AIモデルを探す

[Core Function] Seedance 2.0 T2V is ByteDance Dreamina Seedance 2.0 text-to-video. [Strengths] Supports 480p/720p/1080p/4k, 24 fps, 4-15s MP4 output. Text-only input — do not pass images, video, or audio. [Routing] Use for high-fidelity text-to-video when quality or 4k output is requested.

[Core Function] Qwen Image 3.0 Pro is Alibaba's latest text-to-image model with strong prompt following and photorealism. [Strengths] It supports free-form output size (width*height), optional negative prompts, intelligent prompt rewrite, batch generation of 1-6 images, and long structured prompts for complex layouts. [Best For] Highly recommended for: photorealistic stills, marketing posters with readable text, detailed scene compositions, multi-panel layouts, product hero shots, and multi-variant creative exploration (n up to 6). [Limitations] Do NOT use this if the user needs native 4K output, thinking-mode reasoning, or image editing with reference images (use Qwen Image 3.0 Pro Edit for edits). Keep total pixels within 512*512 to 2048*2048. Very long prompts combined with a long negative_prompt may exceed the model input capacity (about 4.5k tokens total). [Routing] Prefer this over Qwen Image 2.0 Pro for new Qwen Image text-to-image work. If the user provides reference image(s) to edit, route to Qwen Image 3.0 Pro Edit instead.

[Core Function] Kling V3 T2I is the flagship text-to-image model (POST /images/generations, model_name=kling-v3). [Strengths] High aesthetic quality, prompt adherence, 1K/2K. [Best For] Concept art and photorealistic generation without a reference image. [Limitations] No reference image; for I2I use kling-v3-i2i; for multi-image/series use kling-v3-omni-image. [Routing] Default for Kling text-to-image.

[Core Function] Kling V3 T2V is the next-generation text-to-video base model. [Strengths] It natively supports generating ultra-long 15-second videos, 4K resolution, and synchronized native audio directly from text. [Best For] Highly recommended for: high-end cinematic creation, 4K video generation, and creating long-form scenes with integrated sound. [Limitations] Do NOT use this model if you need complex multi-shot narratives or deep physics reasoning; use V3 Omni or Video O1 respectively. [Routing] Use this model by default for high-quality text-to-video tasks that require up to 15 seconds, 4K resolution, or native audio without reference images.

[Core Function] Qwen-Audio 3.0 TTS Plus is Alibaba's high-quality Qwen-Audio text-to-speech model on the same SpeechSynthesizer endpoint family as CosyVoice. [Strengths] Natural speech synthesis with voice, format, sample-rate, prosody, SSML, instruction, language_hint, and AIGC watermark controls; system voices include longanlingxin and longanlufeng (see the Qwen-Audio-TTS voice list). [Best For] Premium narration, brand voiceovers, multilingual product audio, and quality-sensitive batch TTS when Qwen-Audio voices are preferred. [Limitations] Do NOT mix Flash-only voices (e.g. longanhuan_v3.6) with Plus. [Routing] Choose Plus when speech quality is the priority. Choose qwen-audio-3.0-tts-flash when lower latency matters more.

[Core Function] Grok Imagine Image (Quality) is xAI's high-fidelity text-to-image generation model. [Strengths] It excels at producing richly detailed, high-quality images from a text prompt, with flexible aspect ratios and an optional 2K resolution. [Best For] Highly recommended for: detailed concept art, marketing visuals, and any scenario where image quality is prioritized over generation speed. [Limitations] Do NOT use this model when latency is critical, as generation is slower than the standard model. [Routing] Use this model by default when the user emphasizes quality or detail. For faster, lighter generation use Grok Imagine Image (standard).

[Core Function] Grok Imagine Video is xAI's text-to-video generation model. [Strengths] It excels at generating short, dynamic video clips directly from a text prompt, with controllable duration, aspect ratio, and resolution. [Best For] Highly recommended for: short social clips, animated concepts, and dynamic scene generation from a description. [Limitations] Do NOT use this model when you have a starting image or reference subjects, or when you need resolutions above 720p or clips longer than 15 seconds; it is limited to 480p/720p and 15s. [Routing] Use this model when the user wants a video from text only. If a starting image is provided, route to the Image-to-Video model; for reference-driven character video, use Reference-to-Video.

[Core Function] Hailuo 2.3 T2V is a flagship text-to-video generation model optimized for human performance and stylization. [Strengths] It excels at capturing intricate human motion, nuanced facial micro-expressions, prompt adherence, and applying highly stylized aesthetics (e.g., anime, ink wash, game CG) to video. [Best For] Highly recommended for: character-driven storytelling, close-up emotional shots, stylized artistic videos, and dialogue scenes. [Limitations] Do NOT use this model if you need native 1080p resolution for 10 full seconds (1080p is capped at 6 seconds; generating 10s forces 768p resolution). [Routing] Use this model by default for text-to-video requests involving humans, faces, or specific art styles. If the user requires strict physical realism/world dynamics or native 1080p for 10 seconds, route to Hailuo 02 T2V instead.

[Core Function] MiniMax H3 V2V generates video guided by one or more reference videos plus a text prompt. [Strengths] It accepts up to 3 reference videos with optional reference images and audios, 4-15 second duration, 768P or 2K output, and optional aspect ratio defaulting to 16:9. [Best For] Highly recommended for: motion remix, style transfer from video clips, keeping subject motion while changing the scene description, and multi-clip reference guidance. [Limitations] Do NOT use this model for text-only generation or first or last frame transitions. prompt, duration, resolution, and reference_videos are required. Do NOT send first_frame_image or last_frame_image on this endpoint. [Routing] Choose MiniMax H3 V2V when the user provides reference videos. For reference stills only, use MiniMax H3 I2V. For start or end frames, use MiniMax H3 FL2V. For text only, use MiniMax H3 T2V.

[Core Function] MiniMax H3 I2V generates video from reference images plus a text prompt. [Strengths] It accepts up to 9 reference images and optional reference audios, with 4-15 second duration, 768P or 2K output, and optional aspect ratio defaulting to 16:9. [Best For] Highly recommended for: character or style consistency from stills, product look references, multi-image subject guidance, and prompt-driven scenes featuring a referenced subject. [Limitations] Do NOT use this model for first or last frame transitions or when the primary input is a reference video. prompt, duration, resolution, and reference_images are required. Do NOT send first_frame_image, last_frame_image, or reference_videos on this endpoint. [Routing] Choose MiniMax H3 I2V when the user provides reference stills. For start or end frames, use MiniMax H3 FL2V. For reference videos, use MiniMax H3 V2V. For text only, use MiniMax H3 T2V.

[Core Function] MiniMax H3 FL2V generates video guided by a first frame, a last frame, or both. [Strengths] It supports first-only, last-only, and first-plus-last conditioning with 4-15 second duration and 768P or 2K output. Output framing follows the input frame imagery. [Best For] Highly recommended for: start-frame animation, end-frame targeting, before-and-after transitions, and storyboard frame bridging. [Limitations] Do NOT use this model for pure text-to-video, reference-image subject remix, or reference-video remix. Provide prompt, duration, resolution, and at least one of first_frame_image or last_frame_image. Do NOT send reference_images, reference_videos, or reference_audios on this endpoint. [Routing] Choose MiniMax H3 FL2V when the user supplies a start and/or end frame. For reference images without frame roles, use MiniMax H3 I2V. For reference videos, use MiniMax H3 V2V. For text only, use MiniMax H3 T2V.

[Core Function] MiniMax H3 T2V is a text-to-video generation model that creates video from a text prompt only. [Strengths] It supports 4-15 second clips, 768P or 2K output, and concrete aspect ratios from cinematic ultrawide to vertical. [Best For] Highly recommended for: prompt-only storyboards, character-driven shorts, cinematic B-roll from text, and high-resolution drafts without image inputs. [Limitations] Do NOT use this model if you need to condition on images, first or last frames, or reference videos. prompt, duration, resolution, and ratio are required; ratio must be one of the documented aspect ratios. [Routing] Choose MiniMax H3 T2V for text-only MiniMax H3 video. If the user provides a start or end frame, use MiniMax H3 FL2V. If they provide reference images, use MiniMax H3 I2V. If they provide reference videos, use MiniMax H3 V2V.

[Core Function] Seedance 2.5 V2V is ByteDance Dreamina Seedance 2.5 video-to-video generation covering multimodal reference, video editing, and video extension. [Strengths] It accepts up to 10 reference videos, 30 reference images, and 10 audio clips, with 4-30 second output and mp4 or mov containers. [Best For] Highly recommended for: editing existing clips, extending motion from a base video, multi-reference restyling, and prompt-driven composition that cites Video n or Image n. [Limitations] Do NOT use this model for text-only or first-frame-only workflows. video_urls is required. Do NOT send first_frame_image or last_frame_image. Do NOT use this model when the user requires 1080p or 4k output. Do NOT use this model for audio-only input. [Routing] Prefer this model for Seedance 2.5 edit, extension, and video-reference jobs. Use Seedance 2.5 T2V for text-only and Seedance 2.5 I2V for image-first generation.

[Core Function] Seedance 2.5 I2V is ByteDance Dreamina Seedance 2.5 image-to-video generation supporting first-frame, first-and-last-frame, and reference-image modes. [Strengths] It supports up to 30 reference images, optional reference audio, 4-30 second duration, and mp4 or mov output. [Best For] Highly recommended for: animating a keyframe, first-to-last transitions, multi-image character consistency, and image-led storytelling on Seedance 2.5. [Limitations] Do NOT mix first_frame_image or last_frame_image with reference_images. Do NOT send video_urls on I2V. Do NOT use audio_urls alone. Do NOT use this model when the user requires 1080p or 4k output. [Routing] Prefer this model for Seedance 2.5 image-driven generation. Use Seedance 2.5 T2V for text-only requests and Seedance 2.5 V2V when reference video is required.

[Core Function] Seedance 2.5 T2V is ByteDance Dreamina Seedance 2.5 text-to-video generation. [Strengths] It generates longer clips up to 30 seconds at 480p/720p with optional mp4 or mov output and native audio generation. [Best For] Highly recommended for: longer-form text-to-video storytelling, social clips beyond 15 seconds, and Seedance workflows that need mov output. [Limitations] Do NOT use this model if the user provides images, video, or audio as inputs. Do NOT use this model when the user requires 1080p or 4k output. [Routing] Prefer Seedance 2.5 T2V when the user needs more than 15 seconds of text-to-video. Use Seedance 2.0 T2V when 1080p or 4k is required. Use Seedance 2.5 I2V or V2V when media inputs are provided.

[Core Function] Wan 3.0 V2V is Alibaba Wan 3.0 reference-video generation that builds new video from one or more input videos. [Strengths] It supports up to 5 reference videos with optional reference images and audio for multimodal composition and prompt-referenced subjects. [Best For] Highly recommended for: video-to-video transformation, multi-subject scenes that cite video1/image1 in the prompt, and extending creative edits from existing clips. [Limitations] Do NOT use this model for text-only, file/link, or first-frame-only workflows. video_urls is required. [Routing] Prefer this model when the user supplies reference video. Use Wan 3.0 T2V for prompt/file/link and Wan 3.0 I2V for image-first generation.