Failed to load versions. Head to the versions page to see all versions for this model.
You're looking at a specific version of this model. Jump to the model overview.
lucataco /cogview4-6b:5b608630
Input
Run this model in Node.js with one line of code:
npm install replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import Replicate from "replicate";
import fs from "node:fs";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run lucataco/cogview4-6b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"lucataco/cogview4-6b:5b608630958be05f6845ed0d629f56cd01c372017d42f4e26916a12c7eab7b62",
{
input: {
width: 1024,
height: 1024,
prompt: "A vibrant cherry red sports car sits proudly under the gleaming sun, its polished exterior smooth and flawless, casting a mirror-like reflection. The car features a low, aerodynamic body, angular headlights that gaze forward like predatory eyes, and a set of black, high-gloss racing rims that contrast starkly with the red. A subtle hint of chrome embellishes the grille and exhaust, while the tinted windows suggest a luxurious and private interior. The scene conveys a sense of speed and elegance, the car appearing as if it's about to burst into a sprint along a coastal road, with the ocean's azure waves crashing in the background",
guidance_scale: 3.5,
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.
pip install replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import replicate
Run lucataco/cogview4-6b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"lucataco/cogview4-6b:5b608630958be05f6845ed0d629f56cd01c372017d42f4e26916a12c7eab7b62",
input={
"width": 1024,
"height": 1024,
"prompt": "A vibrant cherry red sports car sits proudly under the gleaming sun, its polished exterior smooth and flawless, casting a mirror-like reflection. The car features a low, aerodynamic body, angular headlights that gaze forward like predatory eyes, and a set of black, high-gloss racing rims that contrast starkly with the red. A subtle hint of chrome embellishes the grille and exhaust, while the tinted windows suggest a luxurious and private interior. The scene conveys a sense of speed and elegance, the car appearing as if it's about to burst into a sprint along a coastal road, with the ocean's azure waves crashing in the background",
"guidance_scale": 3.5,
"num_inference_steps": 50
}
)
print(output)
To learn more, take a look at the guide on getting started with Python.
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run lucataco/cogview4-6b 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": "lucataco/cogview4-6b:5b608630958be05f6845ed0d629f56cd01c372017d42f4e26916a12c7eab7b62",
"input": {
"width": 1024,
"height": 1024,
"prompt": "A vibrant cherry red sports car sits proudly under the gleaming sun, its polished exterior smooth and flawless, casting a mirror-like reflection. The car features a low, aerodynamic body, angular headlights that gaze forward like predatory eyes, and a set of black, high-gloss racing rims that contrast starkly with the red. A subtle hint of chrome embellishes the grille and exhaust, while the tinted windows suggest a luxurious and private interior. The scene conveys a sense of speed and elegance, the car appearing as if it\'s about to burst into a sprint along a coastal road, with the ocean\'s azure waves crashing in the background",
"guidance_scale": 3.5,
"num_inference_steps": 50
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Add a payment method to run this model.
By signing in, you agree to our
terms of service and privacy policy
Output
{
"completed_at": "2025-03-06T20:07:49.411807Z",
"created_at": "2025-03-06T20:05:22.818000Z",
"data_removed": false,
"error": null,
"id": "70hp26gb09rm80cndm8a1kkm3m",
"input": {
"width": 1024,
"height": 1024,
"prompt": "A vibrant cherry red sports car sits proudly under the gleaming sun, its polished exterior smooth and flawless, casting a mirror-like reflection. The car features a low, aerodynamic body, angular headlights that gaze forward like predatory eyes, and a set of black, high-gloss racing rims that contrast starkly with the red. A subtle hint of chrome embellishes the grille and exhaust, while the tinted windows suggest a luxurious and private interior. The scene conveys a sense of speed and elegance, the car appearing as if it's about to burst into a sprint along a coastal road, with the ocean's azure waves crashing in the background",
"guidance_scale": 3.5,
"num_inference_steps": 50
},
"logs": "Using seed: 15597637\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:10<08:58, 10.99s/it]\n 4%|▍ | 2/50 [00:11<03:52, 4.84s/it]\n 6%|▌ | 3/50 [00:12<02:19, 2.97s/it]\n 8%|▊ | 4/50 [00:12<01:36, 2.09s/it]\n 10%|█ | 5/50 [00:13<01:12, 1.60s/it]\n 12%|█▏ | 6/50 [00:14<00:57, 1.31s/it]\n 14%|█▍ | 7/50 [00:15<00:48, 1.12s/it]\n 16%|█▌ | 8/50 [00:15<00:42, 1.00s/it]\n 18%|█▊ | 9/50 [00:16<00:37, 1.08it/s]\n 20%|██ | 10/50 [00:17<00:34, 1.15it/s]\n 22%|██▏ | 11/50 [00:18<00:32, 1.20it/s]\n 24%|██▍ | 12/50 [00:18<00:30, 1.24it/s]\n 26%|██▌ | 13/50 [00:19<00:29, 1.27it/s]\n 28%|██▊ | 14/50 [00:20<00:28, 1.28it/s]\n 30%|███ | 15/50 [00:21<00:27, 1.28it/s]\n 32%|███▏ | 16/50 [00:22<00:26, 1.29it/s]\n 34%|███▍ | 17/50 [00:22<00:25, 1.29it/s]\n 36%|███▌ | 18/50 [00:23<00:24, 1.29it/s]\n 38%|███▊ | 19/50 [00:24<00:24, 1.29it/s]\n 40%|████ | 20/50 [00:25<00:23, 1.29it/s]\n 42%|████▏ | 21/50 [00:25<00:22, 1.29it/s]\n 44%|████▍ | 22/50 [00:26<00:21, 1.29it/s]\n 46%|████▌ | 23/50 [00:27<00:20, 1.29it/s]\n 48%|████▊ | 24/50 [00:28<00:20, 1.29it/s]\n 50%|█████ | 25/50 [00:28<00:19, 1.29it/s]\n 52%|█████▏ | 26/50 [00:29<00:18, 1.29it/s]\n 54%|█████▍ | 27/50 [00:30<00:17, 1.29it/s]\n 56%|█████▌ | 28/50 [00:31<00:17, 1.29it/s]\n 58%|█████▊ | 29/50 [00:32<00:16, 1.29it/s]\n 60%|██████ | 30/50 [00:32<00:15, 1.29it/s]\n 62%|██████▏ | 31/50 [00:33<00:14, 1.29it/s]\n 64%|██████▍ | 32/50 [00:34<00:14, 1.29it/s]\n 66%|██████▌ | 33/50 [00:35<00:13, 1.28it/s]\n 68%|██████▊ | 34/50 [00:35<00:12, 1.28it/s]\n 70%|███████ | 35/50 [00:36<00:11, 1.28it/s]\n 72%|███████▏ | 36/50 [00:37<00:10, 1.28it/s]\n 74%|███████▍ | 37/50 [00:38<00:10, 1.28it/s]\n 76%|███████▌ | 38/50 [00:39<00:09, 1.28it/s]\n 78%|███████▊ | 39/50 [00:39<00:08, 1.28it/s]\n 80%|████████ | 40/50 [00:40<00:07, 1.28it/s]\n 82%|████████▏ | 41/50 [00:41<00:07, 1.28it/s]\n 84%|████████▍ | 42/50 [00:42<00:06, 1.28it/s]\n 86%|████████▌ | 43/50 [00:42<00:05, 1.28it/s]\n 88%|████████▊ | 44/50 [00:43<00:04, 1.28it/s]\n 90%|█████████ | 45/50 [00:44<00:03, 1.28it/s]\n 92%|█████████▏| 46/50 [00:45<00:03, 1.28it/s]\n 94%|█████████▍| 47/50 [00:46<00:02, 1.28it/s]\n 96%|█████████▌| 48/50 [00:46<00:01, 1.28it/s]\n 98%|█████████▊| 49/50 [00:47<00:00, 1.28it/s]\n100%|██████████| 50/50 [00:48<00:00, 1.28it/s]\n100%|██████████| 50/50 [00:48<00:00, 1.03it/s]",
"metrics": {
"predict_time": 58.84104651,
"total_time": 146.593807
},
"output": "https://replicate.delivery/xezq/LAoxeRLX7A2EGCMuSdaaVmiJZw5KYj5eguMih1X01YuVK7VUA/output.png",
"started_at": "2025-03-06T20:06:50.570760Z",
"status": "succeeded",
"urls": {
"stream": "https://stream.replicate.com/v1/files/bcwr-hugokczqfa5u33r2yxkh6rbgsacu3huipmz54ikukawawzw5bdxa",
"get": "https://api.replicate.com/v1/predictions/70hp26gb09rm80cndm8a1kkm3m",
"cancel": "https://api.replicate.com/v1/predictions/70hp26gb09rm80cndm8a1kkm3m/cancel"
},
"version": "5b608630958be05f6845ed0d629f56cd01c372017d42f4e26916a12c7eab7b62"
}
Using seed: 15597637
0%| | 0/50 [00:00<?, ?it/s]
2%|▏ | 1/50 [00:10<08:58, 10.99s/it]
4%|▍ | 2/50 [00:11<03:52, 4.84s/it]
6%|▌ | 3/50 [00:12<02:19, 2.97s/it]
8%|▊ | 4/50 [00:12<01:36, 2.09s/it]
10%|█ | 5/50 [00:13<01:12, 1.60s/it]
12%|█▏ | 6/50 [00:14<00:57, 1.31s/it]
14%|█▍ | 7/50 [00:15<00:48, 1.12s/it]
16%|█▌ | 8/50 [00:15<00:42, 1.00s/it]
18%|█▊ | 9/50 [00:16<00:37, 1.08it/s]
20%|██ | 10/50 [00:17<00:34, 1.15it/s]
22%|██▏ | 11/50 [00:18<00:32, 1.20it/s]
24%|██▍ | 12/50 [00:18<00:30, 1.24it/s]
26%|██▌ | 13/50 [00:19<00:29, 1.27it/s]
28%|██▊ | 14/50 [00:20<00:28, 1.28it/s]
30%|███ | 15/50 [00:21<00:27, 1.28it/s]
32%|███▏ | 16/50 [00:22<00:26, 1.29it/s]
34%|███▍ | 17/50 [00:22<00:25, 1.29it/s]
36%|███▌ | 18/50 [00:23<00:24, 1.29it/s]
38%|███▊ | 19/50 [00:24<00:24, 1.29it/s]
40%|████ | 20/50 [00:25<00:23, 1.29it/s]
42%|████▏ | 21/50 [00:25<00:22, 1.29it/s]
44%|████▍ | 22/50 [00:26<00:21, 1.29it/s]
46%|████▌ | 23/50 [00:27<00:20, 1.29it/s]
48%|████▊ | 24/50 [00:28<00:20, 1.29it/s]
50%|█████ | 25/50 [00:28<00:19, 1.29it/s]
52%|█████▏ | 26/50 [00:29<00:18, 1.29it/s]
54%|█████▍ | 27/50 [00:30<00:17, 1.29it/s]
56%|█████▌ | 28/50 [00:31<00:17, 1.29it/s]
58%|█████▊ | 29/50 [00:32<00:16, 1.29it/s]
60%|██████ | 30/50 [00:32<00:15, 1.29it/s]
62%|██████▏ | 31/50 [00:33<00:14, 1.29it/s]
64%|██████▍ | 32/50 [00:34<00:14, 1.29it/s]
66%|██████▌ | 33/50 [00:35<00:13, 1.28it/s]
68%|██████▊ | 34/50 [00:35<00:12, 1.28it/s]
70%|███████ | 35/50 [00:36<00:11, 1.28it/s]
72%|███████▏ | 36/50 [00:37<00:10, 1.28it/s]
74%|███████▍ | 37/50 [00:38<00:10, 1.28it/s]
76%|███████▌ | 38/50 [00:39<00:09, 1.28it/s]
78%|███████▊ | 39/50 [00:39<00:08, 1.28it/s]
80%|████████ | 40/50 [00:40<00:07, 1.28it/s]
82%|████████▏ | 41/50 [00:41<00:07, 1.28it/s]
84%|████████▍ | 42/50 [00:42<00:06, 1.28it/s]
86%|████████▌ | 43/50 [00:42<00:05, 1.28it/s]
88%|████████▊ | 44/50 [00:43<00:04, 1.28it/s]
90%|█████████ | 45/50 [00:44<00:03, 1.28it/s]
92%|█████████▏| 46/50 [00:45<00:03, 1.28it/s]
94%|█████████▍| 47/50 [00:46<00:02, 1.28it/s]
96%|█████████▌| 48/50 [00:46<00:01, 1.28it/s]
98%|█████████▊| 49/50 [00:47<00:00, 1.28it/s]
100%|██████████| 50/50 [00:48<00:00, 1.28it/s]
100%|██████████| 50/50 [00:48<00:00, 1.03it/s]