> ## Documentation Index > Fetch the complete documentation index at: https://fal.ai/docs/llms.txt > Use this file to discover all available pages before exploring further. # Bytedance Seedream V4.5 API > API reference for Bytedance Seedream V4.5. A new-generation image creation model ByteDance, Seedream 4.5 integrates image generation and image editing capabilities into a single, unified architecture. **Endpoint:** `POST https://fal.run/fal-ai/bytedance/seedream/v4.5/edit` **Endpoint ID:** `fal-ai/bytedance/seedream/v4.5/edit` Run this model interactively with your own prompts. ### Quick Start ```python title="Python" theme={null} import fal_client def on_queue_update(update): if isinstance(update, fal_client.InProgress): for log in update.logs: print(log["message"]) result = fal_client.subscribe( "fal-ai/bytedance/seedream/v4.5/edit", arguments={ "prompt": "Replace the product in Figure 1 with that in Figure 2. For the title copy the text in Figure 3 to the top of the screen, the title should have a clear contrast with the background but not be overly eye-catching.", "image_urls": [ "https://storage.googleapis.com/falserverless/example_inputs/seedreamv45/seedream_v45_edit_input_1.png", "https://storage.googleapis.com/falserverless/example_inputs/seedreamv45/seedream_v45_edit_input_2.png", "https://storage.googleapis.com/falserverless/example_inputs/seedreamv45/seedream_v45_edit_input_3.png" ] }, with_logs=True, on_queue_update=on_queue_update, ) print(result) ``` ```javascript title="JavaScript" theme={null} import { fal } from "@fal-ai/client"; const result = await fal.subscribe("fal-ai/bytedance/seedream/v4.5/edit", { input: { prompt: "Replace the product in Figure 1 with that in Figure 2. For the title copy the text in Figure 3 to the top of the screen, the title should have a clear contrast with the background but not be overly eye-catching.", image_urls: [ "https://storage.googleapis.com/falserverless/example_inputs/seedreamv45/seedream_v45_edit_input_1.png", "https://storage.googleapis.com/falserverless/example_inputs/seedreamv45/seedream_v45_edit_input_2.png", "https://storage.googleapis.com/falserverless/example_inputs/seedreamv45/seedream_v45_edit_input_3.png" ] }, logs: true, onQueueUpdate: (update) => { if (update.status === "IN_PROGRESS") { update.logs.map((log) => log.message).forEach(console.log); } }, }); console.log(result.data); console.log(result.requestId); ``` ```bash title="cURL" theme={null} curl --request POST \ --url https://fal.run/fal-ai/bytedance/seedream/v4.5/edit \ --header "Authorization: Key $FAL_KEY" \ --header "Content-Type: application/json" \ --data '{ "prompt": "Replace the product in Figure 1 with that in Figure 2. For the title copy the text in Figure 3 to the top of the screen, the title should have a clear contrast with the background but not be overly eye-catching.", "image_urls": [ "https://storage.googleapis.com/falserverless/example_inputs/seedreamv45/seedream_v45_edit_input_1.png", "https://storage.googleapis.com/falserverless/example_inputs/seedreamv45/seedream_v45_edit_input_2.png", "https://storage.googleapis.com/falserverless/example_inputs/seedreamv45/seedream_v45_edit_input_3.png" ] }' ``` ### Input Schema The text prompt used to edit the image The size of the generated image. Width and height must be between 1920 and 4096, or total number of pixels must be between 2560*1440 and 4096*4096. Possible values: `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9`, `auto_2K`, `auto_4K` Number of separate model generations to be run with the prompt. Default value: `1` Range: `1` to `6` If set to a number greater than one, enables multi-image generation. The model will potentially return up to `max_images` images every generation, and in total, `num_images` generations will be carried out. In total, the number of images generated will be between `num_images` and `max_images*num_images`. The total number of images (image inputs + image outputs) must not exceed 15 Default value: `1` Range: `1` to `6` Random seed to control the stochasticity of image generation. If `True`, the media will be returned as a data URI and the output data won't be available in the request history. If set to true, the safety checker will be enabled. Default value: `true` List of URLs of input images for editing. Presently, up to 10 image inputs are allowed. If over 10 images are sent, only the last 10 will be used. ### Output Schema Generated images ### Input Example ```json theme={null} { "prompt": "Replace the product in Figure 1 with that in Figure 2. For the title copy the text in Figure 3 to the top of the screen, the title should have a clear contrast with the background but not be overly eye-catching.", "image_size": "auto_4K", "num_images": 1, "max_images": 1, "sync_mode": false, "enable_safety_checker": true, "image_urls": [ "https://storage.googleapis.com/falserverless/example_inputs/seedreamv45/seedream_v45_edit_input_1.png", "https://storage.googleapis.com/falserverless/example_inputs/seedreamv45/seedream_v45_edit_input_2.png", "https://storage.googleapis.com/falserverless/example_inputs/seedreamv45/seedream_v45_edit_input_3.png" ] } ``` ### Output Example ```json theme={null} { "images": [ { "url": "https://storage.googleapis.com/falserverless/example_outputs/seedreamv45/seedream_v45_edit_output.png" } ] } ``` **Endpoint:** `POST https://fal.run/fal-ai/bytedance/seedream/v4.5/text-to-image` **Endpoint ID:** `fal-ai/bytedance/seedream/v4.5/text-to-image` Run this model interactively with your own prompts. ### Quick Start ```python title="Python" theme={null} import fal_client def on_queue_update(update): if isinstance(update, fal_client.InProgress): for log in update.logs: print(log["message"]) result = fal_client.subscribe( "fal-ai/bytedance/seedream/v4.5/text-to-image", arguments={ "prompt": "A selfie of a cat, with the cat as the protagonist. The setting is twilight at the Eiffel Tower. The cat is happy, holding a piece of baklava in its paw. The photo has a slight motion blur and is slightly overexposed. From a selfie angle, with a bit of motion blur, the overall image presents a sense of calm madness. The text \"Seedream 4.5 is on fal\" should be written on the picture at the top in clearly visible font and crisp lettering. The image has a 4:3 aspect ratio" }, with_logs=True, on_queue_update=on_queue_update, ) print(result) ``` ```javascript title="JavaScript" theme={null} import { fal } from "@fal-ai/client"; const result = await fal.subscribe("fal-ai/bytedance/seedream/v4.5/text-to-image", { input: { prompt: "A selfie of a cat, with the cat as the protagonist. The setting is twilight at the Eiffel Tower. The cat is happy, holding a piece of baklava in its paw. The photo has a slight motion blur and is slightly overexposed. From a selfie angle, with a bit of motion blur, the overall image presents a sense of calm madness. The text \"Seedream 4.5 is on fal\" should be written on the picture at the top in clearly visible font and crisp lettering. The image has a 4:3 aspect ratio" }, logs: true, onQueueUpdate: (update) => { if (update.status === "IN_PROGRESS") { update.logs.map((log) => log.message).forEach(console.log); } }, }); console.log(result.data); console.log(result.requestId); ``` ```bash title="cURL" theme={null} curl --request POST \ --url https://fal.run/fal-ai/bytedance/seedream/v4.5/text-to-image \ --header "Authorization: Key $FAL_KEY" \ --header "Content-Type: application/json" \ --data '{ "prompt": "A selfie of a cat, with the cat as the protagonist. The setting is twilight at the Eiffel Tower. The cat is happy, holding a piece of baklava in its paw. The photo has a slight motion blur and is slightly overexposed. From a selfie angle, with a bit of motion blur, the overall image presents a sense of calm madness. The text \"Seedream 4.5 is on fal\" should be written on the picture at the top in clearly visible font and crisp lettering. The image has a 4:3 aspect ratio" }' ``` ### Input Schema The text prompt used to generate the image The size of the generated image. Width and height must be between 1920 and 4096, or total number of pixels must be between 2560*1440 and 4096*4096. Possible values: `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9`, `auto_2K`, `auto_4K` Number of separate model generations to be run with the prompt. Default value: `1` Range: `1` to `6` If set to a number greater than one, enables multi-image generation. The model will potentially return up to `max_images` images every generation, and in total, `num_images` generations will be carried out. In total, the number of images generated will be between `num_images` and `max_images*num_images`. Default value: `1` Range: `1` to `6` Random seed to control the stochasticity of image generation. If `True`, the media will be returned as a data URI and the output data won't be available in the request history. If set to true, the safety checker will be enabled. Default value: `true` ### Output Schema Generated images Seed used for generation ### Input Example ```json theme={null} { "prompt": "A selfie of a cat, with the cat as the protagonist. The setting is twilight at the Eiffel Tower. The cat is happy, holding a piece of baklava in its paw. The photo has a slight motion blur and is slightly overexposed. From a selfie angle, with a bit of motion blur, the overall image presents a sense of calm madness. The text \"Seedream 4.5 is on fal\" should be written on the picture at the top in clearly visible font and crisp lettering. The image has a 4:3 aspect ratio", "image_size": "auto_2K", "num_images": 1, "max_images": 1, "sync_mode": false, "enable_safety_checker": true } ``` ### Output Example ```json theme={null} { "images": [ { "url": "https://storage.googleapis.com/falserverless/example_outputs/seedreamv45/seedream_v45_t2i_output.png" } ], "seed": 42 } ``` ByteDance's Seedream 4.5 transforms existing images through natural language instructions at \$0.04 per edit, processing up to 10 reference images simultaneously for complex multi-source compositions. Trading simple single-image workflows for sophisticated context-aware editing, this unified architecture references multiple sources, copies specific elements between images, and maintains spatial relationships without manual masking. Built for e-commerce teams assembling product composites, designers prototyping layout variations, and marketing workflows requiring consistent brand element integration across visuals. **Built for:** Multi-image product composites | Layout prototyping with text overlays | Brand asset integration workflows *** ## Natural Language Editing Without Layers Seedream 4.5 consolidates image generation and editing into a single architecture that interprets spatial references directly from your prompt. Instead of requiring layer masks or selection tools, you describe edits using natural language - "replace the product in Figure 1 with that in Figure 2" or "copy the text from Figure 3 to the top with clear contrast." **What this means for you:** * **Multi-source composition:** Reference up to 10 images per edit, enabling complex workflows like product swaps, text overlay copying, and element positioning across multiple source files * **Context-aware transformations:** The model maintains depth, perspective, and lighting consistency when integrating elements from different sources - no manual blending required * **Resolution flexibility:** Output up to 4 megapixels (2048x2048 maximum) with configurable dimensions between 1920px and 4096px on either axis * **Batch generation control:** Run 1-6 separate generations per request, with optional multi-image output (up to 6 images per generation) for exploring variations *** ## Performance That Scales Seedream 4.5 processes edits in approximately 60 seconds on [fal infrastructure](https://fal.ai/models/fal-ai/bytedance/seedream/v4.5/edit), with pricing structured for production workflows requiring multiple reference images. | Metric | Result | Context | | :----------------------- | :-------------- | :------------------------------------------------------------------ | | **Inference Speed** | \~60 seconds | Standard processing time per edit on fal | | **Cost per Edit** | \$0.04 | 25 edits per \$1.00 on fal | | **Max Reference Images** | 10 images | Multi-source composition capability (last 10 used if more provided) | | **Max Resolution** | 4MP (2048x2048) | Configurable dimensions between 1920-4096px per axis | *** ## Technical Specifications | Spec | Details | | :------------------- | :-------------------------------------------------------- | | **Architecture** | Seedream 4.5 | | **Input Formats** | Image URLs (up to 10), text prompt | | **Output Formats** | PNG images via URL or data URI | | **Resolution Range** | 1920-4096px per axis, 2560×1440 to 4096×4096 total pixels | | **License** | Commercial use via fal Partner agreement | [API Documentation](https://fal.ai/models/fal-ai/bytedance/seedream/v4.5/edit/api) *** ## How It Stacks Up **[Bytedance Seedream v4 Edit](https://fal.ai/models/fal-ai/bytedance/seedream/v4/edit)** - Seedream 4.5 expands multi-image input capacity from v4's baseline while maintaining the unified editing architecture. Both versions handle natural language spatial instructions, with v4.5 prioritizing higher reference image limits for complex composition workflows. **[Bytedance Seededit v3](https://fal.ai/models/fal-ai/bytedance/seededit/v3/edit-image)** - Seedream 4.5 consolidates generation and editing into a single model architecture, trading v3's specialized editing focus for broader capability coverage. Seededit v3 remains purpose-built for pure image-to-image transformation workflows without generation requirements. **[NAFNet-deblur](https://fal.ai/models/fal-ai/nafnet/deblur)** - Seedream 4.5 handles multi-image composition and semantic editing through natural language, making it ideal for layout assembly and element integration. NAFNet-deblur specializes in single-image restoration tasks like blur removal and artifact correction where semantic understanding isn't required. ## Related * [Bytedance](/model-api-reference/image-generation-api/bytedance) — Image Generation ## Limitations * `image_size` restricted to: `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9`, `auto_2K`, `auto_4K` * `num_images` range: 1 to 6 * `max_images` range: 1 to 6 * Content moderation via safety checker