: {json_object}")
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video_url = video.get("url")
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if not video_url:
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raise RuntimeError(f"No URL in Seedance video response: {video}")
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video_bytes = response_helper.fetch_url_bytes(video_url)
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return ["video_result", video_bytes]
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@@ -65,50 +65,6 @@
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}
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}
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},
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"VEO": {
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"provider": "Gemini",
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"service": "VEO",
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"reference_images_handler": "Gemini_VEO.py",
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"import_modules": [
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"from google import genai",
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"from google.genai import types"
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],
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"possible_parameters": {
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"model": ["veo-2.0-generate-001", "veo-3.1-fast-generate-preview", "veo-3.1-generate-preview"],
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"aspect_ratio": ["16:9", "16:10", "9:16", "10:16"],
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"duration_seconds": [4, 5, 6, 7, 8],
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"person_generation": ["allow_adult", "allow_all", "dont_allow"],
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"resolution": ["720p", "1080p", "4K"]
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},
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"request": {
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"method": "SDK",
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"endpoint": "client.models.generate_videos",
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"sdk_call": {
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"args": [],
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"kwargs": {
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"model": "{{model}}",
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"prompt": "{{prompt}}",
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"image": "{{first_image}}",
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"lastFrame": "{{last_image}}",
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"referenceImages": "{{reference_images}}",
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"video": "{{reference_video}}",
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"config": {
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"$call": "types.GenerateVideosConfig",
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"$args": [],
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"$kwargs": {
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"aspectRatio": "{{aspect_ratio}}",
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"number_of_videos": "{{batch}}",
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"resolution": "{{config_resolution}}",
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"durationSeconds": "{{duration_seconds}}",
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"personGeneration": "{{person_generation}}",
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"reference_images": "{{reference_images}}",
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"negative_prompt": "{{negative_prompt}}"
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}
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}
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}
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}
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}
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},
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"Imagen": {
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"provider": "Gemini",
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"service": "Imagen",
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@@ -149,134 +105,6 @@
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}
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}
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},
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"FAL": {
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"Seedream": {
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"provider": "FAL",
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"service": "Seedream",
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"response_handler": "FAL_Image.py",
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"import_modules": [
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"import fal_client"
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],
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"possible_parameters": {
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"enable_safety_checker": [false, true],
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"with_logs": [false, true],
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"enhance_prompt_mode": ["standard", "fast"],
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"model_type": ["text-to-image", "edit"],
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"version": ["v4.5", "v5/lite"]
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},
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"request_exclusions": [
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{
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"when": {"path": "model_type", "equals": "edit"},
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"remove": ["enhance_prompt_mode"]
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},
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{
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"when": {"path": "model_type", "equals": "text-to-image"},
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"remove": ["reference_images", "image_urls"]
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}
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],
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"request": {
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"method": "SDK",
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"endpoint": "fal_client.submit",
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"sdk_call": {
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"args": [
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"fal-ai/bytedance/seedream/{{version}}/{{model_type}}"
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],
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"kwargs": {
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"arguments": {
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"prompt": "{{prompt}}",
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"image_urls": "{{reference_images}}",
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"image_size": {
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"width": "{{width}}",
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"height": "{{height}}"
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},
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"num_images": "{{batch}}",
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"max_images": 1,
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"enable_safety_checker": "{{enable_safety_checker}}",
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"enhance_prompt_mode": "{{enhance_prompt_mode}}",
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"seed": "{{seed}}",
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"with_logs": "{{with_logs}}"
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}
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}
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}
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}
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},
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"Kling": {
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"provider": "FAL",
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"service": "Kling",
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"response_handler": "FAL_Kling.py",
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"reference_images_handler": "FAL_Kling.py",
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"import_modules": [
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"import fal_client"
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],
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"possible_parameters": {
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"aspect_ratio": ["16:9", "9:16", "1:1"],
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"duration": [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15],
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"generate_audio": [false, true],
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"with_logs": [false, true],
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"model_type": ["text-to-video", "image-to-video"],
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"version": ["v3/pro", "v3/standard", "o3/pro", "o3/standard"],
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"cfg_scale": "FLOAT"
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},
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"request_exclusions": [
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{
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"when": {"path": "version", "equals": "v3/pro"},
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"remove": ["image_url"]
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},
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{
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"when": {"path": "version", "equals": "v3/standard"},
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"remove": ["image_url"]
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},
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{
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"when": {"path": "version", "equals": "o3/standard"},
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"remove": ["negative_prompt", "cfg_scale", "start_image_url", "elements", "aspect_ratio"]
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},
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{
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"when": {"path": "version", "equals": "o3/pro"},
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"remove": ["negative_prompt", "cfg_scale", "start_image_url", "elements", "aspect_ratio"]
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},
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{
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"when": {"path": "model_type", "equals": "text-to-video"},
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"remove": ["multi_prompt", "start_image_url", "image_url", "elements"]
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}
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],
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"parameter_constraints": {
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"cfg_scale": {"max": 1.0}
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},
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"request": {
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"method": "SDK",
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"endpoint": "fal_client.subscribe",
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"sdk_call": {
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"args": [
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"fal-ai/kling-video/{{version}}/{{model_type}}"
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],
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"kwargs": {
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"arguments": {
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"prompt": "{{prompt}}",
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"negative_prompt": "{{negative_prompt}}",
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"multi_prompt": "{{multi_prompt}}",
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"cfg_scale": "{{cfg_scale}}",
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"start_image_url": "{{first_image}}",
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"image_url": "{{first_image}}",
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"end_image_url": "{{last_image}}",
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"elements": [
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{
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"reference_image_urls": "{{reference_images}}",
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"frontal_image_url": "{{frontal_image}}"
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},
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{
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"video_url": "{{reference_video}}"
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}
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],
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"duration": "{{duration}}",
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"aspect_ratio": "{{aspect_ratio}}",
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"generate_audio": "{{generate_audio}}",
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"with_logs": "{{with_logs}}"
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}
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}
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}
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}
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}
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},
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"BlackForest": {
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"Flux": {
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"provider": "BlackForest",
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@@ -2,7 +2,7 @@ import { app } from "/scripts/app.js";
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// Add node names here to enable backend-driven title separators on those nodes.
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const TITLE_MANAGED_NODES = [
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"PrimereRasterix", "PrimereModelControl", "PrimereMetaSave", "PrimereRasterixLens", "PrimereMetaHandler", "PrimereCLIPEncoder"
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"PrimereRasterix", "PrimereModelControl", "PrimereMetaSave", "PrimereRasterixLens", "PrimereMetaHandler", "PrimereCLIPEncoder", "PrimereApiProcessor"
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];
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const titleConfigCache = {};
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@@ -1,57 +1,53 @@
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{
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"Gemini": {
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"Nanobanana_2": {
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"provider": "Gemini",
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"service": "Nanobanana_2",
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"response_handler": "Gemini_Nanobanana_2.py",
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"reference_images_handler": "Gemini.py",
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"FAL": {
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"Seedance": {
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"provider": "FAL",
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"service": "Seedance",
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"response_handler": "FAL_Seedance.py",
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"reference_images_handler": "FAL.py",
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"import_modules": [
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"import your_provider_sdk",
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"from your_provider_sdk import types"
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],
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"possible_parameters": {
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"aspect_ratio": [
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"fake_aspect_ratio_value_1",
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"fake_aspect_ratio_value_2"
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"audio_urls": [
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"fake_audio_urls_value_1",
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"fake_audio_urls_value_2"
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],
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"resolution": [
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"1K",
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"2K",
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"4K"
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"reference_image": [
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"fake_reference_image_value_1",
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"fake_reference_image_value_2"
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],
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"aspect_ratio": ["auto", "21:9", "16:9", "4:3", "1:1", "3:4", "9:16"],
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"duration": ["auto", 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15],
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"resolution": ["480p", "720p"],
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"video_urls": [
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"fake_video_urls_value_1",
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"fake_video_urls_value_2"
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],
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"with_logs": [
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"fake_with_logs_value_1",
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"fake_with_logs_value_2"
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]
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},
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"request": {
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"method": "SDK",
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"endpoint": "client.models.generate_content",
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"endpoint": "fal_client.subscribe",
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"sdk_call": {
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"args": [],
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"args": [
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"bytedance/seedance-2.0/fast/reference-to-video"
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],
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"kwargs": {
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"model": "gemini-3.1-flash-image-preview",
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"contents": "{{prompt}}",
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"config": {
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"$call": "types.GenerateContentConfig",
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"$args": [],
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"$kwargs": {
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"response_modalities": [
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"IMAGE"
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],
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"image_config": {
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"$call": "types.ImageConfig",
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"$args": [],
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"$kwargs": {
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"aspect_ratio": "{{aspect_ratio}}",
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"image_size": "{{resolution}}"
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}
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},
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"thinking_config": {
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"$call": "types.ThinkingConfig",
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"$args": [],
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"$kwargs": {
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"thinking_level": "High",
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"include_thoughts": true
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}
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}
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}
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"arguments": {
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"prompt": "{{prompt}}",
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"image_urls": "{{reference_image}}",
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"video_urls": "{{video_urls}}",
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"audio_urls": "{{audio_urls}}",
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"resolution": "{{resolution}}",
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"seed": "{{seed}}",
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"duration": "{{duration}}",
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"aspect_ratio": "{{aspect_ratio}}",
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"with_logs": "{{with_logs}}"
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}
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}
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}
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+12
-14
@@ -1,15 +1,13 @@
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response = client.models.generate_content(
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model="gemini-3.1-flash-image-preview",
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contents=prompt,
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config=types.GenerateContentConfig(
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response_modalities=['IMAGE'],
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image_config=types.ImageConfig(
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aspect_ratio=aspect_ratio,
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image_size=resolution
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),
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thinking_config=types.ThinkingConfig(
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thinking_level="High",
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include_thoughts=True
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),
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)
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result = fal_client.subscribe("bytedance/seedance-2.0/fast/reference-to-video",
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arguments={
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"prompt": prompt,
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"image_urls": reference_image,
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"video_urls": video_urls,
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"audio_urls": audio_urls,
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"resolution": resolution,
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"seed": seed,
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"duration": "auto",
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"aspect_ratio": "auto",
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"with_logs": with_logs
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}
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)
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