diff --git a/docs.json b/docs.json index 97d716dc..ef888bd3 100644 --- a/docs.json +++ b/docs.json @@ -528,7 +528,6 @@ "public-endpoints/models/qwen-image-edit-2511-lora", "public-endpoints/models/seedream-4-t2i", "public-endpoints/models/seedream-4-edit", - "public-endpoints/models/seedream-3", "public-endpoints/models/wan-2-6-t2i", "public-endpoints/models/z-image-turbo", "public-endpoints/models/nano-banana-edit", @@ -543,7 +542,6 @@ "public-endpoints/models/kling-v2-1", "public-endpoints/models/kling-v2-6-motion-control", "public-endpoints/models/kling-video-o1-r2v", - "public-endpoints/models/seedance-1-pro", "public-endpoints/models/seedance-1-5-pro", "public-endpoints/models/sora-2", "public-endpoints/models/sora-2-pro", @@ -551,9 +549,7 @@ "public-endpoints/models/wan-2-5", "public-endpoints/models/wan-2-2-i2v-lora", "public-endpoints/models/wan-2-2-i2v", - "public-endpoints/models/wan-2-2-t2v", "public-endpoints/models/wan-2-1-i2v", - "public-endpoints/models/wan-2-1-t2v", "public-endpoints/models/wan-2-6-i2v", "public-endpoints/models/p-video", "public-endpoints/models/vidu-q3-i2v", @@ -615,6 +611,22 @@ } }, "redirects": [ + { + "source": "/public-endpoints/models/seedance-1-pro", + "destination": "/public-endpoints/overview" + }, + { + "source": "/public-endpoints/models/seedream-3", + "destination": "/public-endpoints/overview" + }, + { + "source": "/public-endpoints/models/wan-2-2-t2v", + "destination": "/public-endpoints/overview" + }, + { + "source": "/public-endpoints/models/wan-2-1-t2v", + "destination": "/public-endpoints/overview" + }, { "source": "/public-endpoints/models/whisper-v3", "destination": "/public-endpoints/overview" diff --git a/public-endpoints/models/seedance-1-pro.mdx b/public-endpoints/models/seedance-1-pro.mdx deleted file mode 100644 index 757c9ebd..00000000 --- a/public-endpoints/models/seedance-1-pro.mdx +++ /dev/null @@ -1,179 +0,0 @@ ---- -title: "Seedance 1.0 Pro" -sidebarTitle: "Seedance 1.0 Pro" -description: "High-performance video generation with multi-shot storytelling capabilities." ---- - -Seedance 1.0 Pro is ByteDance's high-performance video generation model with multi-shot storytelling capabilities. It supports both text-to-video and image-to-video generation with customizable duration, frame rate, and resolution. - - - Test Seedance 1.0 Pro in the Runpod Hub playground. - - -| | | -|---|---| -| **Endpoint** | `https://api.runpod.ai/v2/seedance-1-0-pro/runsync` | -| **Pricing** | \$0.12–\$1.22 per video | -| **Type** | Video generation | - -## Request - -All parameters are passed within the `input` object in the request body. - - - Text description of the desired video scene. - - - - Optional source image URL for image-to-video generation. Leave empty for text-to-video. - - - - Video duration in seconds. - - - - Frames per second for the output video. - - - - Video dimensions in format "widthxheight". - - - -```bash cURL -curl -X POST "https://api.runpod.ai/v2/seedance-1-0-pro/runsync" \ - -H "Authorization: Bearer $RUNPOD_API_KEY" \ - -H "Content-Type: application/json" \ - -d '{ - "input": { - "prompt": "A pristine Porsche 911 930 Turbo photographed in golden hour lighting", - "duration": 5, - "fps": 24, - "size": "1920x1080", - "image": "" - } - }' -``` - -```python Python -import requests - -response = requests.post( - "https://api.runpod.ai/v2/seedance-1-0-pro/runsync", - headers={ - "Authorization": f"Bearer {RUNPOD_API_KEY}", - "Content-Type": "application/json", - }, - json={ - "input": { - "prompt": "A pristine Porsche 911 930 Turbo photographed in golden hour lighting", - "duration": 5, - "fps": 24, - "size": "1920x1080", - "image": "", - } - }, -) - -result = response.json() -print(result["output"]["video_url"]) -``` - -```javascript JavaScript -const response = await fetch( - "https://api.runpod.ai/v2/seedance-1-0-pro/runsync", - { - method: "POST", - headers: { - Authorization: `Bearer ${RUNPOD_API_KEY}`, - "Content-Type": "application/json", - }, - body: JSON.stringify({ - input: { - prompt: "A pristine Porsche 911 930 Turbo photographed in golden hour lighting", - duration: 5, - fps: 24, - size: "1920x1080", - image: "", - }, - }), - } -); - -const result = await response.json(); -console.log(result.output.video_url); -``` - - -## Response - - - Unique identifier for the request. - - - - Request status. Returns `COMPLETED` on success, `FAILED` on error. - - - - Time in milliseconds the request spent in queue before processing began. - - - - Time in milliseconds the model took to generate the video. - - - - Identifier of the worker that processed the request. - - - - The generation result containing the video URL and cost. - - - URL of the generated video. This URL expires after 7 days. - - - - Cost of the generation in USD. - - - - -```json 200 -{ - "id": "sync-a1b2c3d4-e5f6-7890-abcd-ef1234567890-u1", - "status": "COMPLETED", - "delayTime": 28, - "executionTime": 89012, - "workerId": "oqk7ao1uomckye", - "output": { - "video_url": "https://video.runpod.ai/abc123/output.mp4", - "cost": 0.62 - } -} -``` - -```json 400 -{ - "id": "sync-a1b2c3d4-e5f6-7890-abcd-ef1234567890-u1", - "status": "FAILED", - "error": "Invalid parameter: size format must be widthxheight" -} -``` - - - -Video URLs expire after 7 days. Download and store generated videos immediately if you need to keep them. - - -## Cost calculation - -Seedance 1.0 Pro pricing varies by resolution and duration: - -| Resolution | 5 seconds | 10 seconds | -|------------|-----------|------------| -| 480p | \$0.12 | \$0.24 | -| 720p | \$0.27 | \$0.54 | -| 1080p | \$0.61 | \$1.22 | diff --git a/public-endpoints/models/seedream-3.mdx b/public-endpoints/models/seedream-3.mdx deleted file mode 100644 index 2de57da8..00000000 --- a/public-endpoints/models/seedream-3.mdx +++ /dev/null @@ -1,166 +0,0 @@ ---- -title: "Seedream 3.0" -sidebarTitle: "Seedream 3.0" -description: "Native high-resolution bilingual image generation supporting Chinese and English." ---- - -Seedream 3.0 is ByteDance's native high-resolution bilingual image generation model supporting both Chinese and English prompts. It generates high-quality images with excellent prompt adherence in both languages. - - - Test Seedream 3.0 in the Runpod Hub playground. - - -| | | -|---|---| -| **Endpoint** | `https://api.runpod.ai/v2/seedream-3-0-t2i/runsync` | -| **Pricing** | \$0.03 per image | -| **Type** | Image generation | - -## Request - -All parameters are passed within the `input` object in the request body. - - - Text description of the desired image. Supports both Chinese and English. - - - - Seed for reproducible results. Set to -1 for random. - - - - Guidance scale for generation control. Higher values follow the prompt more closely. - - - - Image dimensions in format "widthxheight". - - - -```bash cURL -curl -X POST "https://api.runpod.ai/v2/seedream-3-0-t2i/runsync" \ - -H "Authorization: Bearer $RUNPOD_API_KEY" \ - -H "Content-Type: application/json" \ - -d '{ - "input": { - "prompt": "Hyper-realistic photograph of a deep-sea diver exploring an underwater cave", - "seed": -1, - "guidance": 2, - "size": "1024x1024" - } - }' -``` - -```python Python -import requests - -response = requests.post( - "https://api.runpod.ai/v2/seedream-3-0-t2i/runsync", - headers={ - "Authorization": f"Bearer {RUNPOD_API_KEY}", - "Content-Type": "application/json", - }, - json={ - "input": { - "prompt": "Hyper-realistic photograph of a deep-sea diver exploring an underwater cave", - "seed": -1, - "guidance": 2, - "size": "1024x1024", - } - }, -) - -result = response.json() -print(result["output"]["image_url"]) -``` - -```javascript JavaScript -const response = await fetch( - "https://api.runpod.ai/v2/seedream-3-0-t2i/runsync", - { - method: "POST", - headers: { - Authorization: `Bearer ${RUNPOD_API_KEY}`, - "Content-Type": "application/json", - }, - body: JSON.stringify({ - input: { - prompt: "Hyper-realistic photograph of a deep-sea diver exploring an underwater cave", - seed: -1, - guidance: 2, - size: "1024x1024", - }, - }), - } -); - -const result = await response.json(); -console.log(result.output.image_url); -``` - - -## Response - - - Unique identifier for the request. - - - - Request status. Returns `COMPLETED` on success, `FAILED` on error. - - - - Time in milliseconds the request spent in queue before processing began. - - - - Time in milliseconds the model took to generate the image. - - - - Identifier of the worker that processed the request. - - - - The generation result containing the image URL and cost. - - - URL of the generated image. This URL expires after 7 days. - - - - Cost of the generation in USD, calculated based on the output megapixels. - - - - -```json 200 -{ - "id": "sync-a1b2c3d4-e5f6-7890-abcd-ef1234567890-u1", - "status": "COMPLETED", - "delayTime": 21, - "executionTime": 4123, - "workerId": "oqk7ao1uomckye", - "output": { - "image_url": "https://image.runpod.ai/abc123/output.png", - "cost": 0.031457 - } -} -``` - -```json 400 -{ - "id": "sync-a1b2c3d4-e5f6-7890-abcd-ef1234567890-u1", - "status": "FAILED", - "error": "Invalid parameter: size format must be widthxheight" -} -``` - - - -Image URLs expire after 7 days. Download and store generated images immediately if you need to keep them. - - -## Cost calculation - -Seedream 3.0 charges \$0.03 per image generated. diff --git a/public-endpoints/models/wan-2-1-t2v.mdx b/public-endpoints/models/wan-2-1-t2v.mdx deleted file mode 100644 index f8fb1ec6..00000000 --- a/public-endpoints/models/wan-2-1-t2v.mdx +++ /dev/null @@ -1,214 +0,0 @@ ---- -title: "WAN 2.1 T2V 720p" -sidebarTitle: "WAN 2.1 T2V" -description: "Open-source text-to-video generation for creating 720p videos from text prompts." ---- - -WAN 2.1 T2V 720p is an open-source video generation model for creating 720p videos directly from text prompts. It uses a diffusion transformer architecture to generate high-quality video content without requiring a source image. - - - Test WAN 2.1 T2V 720p in the Runpod Hub playground. - - -| | | -|---|---| -| **Endpoint** | `https://api.runpod.ai/v2/wan-2-1-t2v-720/runsync` | -| **Pricing** | \$0.30 per 5 seconds of video | -| **Type** | Video generation | - -## Request - -All parameters are passed within the `input` object in the request body. - - - Text description of the desired video content. - - - - Elements to exclude from the generated video. - - - - Video resolution in format "width*height". - - - - Number of denoising steps. Range: 1-50. - - - - How closely to follow the prompt. Range: 0.0-10.0. - - - - Video duration in seconds. - - - - Controls the motion flow in the generated video. - - - - Seed for reproducible results. Set to -1 for random. - - - - Whether to automatically optimize the prompt. - - - - Whether to run safety checks on the output. - - - -```bash cURL -curl -X POST "https://api.runpod.ai/v2/wan-2-1-t2v-720/runsync" \ - -H "Authorization: Bearer $RUNPOD_API_KEY" \ - -H "Content-Type: application/json" \ - -d '{ - "input": { - "prompt": "Steady rain falls on a bustling Tokyo street at night, neon signs casting vibrant pink and blue light that reflects and ripples across the wet black pavement", - "num_inference_steps": 30, - "guidance": 5, - "negative_prompt": "", - "size": "1280*720", - "duration": 5, - "flow_shift": 5, - "seed": -1, - "enable_prompt_optimization": false, - "enable_safety_checker": true - } - }' -``` - -```python Python -import requests - -response = requests.post( - "https://api.runpod.ai/v2/wan-2-1-t2v-720/runsync", - headers={ - "Authorization": f"Bearer {RUNPOD_API_KEY}", - "Content-Type": "application/json", - }, - json={ - "input": { - "prompt": "Steady rain falls on a bustling Tokyo street at night, neon signs casting vibrant pink and blue light that reflects and ripples across the wet black pavement", - "num_inference_steps": 30, - "guidance": 5, - "negative_prompt": "", - "size": "1280*720", - "duration": 5, - "flow_shift": 5, - "seed": -1, - "enable_prompt_optimization": False, - "enable_safety_checker": True, - } - }, -) - -result = response.json() -print(result["output"]["video_url"]) -``` - -```javascript JavaScript -const response = await fetch( - "https://api.runpod.ai/v2/wan-2-1-t2v-720/runsync", - { - method: "POST", - headers: { - Authorization: `Bearer ${RUNPOD_API_KEY}`, - "Content-Type": "application/json", - }, - body: JSON.stringify({ - input: { - prompt: "Steady rain falls on a bustling Tokyo street at night, neon signs casting vibrant pink and blue light that reflects and ripples across the wet black pavement", - num_inference_steps: 30, - guidance: 5, - negative_prompt: "", - size: "1280*720", - duration: 5, - flow_shift: 5, - seed: -1, - enable_prompt_optimization: false, - enable_safety_checker: true, - }, - }), - } -); - -const result = await response.json(); -console.log(result.output.video_url); -``` - - -## Response - - - Unique identifier for the request. - - - - Request status. Returns `COMPLETED` on success, `FAILED` on error. - - - - Time in milliseconds the request spent in queue before processing began. - - - - Time in milliseconds the model took to generate the video. - - - - Identifier of the worker that processed the request. - - - - The generation result containing the video URL and cost. - - - URL of the generated video. This URL expires after 7 days. - - - - Cost of the generation in USD. - - - - -```json 200 -{ - "id": "sync-a1b2c3d4-e5f6-7890-abcd-ef1234567890-u1", - "status": "COMPLETED", - "delayTime": 28, - "executionTime": 68901, - "workerId": "oqk7ao1uomckye", - "output": { - "video_url": "https://video.runpod.ai/abc123/output.mp4", - "cost": 0.30 - } -} -``` - -```json 400 -{ - "id": "sync-a1b2c3d4-e5f6-7890-abcd-ef1234567890-u1", - "status": "FAILED", - "error": "Invalid parameter: size format must be width*height" -} -``` - - - -Video URLs expire after 7 days. Download and store generated videos immediately if you need to keep them. - - -## Cost calculation - -WAN 2.1 T2V 720p charges \$0.30 per 5 seconds of video. Example costs: - -| Duration | Cost | -|----------|------| -| 5 seconds | \$0.30 | -| 10 seconds | \$0.60 | -| 15 seconds | \$0.90 | diff --git a/public-endpoints/models/wan-2-2-t2v.mdx b/public-endpoints/models/wan-2-2-t2v.mdx deleted file mode 100644 index ac8bf144..00000000 --- a/public-endpoints/models/wan-2-2-t2v.mdx +++ /dev/null @@ -1,213 +0,0 @@ ---- -title: "WAN 2.2 T2V 720p" -sidebarTitle: "WAN 2.2 T2V" -description: "Open-source text-to-video generation using diffusion transformer architecture." ---- - -WAN 2.2 T2V 720p is an open-source AI video generation model that uses a diffusion transformer architecture for text-to-video generation. It creates 720p videos directly from text prompts without requiring a source image. - - - Test WAN 2.2 T2V 720p in the Runpod Hub playground. - - -| | | -|---|---| -| **Endpoint** | `https://api.runpod.ai/v2/wan-2-2-t2v-720/runsync` | -| **Pricing** | \$0.30–\$0.48 per video | -| **Type** | Video generation | - -## Request - -All parameters are passed within the `input` object in the request body. - - - Text description of the desired video content. - - - - Elements to exclude from the generated video. - - - - Video resolution in format "width*height". - - - - Number of denoising steps. Range: 1-50. - - - - How closely to follow the prompt. Range: 0.0-10.0. - - - - Video duration in seconds. - - - - Controls the motion flow in the generated video. - - - - Seed for reproducible results. Set to -1 for random. - - - - Whether to automatically optimize the prompt. - - - - Whether to run safety checks on the output. - - - -```bash cURL -curl -X POST "https://api.runpod.ai/v2/wan-2-2-t2v-720/runsync" \ - -H "Authorization: Bearer $RUNPOD_API_KEY" \ - -H "Content-Type: application/json" \ - -d '{ - "input": { - "prompt": "A serene morning in an ancient forest, golden sunlight filtering through tall pine trees, creating dancing light patterns on the moss-covered ground", - "num_inference_steps": 30, - "guidance": 5, - "negative_prompt": "", - "size": "1280*720", - "duration": 5, - "flow_shift": 5, - "seed": -1, - "enable_prompt_optimization": false, - "enable_safety_checker": true - } - }' -``` - -```python Python -import requests - -response = requests.post( - "https://api.runpod.ai/v2/wan-2-2-t2v-720/runsync", - headers={ - "Authorization": f"Bearer {RUNPOD_API_KEY}", - "Content-Type": "application/json", - }, - json={ - "input": { - "prompt": "A serene morning in an ancient forest, golden sunlight filtering through tall pine trees, creating dancing light patterns on the moss-covered ground", - "num_inference_steps": 30, - "guidance": 5, - "negative_prompt": "", - "size": "1280*720", - "duration": 5, - "flow_shift": 5, - "seed": -1, - "enable_prompt_optimization": False, - "enable_safety_checker": True, - } - }, -) - -result = response.json() -print(result["output"]["video_url"]) -``` - -```javascript JavaScript -const response = await fetch( - "https://api.runpod.ai/v2/wan-2-2-t2v-720/runsync", - { - method: "POST", - headers: { - Authorization: `Bearer ${RUNPOD_API_KEY}`, - "Content-Type": "application/json", - }, - body: JSON.stringify({ - input: { - prompt: "A serene morning in an ancient forest, golden sunlight filtering through tall pine trees, creating dancing light patterns on the moss-covered ground", - num_inference_steps: 30, - guidance: 5, - negative_prompt: "", - size: "1280*720", - duration: 5, - flow_shift: 5, - seed: -1, - enable_prompt_optimization: false, - enable_safety_checker: true, - }, - }), - } -); - -const result = await response.json(); -console.log(result.output.video_url); -``` - - -## Response - - - Unique identifier for the request. - - - - Request status. Returns `COMPLETED` on success, `FAILED` on error. - - - - Time in milliseconds the request spent in queue before processing began. - - - - Time in milliseconds the model took to generate the video. - - - - Identifier of the worker that processed the request. - - - - The generation result containing the video URL and cost. - - - URL of the generated video. This URL expires after 7 days. - - - - Cost of the generation in USD. - - - - -```json 200 -{ - "id": "sync-a1b2c3d4-e5f6-7890-abcd-ef1234567890-u1", - "status": "COMPLETED", - "delayTime": 26, - "executionTime": 72345, - "workerId": "oqk7ao1uomckye", - "output": { - "video_url": "https://video.runpod.ai/abc123/output.mp4", - "cost": 0.30 - } -} -``` - -```json 400 -{ - "id": "sync-a1b2c3d4-e5f6-7890-abcd-ef1234567890-u1", - "status": "FAILED", - "error": "Invalid parameter: size format must be width*height" -} -``` - - - -Video URLs expire after 7 days. Download and store generated videos immediately if you need to keep them. - - -## Cost calculation - -WAN 2.2 T2V 720p pricing: - -| Duration | Cost | -|----------|------| -| 5 seconds | \$0.30 | -| 8 seconds | \$0.48 | diff --git a/public-endpoints/overview.mdx b/public-endpoints/overview.mdx index c6e166d7..a7d06f0d 100644 --- a/public-endpoints/overview.mdx +++ b/public-endpoints/overview.mdx @@ -87,8 +87,8 @@ Public Endpoints offer models across four categories: | Type | Example models | Use cases | |------|--------|-----------| -| **Image** | [Flux Dev](/public-endpoints/models/flux-dev), [Flux Schnell](/public-endpoints/models/flux-schnell), [Qwen Image](/public-endpoints/models/qwen-image), [Seedream](/public-endpoints/models/seedream-3) | Text-to-image generation, image editing | -| **Video** | [WAN 2.5](/public-endpoints/models/wan-2-5), [Kling](/public-endpoints/models/kling-v2-1), [Seedance](/public-endpoints/models/seedance-1-pro), [SORA 2](/public-endpoints/models/sora-2) | Image-to-video, text-to-video generation | +| **Image** | [Flux Dev](/public-endpoints/models/flux-dev), [Flux Schnell](/public-endpoints/models/flux-schnell), [Qwen Image](/public-endpoints/models/qwen-image), [Seedream](/public-endpoints/models/seedream-4-t2i) | Text-to-image generation, image editing | +| **Video** | [WAN 2.5](/public-endpoints/models/wan-2-5), [Kling](/public-endpoints/models/kling-v2-1), [Seedance](/public-endpoints/models/seedance-1-5-pro), [SORA 2](/public-endpoints/models/sora-2) | Image-to-video, text-to-video generation | | **Audio** | [Minimax Speech](/public-endpoints/models/minimax-speech), [Chatterbox Turbo](/public-endpoints/models/chatterbox-turbo) | Text-to-speech, voice cloning | | **Text** | [Qwen3 32B](/public-endpoints/models/qwen3-32b), [IBM Granite](/public-endpoints/models/granite-4) | Chat, code generation, text completion | diff --git a/public-endpoints/reference.mdx b/public-endpoints/reference.mdx index cc4ddbd8..51be89be 100644 --- a/public-endpoints/reference.mdx +++ b/public-endpoints/reference.mdx @@ -27,7 +27,6 @@ Generate and edit images with text prompts or reference images. | [Qwen Image Edit 2511 LoRA](/public-endpoints/models/qwen-image-edit-2511-lora) | Advanced editing with LoRA support. | \$0.025/image | | [Seedream 4.0 T2I](/public-endpoints/models/seedream-4-t2i) | New-generation text-to-image creation. | \$0.027/image | | [Seedream 4.0 Edit](/public-endpoints/models/seedream-4-edit) | New-generation image editing. | \$0.027/image | -| [Seedream 3.0](/public-endpoints/models/seedream-3) | Bilingual image generation (Chinese-English). | \$0.03/image | | [WAN 2.6 T2I](/public-endpoints/models/wan-2-6-t2i) | Open-source text-to-image at 1024x1024. | \$0.03/image | | [Z-Image Turbo](/public-endpoints/models/z-image-turbo) | Fast 6B parameter image generation. | \$0.005/image | | [Nano Banana Edit](/public-endpoints/models/nano-banana-edit) | Google's model for combining multiple images. | \$0.038/image | @@ -44,7 +43,6 @@ Create videos from images or text prompts. Pricing varies by resolution and dura | [Kling v2.1 I2V Pro](/public-endpoints/models/kling-v2-1) | Professional image-to-video with enhanced fidelity. | \$0.45/5s, \$0.90/10s | | [Kling v2.6 Motion Control](/public-endpoints/models/kling-v2-6-motion-control) | Motion transfer from reference videos. | \$0.21/3s, \$0.63/10s | | [Kling Video O1 R2V](/public-endpoints/models/kling-video-o1-r2v) | Creative video with multi-reference images. | \$0.112/second | -| [Seedance 1.0 Pro](/public-endpoints/models/seedance-1-pro) | High-performance video with multi-shot storytelling. | From \$0.12/5s | | [Seedance 1.5 Pro I2V](/public-endpoints/models/seedance-1-5-pro) | Cinematic image-to-video with expressive motion. | \$0.024–\$0.052/second | | [SORA 2 I2V](/public-endpoints/models/sora-2) | OpenAI's video and audio generation. | \$0.40 (4s), \$0.80 (8s), \$1.20 (12s) | | [SORA 2 Pro I2V](/public-endpoints/models/sora-2-pro) | Professional-grade SORA video generation. | From \$1.20 (720p/4s) | @@ -52,9 +50,7 @@ Create videos from images or text prompts. Pricing varies by resolution and dura | [WAN 2.5](/public-endpoints/models/wan-2-5) | Image-to-video with prompt expansion. | From \$0.25/5s | | [WAN 2.2 I2V LoRA](/public-endpoints/models/wan-2-2-i2v-lora) | Image-to-video with LoRA camera controls. | \$0.35/5s, \$0.56/8s | | [WAN 2.2 I2V](/public-endpoints/models/wan-2-2-i2v) | Open-source image-to-video at 720p. | \$0.30/5s | -| [WAN 2.2 T2V](/public-endpoints/models/wan-2-2-t2v) | Open-source text-to-video at 720p. | \$0.30/5s | | [WAN 2.1 I2V](/public-endpoints/models/wan-2-1-i2v) | Image-to-video at 720p. | \$0.30/5s | -| [WAN 2.1 T2V](/public-endpoints/models/wan-2-1-t2v) | Text-to-video at 720p. | \$0.30/5s | | [WAN 2.6 I2V](/public-endpoints/models/wan-2-6-i2v) | Image-to-video with audio support up to 1080p. | \$0.10/s (720p), \$0.15/s (1080p) | | [Pruna Video](/public-endpoints/models/p-video) | Premium AI video from text, images, and audio. | \$0.02/s (720p), \$0.04/s (1080p) | | [Vidu Q3 I2V](/public-endpoints/models/vidu-q3-i2v) | Animate reference images with text-driven motion. | \$0.15/second | diff --git a/release-notes.mdx b/release-notes.mdx index 26de4622..12f832ce 100644 --- a/release-notes.mdx +++ b/release-notes.mdx @@ -120,7 +120,7 @@ Flash now supports deploying endpoints to [multiple datacenters](/flash/configur ## Public Endpoints arrive, Slurm Clusters in beta -- [Public Endpoints](/public-endpoints/overview): Access state-of-the-art AI models through simple API calls with an integrated playground. Available endpoints include [Seedance 1.0 Pro](/public-endpoints/models/seedance-1-pro), [Seedream 3.0](/public-endpoints/models/seedream-3), [Qwen Image Edit](/public-endpoints/models/qwen-image-edit), [Flux Kontext](/public-endpoints/models/flux-kontext-dev), [Cogito 671B](/public-endpoints/models/cogito-671b), and [Minimax Speech](/public-endpoints/models/minimax-speech). +- [Public Endpoints](/public-endpoints/overview): Access state-of-the-art AI models through simple API calls with an integrated playground. Available endpoints include [Qwen Image Edit](/public-endpoints/models/qwen-image-edit), [Flux Kontext](/public-endpoints/models/flux-kontext-dev), [Cogito 671B](/public-endpoints/models/cogito-671b), and [Minimax Speech](/public-endpoints/models/minimax-speech). - [Slurm Clusters (beta)](/instant-clusters/slurm-clusters): Create on-demand multi-node clusters instantly with full Slurm scheduling support.