pixverse/video-restyle

属性

• プロバイダー: pixverse
• カテゴリー: 動画から動画

コレクション

• AI Style Transfer
• AI Anime Generator

パラメーター

料金

入力画像（$/img）: 0.0000
入力動画（$/sec）: 0.0000

単位: $/sec

関連モデル

• bytedance/seedream-5.0-lite-edit: [Core Function] Seedream 5.0 Lite Edit is a reasoning-enhanced, smart image editing model. [Strengths] It features superior cross-modal understanding and reasoning, allowing for highly accurate, interactive multi-turn image editing with real-time knowledge enhancement. [Best For] Highly recommended for: complex image editing tasks, structural modifications, and edits requiring deep semantic understanding. [Limitations] As a ‘Lite’ model, raw visual rendering might not match the 4.5 tier. [Routing] Use this model by default for complex, reasoning-based image editing tasks.
• kling/kling-v3-i2i: [Core Function] Kling V3 I2I is the flagship image-to-image editing model (POST /images/generations, model_name=kling-v3 with image). [Strengths] High-quality style transfer and editing up to 2K. [Best For] Single-reference image editing. [Limitations] Do NOT send negative_prompt when image is present (officially unsupported). No image_fidelity / image_reference on V3. For multi-image fusion or series, use kling-v3-omni-image. [Routing] Default for standard image-to-image.
• alibaba/wan2.7-image-pro-edit: [Core Function] Wan 2.7 Image Pro Edit is Alibaba’s flagship reasoning-enhanced image editing model. [Strengths] It supports interactive editing, character-consistent multi-image generation, and complex multi-reference modifications with deep reasoning. [Best For] Highly recommended for: professional image retouching, consistent character sheets, and complex structural edits. [Limitations] Do NOT use this model if you specifically need to use negative prompts to exclude elements during editing (use Qwen Image 2.0 Pro Edit instead). [Routing] Use this by default for high-end image editing and multi-reference consistent character generation.
• google/nano-banana-2-edit: [Core Function] Nano Banana 2 Edit is a high-speed image editing model. [Strengths] It rapidly modifies existing images or extracts image frames from videos based on text prompts. [Best For] Highly recommended for: rapid style transfer, quick image modifications, and fast creative edits. [Limitations] Do NOT use this model for meticulous photorealistic retouching. [Routing] Use this model by default for fast, creative image editing tasks. For Nano Banana 2.1 editing, use google/nano-banana-2.1-edit.
• xai/grok-imagine-image-edit: [Core Function] Grok Imagine Image Edit is xAI’s standard image editing model. [Strengths] It excels at quickly applying prompt-guided edits and style changes to one or more source images. [Best For] Highly recommended for: fast restyling, quick variations, and lightweight image edits. [Limitations] Do NOT use this model when maximum edit fidelity is required; the Quality variant preserves more detail. A maximum of 3 source images is supported. [Routing] Choose this model for fast edits. When the user demands maximum fidelity, route to Grok Imagine Image Edit (Quality).
• xai/grok-imagine-image-quality-edit: [Core Function] Grok Imagine Image Edit (Quality) is xAI’s high-fidelity image editing model. [Strengths] It excels at applying detailed, prompt-guided edits and style transformations to one or more source images while preserving fine detail. [Best For] Highly recommended for: high-quality restyling, detailed inpainting-style edits, and combining up to 3 source images. [Limitations] Do NOT use this model ID for new work. Starting November 2, 2026, requests to xai/grok-imagine-image-quality-edit still succeed and Modellix forwards them to xai/grok-imagine-image-2.0-edit. This model ID may be shut down later. Call xai/grok-imagine-image-2.0-edit directly. [Routing] Call xai/grok-imagine-image-2.0-edit unless the user explicitly names xai/grok-imagine-image-quality-edit.
• xai/grok-imagine-video-edit: [Core Function] Grok Imagine Video Edit applies a prompt-guided transformation to an input video. [Strengths] It excels at restyling and modifying an existing video while keeping its original duration and aspect ratio. [Best For] Highly recommended for: restyling clips, applying visual effects, and prompt-driven video edits. [Limitations] Do NOT use this model to change the duration, aspect ratio, or resolution; the output preserves the input video’s duration and aspect ratio, and those parameters are not configurable. Input video constraints (e.g. format/length) are enforced by the upstream provider. [Routing] Use this model when the user provides a video and wants it edited/restyled. To make a video longer, use Video Extend.
• bytedance/seedream-5.0-pro-edit: [Core Function] Seedream 5.0 Pro Edit is a professional-grade single-image editing (I2I) model. [Strengths] It supports interactive precise editing: edit locations can be specified via coordinates, selection boxes, or arrows described in the prompt, with strong element-level control and subject consistency. [Best For] Highly recommended for: precise local retouching, adding/removing/replacing objects at exact positions, style transfer of a single photo, and professional post-editing workflows. [Limitations] Do NOT use this model for text-to-image generation (an input image is required) or for blending multiple reference images; it accepts exactly one input image and outputs exactly one image (no batch or streaming). [Routing] For 2-10 reference images use Seedream 5.0 Pro Multi-Reference; for pure text-to-image use Seedream 5.0 Pro; choose Seedream 5.0 Lite Edit when batch outputs or more than 10 input images are required.
• bytedance/seedream-5.0-pro-multi-reference: [Core Function] Seedream 5.0 Pro Multi-Reference is a professional-grade multi-reference image generation (I2I) model that creates a single image from 2-10 reference images plus a text prompt. [Strengths] It excels at reference consistency, preserving characters, styles, and objects across multiple input images while following complex blending instructions with professional-grade quality. [Best For] Highly recommended for: keeping character or style consistency across references, combining subjects from different images into one scene, placing products into reference scenes, and IP-consistent content creation. [Limitations] Do NOT use this model with fewer than 2 or more than 10 reference images, and do NOT use it for batch generation or streaming; it outputs exactly one image per request. [Routing] For single-image editing use Seedream 5.0 Pro Edit; for text-only generation use Seedream 5.0 Pro; choose Seedream 5.0 Lite Edit when up to 14 reference images or batch outputs are needed.
• alibaba/qwen-image-3.0-pro-edit: [Core Function] Qwen Image 3.0 Pro Edit is an image-to-image editing model for instruction-based edits and multi-image fusion. [Strengths] It accepts 1-3 reference images plus an edit instruction, optional negative prompts, free-form output size (widthheight), intelligent prompt rewrite, 1-6 outputs while preserving subject identity, and long structured edit instructions. [Best For] Highly recommended for: background replacement, outfit or style changes, multi-image fusion, identity-preserving portrait edits, and iterative creative retouching. [Limitations] Do NOT use this for pure text-to-image with no reference images (use Qwen Image 3.0 Pro instead), native 4K output, or thinking-mode reasoning. Keep output total pixels within 512512 to 2048*2048; input images should follow supported formats and size guidance. Do NOT combine very long prompts with multiple reference images and a long negative_prompt if the request may exceed the model input capacity (about 4.5k tokens total across text and images). [Routing] Route here when the user provides reference image(s) and wants Qwen 3.0 edit quality. For text-only generation without images, use Qwen Image 3.0 Pro.
• microsoft/mai-image-2.6-edit: [Core Function] MAI Image 2.6 Edit is Microsoft’s latest prompt-guided image editing model in the MAI Image family. [Strengths] It applies targeted edits to a single source image with the same quality gains as MAI Image 2.6 generation. [Best For] Highly recommended for: object edits, layout changes, text cleanup, and iterative photorealistic retouching. [Limitations] Do NOT use this if the caller provides more than one source image, a data URI, or a URL that is not publicly reachable over HTTP or HTTPS. It accepts exactly one JPEG or PNG image URL, and output is always PNG. auto_aspect_ratio and web_grounding are optional booleans; omit them unless the caller sets them. [Routing] Use this model when the latest MAI edit quality is required. For faster or lower-cost edits, route to MAI Image 2.6 Flash Edit.
• microsoft/mai-image-2.6-flash-edit: [Core Function] MAI Image 2.6 Flash Edit is the faster, lower-cost variant of MAI Image 2.6 image editing. [Strengths] It applies prompt-guided edits to a single source image with lower latency than MAI Image 2.6 Edit. [Best For] Highly recommended for: high-throughput edit APIs and production retouching pipelines. [Limitations] Do NOT use this if the caller provides more than one source image, a data URI, or a URL that is not publicly reachable over HTTP or HTTPS. It accepts exactly one JPEG or PNG image URL, and output is always PNG. auto_aspect_ratio and web_grounding are optional booleans; omit them unless the caller sets them. [Routing] Use this model when edit speed or cost matters more than maximum 2.6 quality. For the highest fidelity, route to MAI Image 2.6 Edit.
• openai/gpt-image-2.5-flare-edit: [Core Function] GPT Image 2.5 Flare Edit is a speed-oriented image editing model. [Strengths] Supports up to 16 input images, optional mask-based local edits, resolution tiers up to 4K, and transparent backgrounds. [Best For] Product image changes, masked object replacements, and edits guided by multiple reference images. [Limitations] Do NOT use this for editing more than 16 input images or selecting arbitrary pixel dimensions. Exact input fidelity control is not exposed. [Routing] Choose this variant when speed is the priority; use GPT Image 2.5 Sunburst Edit when image quality is the priority.
• openai/gpt-image-2.5-sunburst-edit: [Core Function] GPT Image 2.5 Sunburst Edit is a quality-oriented image editing model. [Strengths] Supports up to 16 input images, optional mask-based local edits, resolution tiers up to 4K, and transparent backgrounds. [Best For] Product image changes, masked object replacements, and edits guided by multiple reference images. [Limitations] Do NOT use this for editing more than 16 input images or selecting arbitrary pixel dimensions. Exact input fidelity control is not exposed. [Routing] Choose this variant when image quality is the priority; use GPT Image 2.5 Flare Edit when speed is the priority.
• google/nano-banana-2.1-edit: [Core Function] Nano Banana 2.1 Edit is Google’s fast image-editing and video-to-image model, exposed as google/nano-banana-2.1-edit. [Strengths] It edits up to 14 reference images, or one HTTPS video plus up to 10 images, at 1K, 2K, or 4K, with improved character and multi-reference consistency. thinkingLevel defaults to medium. Optional systemInstruction is omitted when blank. enableWebSearch turns on Google Search grounding (web and image search) only when true. [Best For] Prompted restyling, multi-image product and character edits, and turning a video into a still. [Limitations] Do NOT use this model for text-only generation, 512-pixel output, or audio generation. At least one of image or video is required. seed, temperature, topP, topK, and logprobs are rejected. [Routing] Use this endpoint when the user provides images or a video and wants Nano Banana 2.1. Use google/nano-banana-2-edit for the previous Gemini 3.1 Flash Image editor, including 512 output. Use google/nano-banana-2.1 when there is no visual input. Use google/nano-banana-pro-edit for the highest-fidelity still edits that do not need video input.
• google/nano-banana-2: [Core Function] Nano Banana 2 (Gemini 3.1 Flash Image) is an extremely fast text-to-image model. [Strengths] It is optimized for high-speed, high-volume visual generation, creative prompting, and rapid stylistic experimentation. [Best For] Highly recommended for: rapid creative iteration, generating large batches of images quickly, and artistic/stylized graphics. [Limitations] Do NOT use this model if you require strict, high-end photorealism; prefer Nano Banana Pro for higher-fidelity creative output. [Routing] Route to this model for ‘fast’, ‘creative’, or ‘stylized’ high-volume requests. For Nano Banana 2.1, use google/nano-banana-2.1.
• google/nano-banana-pro: [Core Function] Nano Banana Pro (Gemini 3 Pro Image) is a high-capability creative image model. [Strengths] It balances the creative flexibility and speed of the Nano series with higher fidelity output. [Best For] Highly recommended for: high-quality stylized art and complex creative compositions. [Limitations] Do NOT use this model when you need the absolute highest photorealism or detail; step up within the Nano Banana family (Nano Banana 2 or Nano Banana Pro Edit workflows) as needed. [Routing] Use this model for high-quality, creative, non-photorealistic requests.
• kling/kling-v3-t2i: [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.
• vidu/viduq3-pro-t2v: [Core Function] Vidu Q3 Pro T2V is a premium cinematic text-to-video generation model. [Strengths] It excels at generating top-tier, realistic videos from text with support for advanced multi-shot ‘smart cuts’, complex physics, and simultaneous audio-visual generation. [Best For] Highly recommended for: cinematic storytelling, professional advertising, short films, and high-fidelity concept visualizations. [Limitations] Do NOT use this model if the user is looking for an instant, low-latency preview, as generation takes longer. It does not support automatic BGM addition. [Routing] Use this model by default for high-quality text-to-video requests. If the user specifically asks for ‘fast’ or ‘quick’ generation, switch to the Q3 Turbo T2V model.
• vidu/viduq3-turbo-t2v: [Core Function] Vidu Q3 Turbo T2V is a fast text-to-video generation model. [Strengths] It excels at rapidly generating smooth, dynamic videos from text descriptions with very low latency. [Best For] Highly recommended for: fast prototyping, quick visual brainstorming, generating background b-roll, and scenarios where generation speed is prioritized. [Limitations] Do NOT use this model if you need ultimate cinematic quality, complex audio-visual synchronization, or multi-shot ‘smart cuts’. It does not support automatic BGM addition. [Routing] Choose this ‘Turbo’ model when the user emphasizes ‘quick’, ‘fast’, or needs immediate results. If the user demands the highest cinematic quality or advanced audio-visual features, choose the Q3 Pro T2V model instead.
• vidu/viduq3-r2v: [Core Function] Vidu Q3 R2V is a high-quality reference-to-video generation model. [Strengths] It excels at generating detailed, cinematic videos that precisely follow a text prompt while highly preserving the character identity from provided reference images. [Best For] Highly recommended for: professional character-driven storytelling, high-fidelity avatar generation in new scenes, and cinematic films requiring consistent actors. [Limitations] Do NOT use this model if you just want to add motion to an existing image (use I2V). This model creates new scenes based on the prompt while keeping the character. [Routing] Use this by default when the user wants to generate a video of a specific character (provided via image) doing something new (provided via text prompt).
• minimax/hailuo-2.3-i2v: [Core Function] Hailuo 2.3 I2V is a flagship image-to-video generation model optimized for character animation. [Strengths] It excels at animating human characters from a single image, maintaining consistent facial features, producing natural micro-expressions, and handling stylized artwork seamlessly. [Best For] Highly recommended for: animating character concept art, bringing portraits to life, and creating stylized/anime motion sequences. [Limitations] Do NOT use this model for last-frame conditioning (it does not support FL2V). Do NOT use if you need 1080p resolution for 10 seconds (1080p is capped at 6s). [Routing] Use this model by default for high-quality image-to-video tasks involving people or art. For physical realism or 10s at 1080p, route to Hailuo 02 I2V. For cost-effective/faster generation, route to Hailuo 2.3 Fast I2V.
• minimax/hailuo-2.3-t2v: [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.