Teknium
d4cec15b47
Behavior-neutral structural pass over tools/*: god-file extractions into sibling modules (file_operations_common/lint/search, file_tools_paths/ read_tracking/write, code_execution_env/rpc, tool_search_catalog/names/ validation, tts_command_provider, ...), duplicate helper unification, if/elif -> dispatch tables, dead-code removal, docstring compaction. Tool schemas (get_tool_definitions) verified byte-identical to base.
568 lines
22 KiB
Python
568 lines
22 KiB
Python
"""FAL image model catalog + upscaler constants for ``tools.image_generation_tool``.
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Each entry declares how to translate the unified inputs (prompt + aspect_ratio)
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into the model's native payload. ``size_style`` picks the family:
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``"image_size_preset"`` (FAL preset enum), ``"aspect_ratio"`` (ratio enum),
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``"gpt_literal"`` (literal "WxH" strings). ``supports`` / ``edit_supports`` are
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whitelists — keys outside them are stripped so models never receive rejected
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parameters. ``upscale`` (Clarity Upscaler chained after generation) is False
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everywhere: Clarity redraws content (creativity 0.35) and degraded text/CJK/
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faces when default-on, so upscaling is strictly per-call opt-in.
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Pricing strings are as-of-commit and allowed to drift.
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"""
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from typing import Any, Dict
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_PRESET_SIZES = {
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"landscape": "landscape_16_9",
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"square": "square_hd",
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"portrait": "portrait_16_9",
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}
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_ASPECT_SIZES = {"landscape": "16:9", "square": "1:1", "portrait": "9:16"}
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FAL_MODELS: Dict[str, Dict[str, Any]] = {
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"fal-ai/flux-2/klein/9b": {
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"display": "FLUX 2 Klein 9B",
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"speed": "<1s",
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"strengths": "Fast, crisp text",
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"price": "$0.006/MP",
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"size_style": "image_size_preset",
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"sizes": _PRESET_SIZES,
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"defaults": {
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"num_inference_steps": 4,
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"output_format": "png",
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"enable_safety_checker": False,
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},
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"supports": {
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"prompt", "image_size", "num_inference_steps", "seed",
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"output_format", "enable_safety_checker",
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},
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"upscale": False,
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# Image-to-image / editing: FLUX.2 [klein] 9B edit endpoint takes
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# `image_urls` (list). Natural-language edits, multi-ref.
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"edit_endpoint": "fal-ai/flux-2/klein/9b/edit",
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"edit_supports": {
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"prompt", "image_urls", "num_inference_steps", "seed",
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"output_format", "enable_safety_checker",
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},
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"max_reference_images": 9,
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},
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"fal-ai/flux-2-pro": {
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"display": "FLUX 2 Pro",
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"speed": "~6s",
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"strengths": "Studio photorealism",
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"price": "$0.03/MP",
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"size_style": "image_size_preset",
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"sizes": _PRESET_SIZES,
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"defaults": {
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"num_inference_steps": 50,
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"guidance_scale": 4.5,
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"num_images": 1,
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"output_format": "png",
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"enable_safety_checker": False,
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"safety_tolerance": "5",
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"sync_mode": True,
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},
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"supports": {
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"prompt", "image_size", "num_inference_steps", "guidance_scale",
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"num_images", "output_format", "enable_safety_checker",
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"safety_tolerance", "sync_mode", "seed",
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},
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"upscale": False,
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# Edit endpoint accepts up to 9 reference images.
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"edit_endpoint": "fal-ai/flux-2-pro/edit",
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"edit_supports": {
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"prompt", "image_urls", "num_inference_steps", "guidance_scale",
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"num_images", "output_format", "enable_safety_checker",
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"safety_tolerance", "sync_mode", "seed",
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},
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"max_reference_images": 9,
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},
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"fal-ai/z-image/turbo": {
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"display": "Z-Image Turbo",
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"speed": "~2s",
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"strengths": "Bilingual EN/CN, 6B",
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"price": "$0.005/MP",
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"size_style": "image_size_preset",
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"sizes": _PRESET_SIZES,
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"defaults": {
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"num_inference_steps": 8,
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"num_images": 1,
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"output_format": "png",
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"enable_safety_checker": False,
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"enable_prompt_expansion": False, # avoid the extra per-request charge
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},
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"supports": {
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"prompt", "image_size", "num_inference_steps", "num_images",
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"seed", "output_format", "enable_safety_checker",
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"enable_prompt_expansion",
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},
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"upscale": False,
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},
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"fal-ai/nano-banana-pro": {
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"display": "Nano Banana Pro (Gemini 3 Pro Image)",
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"speed": "~8s",
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"strengths": "Gemini 3 Pro, reasoning depth, text rendering",
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"price": "$0.15/image (1K)",
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"size_style": "aspect_ratio",
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"sizes": _ASPECT_SIZES,
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"defaults": {
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"num_images": 1,
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"output_format": "png",
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"safety_tolerance": "5",
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# "1K" is the cheapest tier; 4K doubles the per-image cost.
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# Users on Nous Subscription should stay at 1K for predictable billing.
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"resolution": "1K",
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},
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"supports": {
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"prompt", "aspect_ratio", "num_images", "output_format",
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"safety_tolerance", "seed", "sync_mode", "resolution",
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"enable_web_search", "limit_generations",
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},
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"upscale": False,
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# Nano Banana Pro edit (Gemini 3 Pro Image): natural-language edits
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# with up to 2 reference images via `image_urls`.
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"edit_endpoint": "fal-ai/nano-banana-pro/edit",
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"edit_supports": {
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"prompt", "image_urls", "aspect_ratio", "num_images",
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"output_format", "safety_tolerance", "seed", "sync_mode",
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"resolution", "enable_web_search", "limit_generations",
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},
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"max_reference_images": 2,
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},
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"fal-ai/nano-banana-2": {
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"display": "Nano Banana 2 (Gemini 3.1 Flash Image)",
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"speed": "~3s",
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"strengths": "Fast reasoning, multilingual text, infographics",
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"price": "Lower-cost Flash tier",
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"size_style": "aspect_ratio",
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"sizes": _ASPECT_SIZES,
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"defaults": {
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"num_images": 1,
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"output_format": "png",
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"safety_tolerance": "4",
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"resolution": "1K",
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"limit_generations": True,
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},
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"supports": {
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"prompt", "aspect_ratio", "num_images", "output_format",
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"safety_tolerance", "seed", "sync_mode", "system_prompt",
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"resolution", "enable_web_search", "limit_generations",
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"thinking_level",
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},
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"upscale": False,
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"edit_endpoint": "fal-ai/nano-banana-2/edit",
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"edit_supports": {
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"prompt", "image_urls", "aspect_ratio", "num_images",
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"output_format", "safety_tolerance", "seed", "sync_mode",
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"system_prompt", "resolution", "enable_web_search",
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"limit_generations", "thinking_level",
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},
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"max_reference_images": 14,
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},
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"fal-ai/gpt-image-1.5": {
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"display": "GPT Image 1.5",
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"speed": "~15s",
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"strengths": "Prompt adherence",
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"price": "$0.034/image",
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"size_style": "gpt_literal",
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"sizes": {
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"landscape": "1536x1024",
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"square": "1024x1024",
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"portrait": "1024x1536",
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},
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"defaults": {
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# Quality is pinned to medium to keep portal billing predictable
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# across all users (low is too rough, high is 4-6x more expensive).
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"quality": "medium",
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"num_images": 1,
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"output_format": "png",
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},
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"supports": {
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"prompt", "image_size", "quality", "num_images", "output_format",
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"background", "sync_mode",
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},
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"upscale": False,
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# Edit endpoint: high-fidelity edits preserving composition/lighting.
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"edit_endpoint": "fal-ai/gpt-image-1.5/edit",
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"edit_supports": {
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"prompt", "image_urls", "image_size", "quality", "num_images",
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"output_format", "sync_mode",
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},
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"max_reference_images": 16,
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},
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"fal-ai/gpt-image-2": {
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"display": "GPT Image 2",
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"speed": "~20s",
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"strengths": "SOTA text rendering + CJK, world-aware photorealism",
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"price": "$0.04–0.06/image",
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# GPT Image 2 uses FAL's standard preset enum (unlike 1.5's literal
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# dimensions). We map to the 4:3 variants — the 16:9 presets
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# (1024x576) fall below GPT-Image-2's 655,360 min-pixel requirement
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# and would be rejected. 4:3 keeps us above the minimum on all
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# three aspect ratios.
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"size_style": "image_size_preset",
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"sizes": {
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"landscape": "landscape_4_3", # 1024x768
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"square": "square_hd", # 1024x1024
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"portrait": "portrait_4_3", # 768x1024
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},
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"defaults": {
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# Same quality pinning as gpt-image-1.5: medium keeps Nous
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# Portal billing predictable. "high" is 3-4x the per-image
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# cost at the same size; "low" is too rough for production use.
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"quality": "medium",
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"num_images": 1,
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"output_format": "png",
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},
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"supports": {
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"prompt", "image_size", "quality", "num_images", "output_format",
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"sync_mode",
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# openai_api_key (BYOK) intentionally omitted — all users go
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# through the shared FAL billing path.
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},
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"upscale": False,
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# GPT Image 2 edit endpoint lives under the OpenAI namespace on FAL
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# (NOT fal-ai/). Takes `image_urls` (list) + optional mask. We don't
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# send `image_size` on edit so the model auto-infers from input.
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"edit_endpoint": "openai/gpt-image-2/edit",
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"edit_supports": {
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"prompt", "image_urls", "quality", "num_images", "output_format",
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"sync_mode", "mask_image_url",
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},
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"max_reference_images": 16,
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},
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"fal-ai/ideogram/v3": {
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"display": "Ideogram V3",
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"speed": "~5s",
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"strengths": "Best typography",
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"price": "$0.03-0.09/image",
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"size_style": "image_size_preset",
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"sizes": _PRESET_SIZES,
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"defaults": {
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"rendering_speed": "BALANCED",
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"expand_prompt": True,
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"style": "AUTO",
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},
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"supports": {
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"prompt", "image_size", "rendering_speed", "expand_prompt",
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"style", "seed",
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},
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"upscale": False,
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# Ideogram V3 edit endpoint takes `image_urls` (list).
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"edit_endpoint": "fal-ai/ideogram/v3/edit",
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"edit_supports": {
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"prompt", "image_urls", "rendering_speed", "expand_prompt",
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"style", "seed",
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},
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"max_reference_images": 1,
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},
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"fal-ai/recraft/v4/pro/text-to-image": {
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"display": "Recraft V4 Pro",
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"speed": "~8s",
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"strengths": "Design, brand systems, production-ready",
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"price": "$0.25/image",
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"size_style": "image_size_preset",
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"sizes": _PRESET_SIZES,
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"defaults": {
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# V4 Pro dropped V3's required `style` enum — defaults handle taste now.
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"enable_safety_checker": False,
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},
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"supports": {
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"prompt", "image_size", "enable_safety_checker",
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"colors", "background_color",
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},
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"upscale": False,
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},
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"fal-ai/qwen-image": {
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"display": "Qwen Image",
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"speed": "~12s",
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"strengths": "LLM-based, complex text",
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"price": "$0.02/MP",
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"size_style": "image_size_preset",
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"sizes": _PRESET_SIZES,
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"defaults": {
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"num_inference_steps": 30,
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"guidance_scale": 2.5,
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"num_images": 1,
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"output_format": "png",
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"acceleration": "regular",
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},
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"supports": {
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"prompt", "image_size", "num_inference_steps", "guidance_scale",
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"num_images", "output_format", "acceleration", "seed", "sync_mode",
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},
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"upscale": False,
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# Qwen edit uses the Qwen Image 2.0 Pro editing endpoint, which takes
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# `image_urls` (list) + natural-language edit instructions.
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"edit_endpoint": "fal-ai/qwen-image-2/pro/edit",
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"edit_supports": {
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"prompt", "image_urls", "num_inference_steps", "guidance_scale",
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"num_images", "output_format", "acceleration", "seed", "sync_mode",
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},
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"max_reference_images": 3,
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},
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# Krea 2 on FAL — same model family as ``plugins/image_gen/krea``, but billed
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# through FAL / the FAL managed gateway. Native ``krea-2-*`` ids route to the
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# dedicated Krea plugin instead.
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"fal-ai/krea/v2/medium/text-to-image": {
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"display": "Krea 2 Medium",
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"speed": "~15-25s",
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"strengths": "Illustration, anime, painting, expressive/artistic styles",
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"price": "$0.030 (text) / $0.035 (style refs)",
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"size_style": "aspect_ratio",
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"sizes": _ASPECT_SIZES,
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"defaults": {
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"creativity": "medium",
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},
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"supports": {
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"prompt", "aspect_ratio", "creativity", "seed",
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"image_style_references",
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},
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"upscale": False,
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},
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"fal-ai/krea/v2/large/text-to-image": {
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"display": "Krea 2 Large",
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"speed": "~25-60s",
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"strengths": "Photorealism, raw textured looks (motion blur, grain, film)",
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"price": "$0.060 (text) / $0.065 (style refs)",
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"size_style": "aspect_ratio",
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"sizes": _ASPECT_SIZES,
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"defaults": {
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"creativity": "medium",
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},
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"supports": {
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"prompt", "aspect_ratio", "creativity", "seed",
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"image_style_references",
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},
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"upscale": False,
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},
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# ─── Aug 2026 catalog expansion ────────────────────────────────────────
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# Endpoint ids, `supports` whitelists and enum defaults below are taken
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# from each model's FAL OpenAPI schema, so a key we send is a key the
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# vendor declares. Paired `/edit` apps hang off their text-to-image entry
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# rather than appearing as separate picker rows.
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"bytedance/seedream/v5/pro/text-to-image": {
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"display": "Seedream 5.0 Pro",
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"speed": "~10s",
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"strengths": "ByteDance flagship, dense layouts, native text in 14 languages",
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"price": "$0.0675/image (≤1536²)",
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"size_style": "image_size_preset",
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# Pro requires total pixels between 1024x1024 and 2048x2048 —
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# explicit ImageSize dicts keep every aspect inside that window.
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"sizes": {
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"landscape": {"width": 2048, "height": 1152},
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"square": {"width": 1536, "height": 1536},
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"portrait": {"width": 1152, "height": 2048},
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},
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"defaults": {
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"num_images": 1,
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"output_format": "png",
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"enable_safety_checker": False,
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},
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"supports": {
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"prompt", "image_size", "num_images", "output_format",
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"sync_mode", "enable_safety_checker",
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},
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"upscale": False,
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# Region-precise editing with up to 10 reference images.
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"edit_endpoint": "bytedance/seedream/v5/pro/edit",
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"edit_supports": {
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"prompt", "image_urls", "image_size", "num_images",
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"output_format", "sync_mode", "enable_safety_checker",
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},
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"max_reference_images": 10,
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},
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"bytedance/seedream/v5/lite/text-to-image": {
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"display": "Seedream 5.0 Lite",
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"speed": "~5s",
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"strengths": "Fast/cheap Seedream tier, high-res output",
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"price": "$0.035/image",
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"size_style": "image_size_preset",
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# Lite wants total pixels between 2560x1440 and 4096x4096. Use the
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# documented presets (FAL auto-scales if a preset is under the floor)
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# instead of hand-rolled ImageSize dicts that drift from the schema.
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"sizes": _PRESET_SIZES,
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"defaults": {
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"num_images": 1,
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"enable_safety_checker": False,
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},
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"supports": {
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"prompt", "image_size", "num_images", "max_images",
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"sync_mode", "enable_safety_checker",
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},
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"upscale": False,
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},
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"ideogram/v4/instant": {
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"display": "Ideogram V4 (Instant)",
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"speed": "<1s",
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"strengths": "Latest Ideogram typography, posters/logos, instant",
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"price": "$0.0075/MP",
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"size_style": "image_size_preset",
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"sizes": _PRESET_SIZES,
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"defaults": {
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"expansion_model": "Medium",
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"output_format": "png",
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"enable_safety_checker": False,
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},
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"supports": {
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"prompt", "image_size", "expansion_model", "num_images",
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"seed", "sync_mode", "enable_safety_checker", "output_format",
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},
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"upscale": False,
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},
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"ideogram/v4/fast": {
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"display": "Ideogram V4 (Fast)",
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"speed": "~1s",
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"strengths": "Ideogram V4 quality tiers via rendering_speed",
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"price": "$0.005-0.018/MP",
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"size_style": "image_size_preset",
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"sizes": _PRESET_SIZES,
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"defaults": {
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"expansion_model": "Medium",
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"rendering_speed": "BALANCED",
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},
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"supports": {
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"prompt", "image_size", "expansion_model", "rendering_speed",
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"num_images", "seed", "sync_mode",
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},
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"upscale": False,
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},
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"alibaba/qwen-image-3/text-to-image": {
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"display": "Qwen Image 3",
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"speed": "~8s",
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"strengths": "Complex CN/EN text rendering, prompt-guided resolution",
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"price": "$0.04 (1K) / $0.075 (2K) per image",
|
||
"size_style": "image_size_preset",
|
||
"sizes": _PRESET_SIZES,
|
||
"defaults": {
|
||
"num_images": 1,
|
||
"output_format": "png",
|
||
"enable_prompt_expansion": False, # avoid the LLM rewrite surprise
|
||
"enable_safety_checker": False,
|
||
},
|
||
"supports": {
|
||
"prompt", "negative_prompt", "image_size", "num_images",
|
||
"seed", "sync_mode", "output_format",
|
||
"enable_prompt_expansion", "enable_safety_checker",
|
||
},
|
||
"upscale": False,
|
||
# Qwen Image 3 edit: 1-3 reference images, identity-preserving edits.
|
||
"edit_endpoint": "alibaba/qwen-image-3/edit",
|
||
"edit_supports": {
|
||
"prompt", "image_urls", "negative_prompt", "num_images",
|
||
"seed", "sync_mode", "output_format",
|
||
"enable_prompt_expansion", "enable_safety_checker",
|
||
},
|
||
"max_reference_images": 3,
|
||
},
|
||
"microsoft/mai-image-2.5-pro": {
|
||
"display": "MAI Image 2.5 Pro",
|
||
"speed": "~10s",
|
||
"strengths": "Microsoft flagship, hero imagery, precise typography",
|
||
"price": "~$0.17/image",
|
||
"size_style": "aspect_ratio",
|
||
"sizes": _ASPECT_SIZES,
|
||
"defaults": {
|
||
"num_images": 1,
|
||
"output_format": "png",
|
||
},
|
||
"supports": {
|
||
"prompt", "aspect_ratio", "num_images", "output_format",
|
||
"sync_mode",
|
||
},
|
||
"upscale": False,
|
||
},
|
||
"google/nano-banana-2-lite": {
|
||
"display": "Nano Banana 2 Lite",
|
||
"speed": "<2s",
|
||
"strengths": "Gemini image family, sub-2s, 14 aspect ratios incl. extreme",
|
||
"price": "~$0.04/image (1K fixed)",
|
||
"size_style": "aspect_ratio",
|
||
"sizes": _ASPECT_SIZES,
|
||
"defaults": {
|
||
"num_images": 1,
|
||
"output_format": "png",
|
||
"safety_tolerance": "5",
|
||
},
|
||
"supports": {
|
||
"prompt", "aspect_ratio", "num_images", "seed",
|
||
"output_format", "safety_tolerance", "sync_mode",
|
||
"system_prompt", "limit_generations", "thinking_level",
|
||
},
|
||
"upscale": False,
|
||
# Fast multi-turn local edits with reference images via `image_urls`.
|
||
"edit_endpoint": "google/nano-banana-2-lite/edit",
|
||
"edit_supports": {
|
||
"prompt", "image_urls", "aspect_ratio", "num_images",
|
||
"seed", "output_format", "safety_tolerance", "sync_mode",
|
||
"system_prompt",
|
||
},
|
||
"max_reference_images": 4,
|
||
},
|
||
"fal-ai/recraft/v4.1/text-to-image": {
|
||
"display": "Recraft V4.1",
|
||
"speed": "~8s",
|
||
"strengths": "Design-first raster, brand systems, editorial",
|
||
"price": "$0.035/image",
|
||
"size_style": "image_size_preset",
|
||
"sizes": _PRESET_SIZES,
|
||
"defaults": {
|
||
"enable_safety_checker": False,
|
||
},
|
||
"supports": {
|
||
"prompt", "image_size", "enable_safety_checker",
|
||
"colors", "background_color",
|
||
},
|
||
"upscale": False,
|
||
},
|
||
"xai/grok-imagine-image/v2.0/text-to-image": {
|
||
"display": "Grok Imagine Image 2.0",
|
||
"speed": "~5s",
|
||
"strengths": "xAI. Design-grade typography/layout, instruction following",
|
||
"price": "$0.06/image (1K medium)",
|
||
"size_style": "aspect_ratio",
|
||
"sizes": _ASPECT_SIZES,
|
||
"defaults": {
|
||
"num_images": 1,
|
||
"output_format": "png",
|
||
# 1k + medium is the cheapest sensible tier ($0.06/image);
|
||
# 2k roughly +33% per image.
|
||
"resolution": "1k",
|
||
"quality": "medium",
|
||
},
|
||
"supports": {
|
||
"prompt", "aspect_ratio", "num_images", "output_format",
|
||
"resolution", "quality", "sync_mode",
|
||
},
|
||
"upscale": False,
|
||
# Edit endpoint takes `image_urls` (max 3) + the same knobs;
|
||
# aspect_ratio defaults to "auto" (follows the first input image),
|
||
# so we don't send it on edits.
|
||
"edit_endpoint": "xai/grok-imagine-image/v2.0/edit",
|
||
"edit_supports": {
|
||
"prompt", "image_urls", "num_images", "output_format",
|
||
"resolution", "quality", "sync_mode",
|
||
},
|
||
"max_reference_images": 3,
|
||
},
|
||
}
|
||
|
||
|
||
# Fastest reasonable option; cheap and sub-1s.
|
||
DEFAULT_MODEL = "fal-ai/flux-2/klein/9b"
|
||
|
||
DEFAULT_ASPECT_RATIO = "landscape"
|
||
VALID_ASPECT_RATIOS = ("landscape", "square", "portrait")
|
||
|
||
# Clarity Upscaler settings.
|
||
UPSCALER_MODEL = "fal-ai/clarity-upscaler"
|
||
UPSCALER_FACTOR = 2
|
||
UPSCALER_SAFETY_CHECKER = False
|
||
UPSCALER_DEFAULT_PROMPT = "masterpiece, best quality, highres"
|
||
UPSCALER_NEGATIVE_PROMPT = "(worst quality, low quality, normal quality:2)"
|
||
UPSCALER_CREATIVITY = 0.35
|
||
UPSCALER_RESEMBLANCE = 0.6
|
||
UPSCALER_GUIDANCE_SCALE = 4
|
||
UPSCALER_NUM_INFERENCE_STEPS = 18
|