georgedavila / ltx-img2vid
Cog implementation of LTX image to video from its diffusers pipeline
- Public
- 126 runs
- GitHub
Prediction
georgedavila/ltx-img2vid:6f0ce3825f700c860b563ca6de563d375cb5d54df6e5ddd6150cf9b55010bc5dIDz6ahha0bkdrme0cm9qmt57yjegStatusSucceededSourceWebHardwareL40STotal durationCreatedInput
- outFPS
- 24
- myprompt
- A woman in an astronaut suit stares defiantly into the camera. Behind her is a pink ballroom glittering from incoming sunlight. She winks to the camera then turns her head to face the room. The scene appears to be from a film or television show.
- outWidth
- 864
- outHeight
- 480
- num_frames
- 97
- imageSource
- guidanceScale
- 3
- negative_prompt
- low quality, worst quality, inconsistent motion, blurry, jittery, distorted
- num_inference_steps
- 50
{ "outFPS": 24, "myprompt": "A woman in an astronaut suit stares defiantly into the camera. Behind her is a pink ballroom glittering from incoming sunlight. She winks to the camera then turns her head to face the room. The scene appears to be from a film or television show.", "outWidth": 864, "outHeight": 480, "num_frames": 97, "imageSource": "https://replicate.delivery/pbxt/MIKcf8vo7vTEZeBqHcepMZjXtg7TTtwaslC8RSigXjbn5zpq/testimg1.jpg", "guidanceScale": 3, "negative_prompt": "low quality, worst quality, inconsistent motion, blurry, jittery, distorted", "num_inference_steps": 50 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run georgedavila/ltx-img2vid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "georgedavila/ltx-img2vid:6f0ce3825f700c860b563ca6de563d375cb5d54df6e5ddd6150cf9b55010bc5d", { input: { outFPS: 24, myprompt: "A woman in an astronaut suit stares defiantly into the camera. Behind her is a pink ballroom glittering from incoming sunlight. She winks to the camera then turns her head to face the room. The scene appears to be from a film or television show.", outWidth: 864, outHeight: 480, num_frames: 97, imageSource: "https://replicate.delivery/pbxt/MIKcf8vo7vTEZeBqHcepMZjXtg7TTtwaslC8RSigXjbn5zpq/testimg1.jpg", guidanceScale: 3, negative_prompt: "low quality, worst quality, inconsistent motion, blurry, jittery, distorted", num_inference_steps: 50 } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun georgedavila/ltx-img2vid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "georgedavila/ltx-img2vid:6f0ce3825f700c860b563ca6de563d375cb5d54df6e5ddd6150cf9b55010bc5d", input={ "outFPS": 24, "myprompt": "A woman in an astronaut suit stares defiantly into the camera. Behind her is a pink ballroom glittering from incoming sunlight. She winks to the camera then turns her head to face the room. The scene appears to be from a film or television show.", "outWidth": 864, "outHeight": 480, "num_frames": 97, "imageSource": "https://replicate.delivery/pbxt/MIKcf8vo7vTEZeBqHcepMZjXtg7TTtwaslC8RSigXjbn5zpq/testimg1.jpg", "guidanceScale": 3, "negative_prompt": "low quality, worst quality, inconsistent motion, blurry, jittery, distorted", "num_inference_steps": 50 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run georgedavila/ltx-img2vid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "georgedavila/ltx-img2vid:6f0ce3825f700c860b563ca6de563d375cb5d54df6e5ddd6150cf9b55010bc5d", "input": { "outFPS": 24, "myprompt": "A woman in an astronaut suit stares defiantly into the camera. Behind her is a pink ballroom glittering from incoming sunlight. She winks to the camera then turns her head to face the room. The scene appears to be from a film or television show.", "outWidth": 864, "outHeight": 480, "num_frames": 97, "imageSource": "https://replicate.delivery/pbxt/MIKcf8vo7vTEZeBqHcepMZjXtg7TTtwaslC8RSigXjbn5zpq/testimg1.jpg", "guidanceScale": 3, "negative_prompt": "low quality, worst quality, inconsistent motion, blurry, jittery, distorted", "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-01-10T01:55:36.585640Z", "created_at": "2025-01-10T01:51:46.075000Z", "data_removed": false, "error": null, "id": "z6ahha0bkdrme0cm9qmt57yjeg", "input": { "outFPS": 24, "myprompt": "A woman in an astronaut suit stares defiantly into the camera. Behind her is a pink ballroom glittering from incoming sunlight. She winks to the camera then turns her head to face the room. The scene appears to be from a film or television show.", "outWidth": 864, "outHeight": 480, "num_frames": 97, "imageSource": "https://replicate.delivery/pbxt/MIKcf8vo7vTEZeBqHcepMZjXtg7TTtwaslC8RSigXjbn5zpq/testimg1.jpg", "guidanceScale": 3, "negative_prompt": "low quality, worst quality, inconsistent motion, blurry, jittery, distorted", "num_inference_steps": 50 }, "logs": "Using seed: 12385\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:26, 1.86it/s]\n 4%|▍ | 2/50 [00:00<00:19, 2.44it/s]\n 6%|▌ | 3/50 [00:01<00:21, 2.15it/s]\n 8%|▊ | 4/50 [00:01<00:22, 2.03it/s]\n 10%|█ | 5/50 [00:02<00:22, 1.97it/s]\n 12%|█▏ | 6/50 [00:02<00:22, 1.94it/s]\n 14%|█▍ | 7/50 [00:03<00:22, 1.92it/s]\n 16%|█▌ | 8/50 [00:04<00:22, 1.90it/s]\n 18%|█▊ | 9/50 [00:04<00:21, 1.89it/s]\n 20%|██ | 10/50 [00:05<00:21, 1.89it/s]\n 22%|██▏ | 11/50 [00:05<00:20, 1.88it/s]\n 24%|██▍ | 12/50 [00:06<00:20, 1.88it/s]\n 26%|██▌ | 13/50 [00:06<00:19, 1.88it/s]\n 28%|██▊ | 14/50 [00:07<00:19, 1.88it/s]\n 30%|███ | 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[00:19<00:06, 1.86it/s]\n 76%|███████▌ | 38/50 [00:20<00:06, 1.86it/s]\n 78%|███████▊ | 39/50 [00:20<00:05, 1.86it/s]\n 80%|████████ | 40/50 [00:21<00:05, 1.86it/s]\n 82%|████████▏ | 41/50 [00:21<00:04, 1.86it/s]\n 84%|████████▍ | 42/50 [00:22<00:04, 1.86it/s]\n 86%|████████▌ | 43/50 [00:22<00:03, 1.86it/s]\n 88%|████████▊ | 44/50 [00:23<00:03, 1.86it/s]\n 90%|█████████ | 45/50 [00:23<00:02, 1.86it/s]\n 92%|█████████▏| 46/50 [00:24<00:02, 1.86it/s]\n 94%|█████████▍| 47/50 [00:24<00:01, 1.86it/s]\n 96%|█████████▌| 48/50 [00:25<00:01, 1.86it/s]\n 98%|█████████▊| 49/50 [00:26<00:00, 1.86it/s]\n100%|██████████| 50/50 [00:26<00:00, 1.86it/s]\n100%|██████████| 50/50 [00:26<00:00, 1.88it/s]", "metrics": { "predict_time": 37.637973182, "total_time": 230.51064 }, "output": "https://replicate.delivery/xezq/lOAWajnNFNJLDlAUrIgQIxiAPLB9kqpavOZv50FmbsHGw4AF/output.mp4", "started_at": "2025-01-10T01:54:58.947667Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-pre6i3p2hsm73jm6f6nftfd327nfqnp2pxudpvwx6wkrkwreojlq", "get": "https://api.replicate.com/v1/predictions/z6ahha0bkdrme0cm9qmt57yjeg", "cancel": "https://api.replicate.com/v1/predictions/z6ahha0bkdrme0cm9qmt57yjeg/cancel" }, "version": "6f0ce3825f700c860b563ca6de563d375cb5d54df6e5ddd6150cf9b55010bc5d" }Generated inUsing seed: 12385 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:26, 1.86it/s] 4%|▍ | 2/50 [00:00<00:19, 2.44it/s] 6%|▌ | 3/50 [00:01<00:21, 2.15it/s] 8%|▊ | 4/50 [00:01<00:22, 2.03it/s] 10%|█ | 5/50 [00:02<00:22, 1.97it/s] 12%|█▏ | 6/50 [00:02<00:22, 1.94it/s] 14%|█▍ | 7/50 [00:03<00:22, 1.92it/s] 16%|█▌ | 8/50 [00:04<00:22, 1.90it/s] 18%|█▊ | 9/50 [00:04<00:21, 1.89it/s] 20%|██ | 10/50 [00:05<00:21, 1.89it/s] 22%|██▏ | 11/50 [00:05<00:20, 1.88it/s] 24%|██▍ | 12/50 [00:06<00:20, 1.88it/s] 26%|██▌ | 13/50 [00:06<00:19, 1.88it/s] 28%|██▊ | 14/50 [00:07<00:19, 1.88it/s] 30%|███ | 15/50 [00:07<00:18, 1.87it/s] 32%|███▏ | 16/50 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[00:20<00:05, 1.86it/s] 80%|████████ | 40/50 [00:21<00:05, 1.86it/s] 82%|████████▏ | 41/50 [00:21<00:04, 1.86it/s] 84%|████████▍ | 42/50 [00:22<00:04, 1.86it/s] 86%|████████▌ | 43/50 [00:22<00:03, 1.86it/s] 88%|████████▊ | 44/50 [00:23<00:03, 1.86it/s] 90%|█████████ | 45/50 [00:23<00:02, 1.86it/s] 92%|█████████▏| 46/50 [00:24<00:02, 1.86it/s] 94%|█████████▍| 47/50 [00:24<00:01, 1.86it/s] 96%|█████████▌| 48/50 [00:25<00:01, 1.86it/s] 98%|█████████▊| 49/50 [00:26<00:00, 1.86it/s] 100%|██████████| 50/50 [00:26<00:00, 1.86it/s] 100%|██████████| 50/50 [00:26<00:00, 1.88it/s]Prediction
georgedavila/ltx-img2vid:6f0ce3825f700c860b563ca6de563d375cb5d54df6e5ddd6150cf9b55010bc5dID4bez53e3v5rmc0cm9qjbacqbgwStatusSucceededSourceWebHardwareL40STotal durationCreatedInput
- outFPS
- 24
- myprompt
- Four men walk across a London crosswalk, moving to the right. The men casually and calmly walk to the right. The scene is sunny with bright warm lighting. No cars move in the background. The camera remains stationary. Real footage.
- outWidth
- 512
- outHeight
- 512
- num_frames
- 97
- imageSource
- guidanceScale
- 3
- negative_prompt
- low quality, worst quality, inconsistent motion, blurry, jittery, distorted
- num_inference_steps
- 50
{ "outFPS": 24, "myprompt": "Four men walk across a London crosswalk, moving to the right. The men casually and calmly walk to the right. The scene is sunny with bright warm lighting. No cars move in the background. The camera remains stationary. Real footage.", "outWidth": 512, "outHeight": 512, "num_frames": 97, "imageSource": "https://upload.wikimedia.org/wikipedia/en/4/42/Beatles_-_Abbey_Road.jpg", "guidanceScale": 3, "negative_prompt": "low quality, worst quality, inconsistent motion, blurry, jittery, distorted", "num_inference_steps": 50 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run georgedavila/ltx-img2vid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "georgedavila/ltx-img2vid:6f0ce3825f700c860b563ca6de563d375cb5d54df6e5ddd6150cf9b55010bc5d", { input: { outFPS: 24, myprompt: "Four men walk across a London crosswalk, moving to the right. The men casually and calmly walk to the right. The scene is sunny with bright warm lighting. No cars move in the background. The camera remains stationary. Real footage.", outWidth: 512, outHeight: 512, num_frames: 97, imageSource: "https://upload.wikimedia.org/wikipedia/en/4/42/Beatles_-_Abbey_Road.jpg", guidanceScale: 3, negative_prompt: "low quality, worst quality, inconsistent motion, blurry, jittery, distorted", num_inference_steps: 50 } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun georgedavila/ltx-img2vid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "georgedavila/ltx-img2vid:6f0ce3825f700c860b563ca6de563d375cb5d54df6e5ddd6150cf9b55010bc5d", input={ "outFPS": 24, "myprompt": "Four men walk across a London crosswalk, moving to the right. The men casually and calmly walk to the right. The scene is sunny with bright warm lighting. No cars move in the background. The camera remains stationary. Real footage.", "outWidth": 512, "outHeight": 512, "num_frames": 97, "imageSource": "https://upload.wikimedia.org/wikipedia/en/4/42/Beatles_-_Abbey_Road.jpg", "guidanceScale": 3, "negative_prompt": "low quality, worst quality, inconsistent motion, blurry, jittery, distorted", "num_inference_steps": 50 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run georgedavila/ltx-img2vid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "georgedavila/ltx-img2vid:6f0ce3825f700c860b563ca6de563d375cb5d54df6e5ddd6150cf9b55010bc5d", "input": { "outFPS": 24, "myprompt": "Four men walk across a London crosswalk, moving to the right. The men casually and calmly walk to the right. The scene is sunny with bright warm lighting. No cars move in the background. The camera remains stationary. Real footage.", "outWidth": 512, "outHeight": 512, "num_frames": 97, "imageSource": "https://upload.wikimedia.org/wikipedia/en/4/42/Beatles_-_Abbey_Road.jpg", "guidanceScale": 3, "negative_prompt": "low quality, worst quality, inconsistent motion, blurry, jittery, distorted", "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-01-10T01:47:21.307854Z", "created_at": "2025-01-10T01:47:05.561000Z", "data_removed": false, "error": null, "id": "4bez53e3v5rmc0cm9qjbacqbgw", "input": { "outFPS": 24, "myprompt": "Four men walk across a London crosswalk, moving to the right. The men casually and calmly walk to the right. The scene is sunny with bright warm lighting. No cars move in the background. The camera remains stationary. Real footage.", "outWidth": 512, "outHeight": 512, "num_frames": 97, "imageSource": "https://upload.wikimedia.org/wikipedia/en/4/42/Beatles_-_Abbey_Road.jpg", "guidanceScale": 3, "negative_prompt": "low quality, worst quality, inconsistent motion, blurry, jittery, distorted", "num_inference_steps": 50 }, "logs": "Using seed: 44806\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:13, 3.74it/s]\n 4%|▍ | 2/50 [00:00<00:09, 4.88it/s]\n 6%|▌ | 3/50 [00:00<00:10, 4.28it/s]\n 8%|▊ | 4/50 [00:00<00:11, 4.04it/s]\n 10%|█ | 5/50 [00:01<00:11, 3.92it/s]\n 12%|█▏ | 6/50 [00:01<00:11, 3.85it/s]\n 14%|█▍ | 7/50 [00:01<00:11, 3.81it/s]\n 16%|█▌ | 8/50 [00:02<00:11, 3.78it/s]\n 18%|█▊ | 9/50 [00:02<00:10, 3.77it/s]\n 20%|██ | 10/50 [00:02<00:10, 3.75it/s]\n 22%|██▏ | 11/50 [00:02<00:10, 3.74it/s]\n 24%|██▍ | 12/50 [00:03<00:10, 3.74it/s]\n 26%|██▌ | 13/50 [00:03<00:09, 3.73it/s]\n 28%|██▊ | 14/50 [00:03<00:09, 3.73it/s]\n 30%|███ | 15/50 [00:03<00:09, 3.72it/s]\n 32%|███▏ | 16/50 [00:04<00:09, 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78%|███████▊ | 39/50 [00:10<00:02, 3.70it/s]\n 80%|████████ | 40/50 [00:10<00:02, 3.70it/s]\n 82%|████████▏ | 41/50 [00:10<00:02, 3.70it/s]\n 84%|████████▍ | 42/50 [00:11<00:02, 3.70it/s]\n 86%|████████▌ | 43/50 [00:11<00:01, 3.70it/s]\n 88%|████████▊ | 44/50 [00:11<00:01, 3.70it/s]\n 90%|█████████ | 45/50 [00:12<00:01, 3.69it/s]\n 92%|█████████▏| 46/50 [00:12<00:01, 3.69it/s]\n 94%|█████████▍| 47/50 [00:12<00:00, 3.69it/s]\n 96%|█████████▌| 48/50 [00:12<00:00, 3.69it/s]\n 98%|█████████▊| 49/50 [00:13<00:00, 3.69it/s]\n100%|██████████| 50/50 [00:13<00:00, 3.69it/s]\n100%|██████████| 50/50 [00:13<00:00, 3.74it/s]", "metrics": { "predict_time": 15.739025835, "total_time": 15.746854 }, "output": "https://replicate.delivery/xezq/ec5h5D85xs01FCkeG2ajvlXfQJ77cRt29VRbIFyfCh1niLOQB/output.mp4", "started_at": "2025-01-10T01:47:05.568828Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-rfzwlf73ywnppgeb4vsacp6otsnwikpjoaufljfniz2prtmlhwaa", "get": "https://api.replicate.com/v1/predictions/4bez53e3v5rmc0cm9qjbacqbgw", "cancel": "https://api.replicate.com/v1/predictions/4bez53e3v5rmc0cm9qjbacqbgw/cancel" }, "version": "6f0ce3825f700c860b563ca6de563d375cb5d54df6e5ddd6150cf9b55010bc5d" }Generated inUsing seed: 44806 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:13, 3.74it/s] 4%|▍ | 2/50 [00:00<00:09, 4.88it/s] 6%|▌ | 3/50 [00:00<00:10, 4.28it/s] 8%|▊ | 4/50 [00:00<00:11, 4.04it/s] 10%|█ | 5/50 [00:01<00:11, 3.92it/s] 12%|█▏ | 6/50 [00:01<00:11, 3.85it/s] 14%|█▍ | 7/50 [00:01<00:11, 3.81it/s] 16%|█▌ | 8/50 [00:02<00:11, 3.78it/s] 18%|█▊ | 9/50 [00:02<00:10, 3.77it/s] 20%|██ | 10/50 [00:02<00:10, 3.75it/s] 22%|██▏ | 11/50 [00:02<00:10, 3.74it/s] 24%|██▍ | 12/50 [00:03<00:10, 3.74it/s] 26%|██▌ | 13/50 [00:03<00:09, 3.73it/s] 28%|██▊ | 14/50 [00:03<00:09, 3.73it/s] 30%|███ | 15/50 [00:03<00:09, 3.72it/s] 32%|███▏ | 16/50 [00:04<00:09, 3.72it/s] 34%|███▍ | 17/50 [00:04<00:08, 3.72it/s] 36%|███▌ | 18/50 [00:04<00:08, 3.72it/s] 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84%|████████▍ | 42/50 [00:11<00:02, 3.70it/s] 86%|████████▌ | 43/50 [00:11<00:01, 3.70it/s] 88%|████████▊ | 44/50 [00:11<00:01, 3.70it/s] 90%|█████████ | 45/50 [00:12<00:01, 3.69it/s] 92%|█████████▏| 46/50 [00:12<00:01, 3.69it/s] 94%|█████████▍| 47/50 [00:12<00:00, 3.69it/s] 96%|█████████▌| 48/50 [00:12<00:00, 3.69it/s] 98%|█████████▊| 49/50 [00:13<00:00, 3.69it/s] 100%|██████████| 50/50 [00:13<00:00, 3.69it/s] 100%|██████████| 50/50 [00:13<00:00, 3.74it/s]Prediction
georgedavila/ltx-img2vid:2bc6fb297c05ce3b72cf596b0c1a4852d00998f820ffe1aaf8f63d77ecf33169ID68bwyyabghrmc0cm9r29h95cb4StatusSucceededSourceWebHardwareL40STotal durationCreatedInput
- outFPS
- 24
- myprompt
- Four men moving across the camera view, walking across a crosswalk. As they cross the street cars are moving in the background. The men casually and calmly walk to the right. The scene is sunny with bright warm lighting. No cars move in the background. The camera remains stationary. The scene appears to be from a film or television show.
- outWidth
- 768
- outHeight
- 768
- num_frames
- 193
- imageSource
- num_outputs
- 1
- guidanceScale
- 3
- negative_prompt
- low quality, worst quality, inconsistent motion, blurry, jittery, distorted
- num_inference_steps
- 50
{ "outFPS": 24, "myprompt": "Four men moving across the camera view, walking across a crosswalk. As they cross the street cars are moving in the background. The men casually and calmly walk to the right. The scene is sunny with bright warm lighting. No cars move in the background. The camera remains stationary. The scene appears to be from a film or television show.", "outWidth": 768, "outHeight": 768, "num_frames": 193, "imageSource": "https://replicate.delivery/pbxt/MIL4rUVok4F1z1LWe8NmDbt5AKjYyvr2jm87fEJTCGs4kVVa/testimg3.jpg", "num_outputs": 1, "guidanceScale": 3, "negative_prompt": "low quality, worst quality, inconsistent motion, blurry, jittery, distorted", "num_inference_steps": 50 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run georgedavila/ltx-img2vid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "georgedavila/ltx-img2vid:2bc6fb297c05ce3b72cf596b0c1a4852d00998f820ffe1aaf8f63d77ecf33169", { input: { outFPS: 24, myprompt: "Four men moving across the camera view, walking across a crosswalk. As they cross the street cars are moving in the background. The men casually and calmly walk to the right. The scene is sunny with bright warm lighting. No cars move in the background. The camera remains stationary. The scene appears to be from a film or television show.", outWidth: 768, outHeight: 768, num_frames: 193, imageSource: "https://replicate.delivery/pbxt/MIL4rUVok4F1z1LWe8NmDbt5AKjYyvr2jm87fEJTCGs4kVVa/testimg3.jpg", num_outputs: 1, guidanceScale: 3, negative_prompt: "low quality, worst quality, inconsistent motion, blurry, jittery, distorted", num_inference_steps: 50 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun georgedavila/ltx-img2vid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "georgedavila/ltx-img2vid:2bc6fb297c05ce3b72cf596b0c1a4852d00998f820ffe1aaf8f63d77ecf33169", input={ "outFPS": 24, "myprompt": "Four men moving across the camera view, walking across a crosswalk. As they cross the street cars are moving in the background. The men casually and calmly walk to the right. The scene is sunny with bright warm lighting. No cars move in the background. The camera remains stationary. The scene appears to be from a film or television show.", "outWidth": 768, "outHeight": 768, "num_frames": 193, "imageSource": "https://replicate.delivery/pbxt/MIL4rUVok4F1z1LWe8NmDbt5AKjYyvr2jm87fEJTCGs4kVVa/testimg3.jpg", "num_outputs": 1, "guidanceScale": 3, "negative_prompt": "low quality, worst quality, inconsistent motion, blurry, jittery, distorted", "num_inference_steps": 50 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run georgedavila/ltx-img2vid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "georgedavila/ltx-img2vid:2bc6fb297c05ce3b72cf596b0c1a4852d00998f820ffe1aaf8f63d77ecf33169", "input": { "outFPS": 24, "myprompt": "Four men moving across the camera view, walking across a crosswalk. As they cross the street cars are moving in the background. The men casually and calmly walk to the right. The scene is sunny with bright warm lighting. No cars move in the background. The camera remains stationary. The scene appears to be from a film or television show.", "outWidth": 768, "outHeight": 768, "num_frames": 193, "imageSource": "https://replicate.delivery/pbxt/MIL4rUVok4F1z1LWe8NmDbt5AKjYyvr2jm87fEJTCGs4kVVa/testimg3.jpg", "num_outputs": 1, "guidanceScale": 3, "negative_prompt": "low quality, worst quality, inconsistent motion, blurry, jittery, distorted", "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-01-10T02:32:10.780590Z", "created_at": "2025-01-10T02:21:31.908000Z", "data_removed": false, "error": null, "id": "68bwyyabghrmc0cm9r29h95cb4", "input": { "outFPS": 24, "myprompt": "Four men moving across the camera view, walking across a crosswalk. As they cross the street cars are moving in the background. The men casually and calmly walk to the right. The scene is sunny with bright warm lighting. No cars move in the background. The camera remains stationary. The scene appears to be from a film or television show.", "outWidth": 768, "outHeight": 768, "num_frames": 193, "imageSource": "https://replicate.delivery/pbxt/MIL4rUVok4F1z1LWe8NmDbt5AKjYyvr2jm87fEJTCGs4kVVa/testimg3.jpg", "num_outputs": 1, "guidanceScale": 3, "negative_prompt": "low quality, worst quality, inconsistent motion, blurry, jittery, distorted", "num_inference_steps": 50 }, "logs": "Using seed: 61994\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:01<01:30, 1.85s/it]\n 4%|▍ | 2/50 [00:02<01:07, 1.41s/it]\n 6%|▌ | 3/50 [00:04<01:15, 1.61s/it]\n 8%|▊ | 4/50 [00:06<01:18, 1.71s/it]\n 10%|█ | 5/50 [00:08<01:19, 1.76s/it]\n 12%|█▏ | 6/50 [00:10<01:18, 1.80s/it]\n 14%|█▍ | 7/50 [00:12<01:18, 1.82s/it]\n 16%|█▌ | 8/50 [00:14<01:16, 1.83s/it]\n 18%|█▊ | 9/50 [00:15<01:15, 1.84s/it]\n 20%|██ | 10/50 [00:17<01:14, 1.85s/it]\n 22%|██▏ | 11/50 [00:19<01:12, 1.86s/it]\n 24%|██▍ | 12/50 [00:21<01:10, 1.86s/it]\n 26%|██▌ | 13/50 [00:23<01:08, 1.86s/it]\n 28%|██▊ | 14/50 [00:25<01:07, 1.87s/it]\n 30%|███ | 15/50 [00:27<01:05, 1.87s/it]\n 32%|███▏ | 16/50 [00:29<01:03, 1.87s/it]\n 34%|███▍ | 17/50 [00:30<01:01, 1.88s/it]\n 36%|███▌ | 18/50 [00:32<01:00, 1.88s/it]\n 38%|███▊ | 19/50 [00:34<00:58, 1.87s/it]\n 40%|████ | 20/50 [00:36<00:56, 1.88s/it]\n 42%|████▏ | 21/50 [00:38<00:54, 1.88s/it]\n 44%|████▍ | 22/50 [00:40<00:52, 1.88s/it]\n 46%|████▌ | 23/50 [00:42<00:50, 1.88s/it]\n 48%|████▊ | 24/50 [00:44<00:48, 1.88s/it]\n 50%|█████ | 25/50 [00:45<00:46, 1.88s/it]\n 52%|█████▏ | 26/50 [00:47<00:45, 1.88s/it]\n 54%|█████▍ | 27/50 [00:49<00:43, 1.88s/it]\n 56%|█████▌ | 28/50 [00:51<00:41, 1.88s/it]\n 58%|█████▊ | 29/50 [00:53<00:39, 1.88s/it]\n 60%|██████ | 30/50 [00:55<00:37, 1.88s/it]\n 62%|██████▏ | 31/50 [00:57<00:35, 1.88s/it]\n 64%|██████▍ | 32/50 [00:59<00:33, 1.89s/it]\n 66%|██████▌ | 33/50 [01:01<00:32, 1.89s/it]\n 68%|██████▊ | 34/50 [01:02<00:30, 1.89s/it]\n 70%|███████ | 35/50 [01:04<00:28, 1.89s/it]\n 72%|███████▏ | 36/50 [01:06<00:26, 1.89s/it]\n 74%|███████▍ | 37/50 [01:08<00:24, 1.89s/it]\n 76%|███████▌ | 38/50 [01:10<00:22, 1.89s/it]\n 78%|███████▊ | 39/50 [01:12<00:20, 1.89s/it]\n 80%|████████ | 40/50 [01:14<00:18, 1.89s/it]\n 82%|████████▏ | 41/50 [01:16<00:17, 1.89s/it]\n 84%|████████▍ | 42/50 [01:18<00:15, 1.89s/it]\n 86%|████████▌ | 43/50 [01:19<00:13, 1.89s/it]\n 88%|████████▊ | 44/50 [01:21<00:11, 1.90s/it]\n 90%|█████████ | 45/50 [01:23<00:09, 1.90s/it]\n 92%|█████████▏| 46/50 [01:25<00:07, 1.90s/it]\n 94%|█████████▍| 47/50 [01:27<00:05, 1.90s/it]\n 96%|█████████▌| 48/50 [01:29<00:03, 1.90s/it]\n 98%|█████████▊| 49/50 [01:31<00:01, 1.90s/it]\n100%|██████████| 50/50 [01:33<00:00, 1.90s/it]\n100%|██████████| 50/50 [01:33<00:00, 1.87s/it]", "metrics": { "predict_time": 143.50868206, "total_time": 638.87259 }, "output": [ "https://replicate.delivery/xezq/xlfe2qB60Ste5JQ21JexhJleFekRGmsqnmTqh1s2rHsqq44AF/out-0.mp4" ], "started_at": "2025-01-10T02:29:47.271908Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-c325qdluaxyv4ijyb72c2mwaoqgwowexq2nuyykwr32c6ap2qfka", "get": "https://api.replicate.com/v1/predictions/68bwyyabghrmc0cm9r29h95cb4", "cancel": "https://api.replicate.com/v1/predictions/68bwyyabghrmc0cm9r29h95cb4/cancel" }, "version": "2bc6fb297c05ce3b72cf596b0c1a4852d00998f820ffe1aaf8f63d77ecf33169" }Generated inUsing seed: 61994 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:30, 1.85s/it] 4%|▍ | 2/50 [00:02<01:07, 1.41s/it] 6%|▌ | 3/50 [00:04<01:15, 1.61s/it] 8%|▊ | 4/50 [00:06<01:18, 1.71s/it] 10%|█ | 5/50 [00:08<01:19, 1.76s/it] 12%|█▏ | 6/50 [00:10<01:18, 1.80s/it] 14%|█▍ | 7/50 [00:12<01:18, 1.82s/it] 16%|█▌ | 8/50 [00:14<01:16, 1.83s/it] 18%|█▊ | 9/50 [00:15<01:15, 1.84s/it] 20%|██ | 10/50 [00:17<01:14, 1.85s/it] 22%|██▏ | 11/50 [00:19<01:12, 1.86s/it] 24%|██▍ | 12/50 [00:21<01:10, 1.86s/it] 26%|██▌ | 13/50 [00:23<01:08, 1.86s/it] 28%|██▊ | 14/50 [00:25<01:07, 1.87s/it] 30%|███ | 15/50 [00:27<01:05, 1.87s/it] 32%|███▏ | 16/50 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georgedavila/ltx-img2vid:e1fbbc6a607488eaf9d46debda062ef67893022e126b351cc232c1335dd8e772IDqj0wv0wpz1rmc0cm9s387n2hz4StatusSucceededSourceWebHardwareL40STotal durationCreatedInput
- outFPS
- 24
- myprompt
- A green alien waves at the camera and smiles. The camera remains stationary. The alien waves its hand. The alien's head moves slightly as it smiles at the camera. The friendly green alien is standing against a bright white background. The scene appears to be an animated cartoon.
- outWidth
- 512
- outHeight
- 512
- num_frames
- 97
- imageSource
- num_outputs
- 4
- guidanceScale
- 3
- decodeTimestepParam
- 0.03
- num_inference_steps
- 50
- decodeNoiseScaleParam
- 0.025
{ "outFPS": 24, "myprompt": "A green alien waves at the camera and smiles. The camera remains stationary. The alien waves its hand. The alien's head moves slightly as it smiles at the camera. The friendly green alien is standing against a bright white background. The scene appears to be an animated cartoon. ", "outWidth": 512, "outHeight": 512, "num_frames": 97, "imageSource": "https://replicate.delivery/pbxt/MIMBSWq3aZvjU8X4u2Dx4hueyBlK5J5tZqBtvYyo3EKBFGL3/Screenshot%202025-01-09%20214241.png", "num_outputs": 4, "guidanceScale": 3, "decodeTimestepParam": 0.03, "num_inference_steps": 50, "decodeNoiseScaleParam": 0.025 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run georgedavila/ltx-img2vid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "georgedavila/ltx-img2vid:e1fbbc6a607488eaf9d46debda062ef67893022e126b351cc232c1335dd8e772", { input: { outFPS: 24, myprompt: "A green alien waves at the camera and smiles. The camera remains stationary. The alien waves its hand. The alien's head moves slightly as it smiles at the camera. The friendly green alien is standing against a bright white background. The scene appears to be an animated cartoon. ", outWidth: 512, outHeight: 512, num_frames: 97, imageSource: "https://replicate.delivery/pbxt/MIMBSWq3aZvjU8X4u2Dx4hueyBlK5J5tZqBtvYyo3EKBFGL3/Screenshot%202025-01-09%20214241.png", num_outputs: 4, guidanceScale: 3, decodeTimestepParam: 0.03, num_inference_steps: 50, decodeNoiseScaleParam: 0.025 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun georgedavila/ltx-img2vid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "georgedavila/ltx-img2vid:e1fbbc6a607488eaf9d46debda062ef67893022e126b351cc232c1335dd8e772", input={ "outFPS": 24, "myprompt": "A green alien waves at the camera and smiles. The camera remains stationary. The alien waves its hand. The alien's head moves slightly as it smiles at the camera. The friendly green alien is standing against a bright white background. The scene appears to be an animated cartoon. ", "outWidth": 512, "outHeight": 512, "num_frames": 97, "imageSource": "https://replicate.delivery/pbxt/MIMBSWq3aZvjU8X4u2Dx4hueyBlK5J5tZqBtvYyo3EKBFGL3/Screenshot%202025-01-09%20214241.png", "num_outputs": 4, "guidanceScale": 3, "decodeTimestepParam": 0.03, "num_inference_steps": 50, "decodeNoiseScaleParam": 0.025 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run georgedavila/ltx-img2vid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "georgedavila/ltx-img2vid:e1fbbc6a607488eaf9d46debda062ef67893022e126b351cc232c1335dd8e772", "input": { "outFPS": 24, "myprompt": "A green alien waves at the camera and smiles. The camera remains stationary. The alien waves its hand. The alien\'s head moves slightly as it smiles at the camera. The friendly green alien is standing against a bright white background. The scene appears to be an animated cartoon. ", "outWidth": 512, "outHeight": 512, "num_frames": 97, "imageSource": "https://replicate.delivery/pbxt/MIMBSWq3aZvjU8X4u2Dx4hueyBlK5J5tZqBtvYyo3EKBFGL3/Screenshot%202025-01-09%20214241.png", "num_outputs": 4, "guidanceScale": 3, "decodeTimestepParam": 0.03, "num_inference_steps": 50, "decodeNoiseScaleParam": 0.025 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-01-10T03:43:30.936238Z", "created_at": "2025-01-10T03:33:56.600000Z", "data_removed": false, "error": null, "id": "qj0wv0wpz1rmc0cm9s387n2hz4", "input": { "outFPS": 24, "myprompt": "A green alien waves at the camera and smiles. The camera remains stationary. The alien waves its hand. The alien's head moves slightly as it smiles at the camera. The friendly green alien is standing against a bright white background. The scene appears to be an animated cartoon. ", "outWidth": 512, "outHeight": 512, "num_frames": 97, "imageSource": "https://replicate.delivery/pbxt/MIMBSWq3aZvjU8X4u2Dx4hueyBlK5J5tZqBtvYyo3EKBFGL3/Screenshot%202025-01-09%20214241.png", "num_outputs": 4, "guidanceScale": 3, "decodeTimestepParam": 0.03, "num_inference_steps": 50, "decodeNoiseScaleParam": 0.025 }, "logs": "Using seed: 25041\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:01<01:09, 1.42s/it]\n 4%|▍ | 2/50 [00:02<00:51, 1.08s/it]\n 6%|▌ | 3/50 [00:03<00:58, 1.23s/it]\n 8%|▊ | 4/50 [00:05<01:00, 1.31s/it]\n 10%|█ | 5/50 [00:06<01:00, 1.35s/it]\n 12%|█▏ | 6/50 [00:07<01:00, 1.37s/it]\n 14%|█▍ | 7/50 [00:09<00:59, 1.39s/it]\n 16%|█▌ | 8/50 [00:10<00:58, 1.40s/it]\n 18%|█▊ | 9/50 [00:12<00:57, 1.41s/it]\n 20%|██ | 10/50 [00:13<00:56, 1.41s/it]\n 22%|██▏ | 11/50 [00:15<00:55, 1.42s/it]\n 24%|██▍ | 12/50 [00:16<00:53, 1.42s/it]\n 26%|██▌ | 13/50 [00:17<00:52, 1.42s/it]\n 28%|██▊ | 14/50 [00:19<00:51, 1.42s/it]\n 30%|███ | 15/50 [00:20<00:49, 1.42s/it]\n 32%|███▏ | 16/50 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[00:53<00:17, 1.43s/it]\n 78%|███████▊ | 39/50 [00:55<00:15, 1.43s/it]\n 80%|████████ | 40/50 [00:56<00:14, 1.43s/it]\n 82%|████████▏ | 41/50 [00:57<00:12, 1.43s/it]\n 84%|████████▍ | 42/50 [00:59<00:11, 1.43s/it]\n 86%|████████▌ | 43/50 [01:00<00:10, 1.43s/it]\n 88%|████████▊ | 44/50 [01:02<00:08, 1.43s/it]\n 90%|█████████ | 45/50 [01:03<00:07, 1.43s/it]\n 92%|█████████▏| 46/50 [01:05<00:05, 1.43s/it]\n 94%|█████████▍| 47/50 [01:06<00:04, 1.43s/it]\n 96%|█████████▌| 48/50 [01:07<00:02, 1.43s/it]\n 98%|█████████▊| 49/50 [01:09<00:01, 1.43s/it]\n100%|██████████| 50/50 [01:10<00:00, 1.43s/it]\n100%|██████████| 50/50 [01:10<00:00, 1.42s/it]", "metrics": { "predict_time": 76.845928729, "total_time": 574.336238 }, "output": [ "https://replicate.delivery/xezq/tjkDZxnIqOqtJdZLctvJ2ZYuKDQPVAhUXbckA5OQbFqYJ5AF/out-0.mp4", "https://replicate.delivery/xezq/5Twk16Br0UrcDNT5CUPH2j7GcNunw2epGcDNxTgCGDKxSyBKA/out-1.mp4", "https://replicate.delivery/xezq/PoTvhhcBsRLyLN5tt8Of89orXKilDVhL0xEbRfgSfslFLJHoA/out-2.mp4", "https://replicate.delivery/xezq/RkP7sbLc3BqDFxqlpdBbBO4fjqnXU3s9bxisV7cLtXXxSyBKA/out-3.mp4" ], "started_at": "2025-01-10T03:42:14.090309Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-geew3lxmvciuf3crmknblozlhhbbecmqvrs3pf6athz44ursceja", "get": "https://api.replicate.com/v1/predictions/qj0wv0wpz1rmc0cm9s387n2hz4", "cancel": "https://api.replicate.com/v1/predictions/qj0wv0wpz1rmc0cm9s387n2hz4/cancel" }, "version": "e1fbbc6a607488eaf9d46debda062ef67893022e126b351cc232c1335dd8e772" }Generated inUsing seed: 25041 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:09, 1.42s/it] 4%|▍ | 2/50 [00:02<00:51, 1.08s/it] 6%|▌ | 3/50 [00:03<00:58, 1.23s/it] 8%|▊ | 4/50 [00:05<01:00, 1.31s/it] 10%|█ | 5/50 [00:06<01:00, 1.35s/it] 12%|█▏ | 6/50 [00:07<01:00, 1.37s/it] 14%|█▍ | 7/50 [00:09<00:59, 1.39s/it] 16%|█▌ | 8/50 [00:10<00:58, 1.40s/it] 18%|█▊ | 9/50 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