CogView3: Finer and Faster Text-to-Image Generation via Relay Diffusion
Run this model in Node.js with one line of code:
npm install replicateREPLICATE_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 jyoung105/cogview-v3-plus using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"jyoung105/cogview-v3-plus:41696342df30880be236c0fd936947577b5def8b25c0451cfc6e6b89867f52dd",
{
input: {
steps: 50,
width: 1024,
height: 1024,
prompt: "A man with hoodie on, illustration",
num_images: 1,
guidance_scale: 7
}
}
);
// 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.
pip install replicateREPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
import replicateRun jyoung105/cogview-v3-plus using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"jyoung105/cogview-v3-plus:41696342df30880be236c0fd936947577b5def8b25c0451cfc6e6b89867f52dd",
input={
"steps": 50,
"width": 1024,
"height": 1024,
"prompt": "A man with hoodie on, illustration",
"num_images": 1,
"guidance_scale": 7
}
)
# To access the file URL:
print(output[0].url())
#=> "http://example.com"
# To write the file to disk:
with open("my-image.png", "wb") as file:
file.write(output[0].read())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 jyoung105/cogview-v3-plus 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": "jyoung105/cogview-v3-plus:41696342df30880be236c0fd936947577b5def8b25c0451cfc6e6b89867f52dd",
"input": {
"steps": 50,
"width": 1024,
"height": 1024,
"prompt": "A man with hoodie on, illustration",
"num_images": 1,
"guidance_scale": 7
}
}' \
https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Add a payment method to run this model.
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{
"completed_at": "2024-11-19T05:53:21.632522Z",
"created_at": "2024-11-19T05:49:01.641000Z",
"data_removed": false,
"error": null,
"id": "kez4neck95rgp0ck8bvv4pyte4",
"input": {
"steps": 50,
"width": 1024,
"height": 1024,
"prompt": "A man with hoodie on, illustration",
"num_images": 1,
"guidance_scale": 7
},
"logs": "[Debug] DEVICE: cuda\n[Debug] DTYPE: torch.bfloat16\nSetup completed in 0.00 seconds.\n[~] Generating images...\n[Debug] Prompt: A man with hoodie on, illustration, best quality, high detail, sharp focus\n[Debug] Seed: 36602\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:05<04:17, 5.26s/it]\n 4%|▍ | 2/50 [00:05<02:04, 2.59s/it]\n 6%|▌ | 3/50 [00:06<01:21, 1.73s/it]\n 8%|▊ | 4/50 [00:07<01:01, 1.33s/it]\n 10%|█ | 5/50 [00:08<00:49, 1.11s/it]\n 12%|█▏ | 6/50 [00:08<00:42, 1.02it/s]\n 14%|█▍ | 7/50 [00:09<00:38, 1.12it/s]\n 16%|█▌ | 8/50 [00:10<00:35, 1.20it/s]\n 18%|█▊ | 9/50 [00:10<00:32, 1.25it/s]\n 20%|██ | 10/50 [00:11<00:30, 1.29it/s]\n 22%|██▏ | 11/50 [00:12<00:29, 1.32it/s]\n 24%|██▍ | 12/50 [00:13<00:28, 1.34it/s]\n 26%|██▌ | 13/50 [00:13<00:27, 1.36it/s]\n 28%|██▊ | 14/50 [00:14<00:26, 1.37it/s]\n 30%|███ | 15/50 [00:15<00:25, 1.37it/s]\n 32%|███▏ | 16/50 [00:16<00:24, 1.38it/s]\n 34%|███▍ | 17/50 [00:16<00:23, 1.39it/s]\n 36%|███▌ | 18/50 [00:17<00:22, 1.39it/s]\n 38%|███▊ | 19/50 [00:18<00:22, 1.39it/s]\n 40%|████ | 20/50 [00:18<00:21, 1.40it/s]\n 42%|████▏ | 21/50 [00:19<00:20, 1.40it/s]\n 44%|████▍ | 22/50 [00:20<00:20, 1.40it/s]\n 46%|████▌ | 23/50 [00:21<00:19, 1.40it/s]\n 48%|████▊ | 24/50 [00:21<00:18, 1.40it/s]\n 50%|█████ | 25/50 [00:22<00:17, 1.40it/s]\n 52%|█████▏ | 26/50 [00:23<00:17, 1.40it/s]\n 54%|█████▍ | 27/50 [00:23<00:16, 1.40it/s]\n 56%|█████▌ | 28/50 [00:24<00:15, 1.40it/s]\n 58%|█████▊ | 29/50 [00:25<00:15, 1.40it/s]\n 60%|██████ | 30/50 [00:26<00:14, 1.40it/s]\n 62%|██████▏ | 31/50 [00:26<00:13, 1.40it/s]\n 64%|██████▍ | 32/50 [00:27<00:12, 1.40it/s]\n 66%|██████▌ | 33/50 [00:28<00:12, 1.40it/s]\n 68%|██████▊ | 34/50 [00:28<00:11, 1.40it/s]\n 70%|███████ | 35/50 [00:29<00:10, 1.40it/s]\n 72%|███████▏ | 36/50 [00:30<00:10, 1.39it/s]\n 74%|███████▍ | 37/50 [00:31<00:10, 1.23it/s]\n 76%|███████▌ | 38/50 [00:32<00:09, 1.28it/s]\n 78%|███████▊ | 39/50 [00:32<00:08, 1.31it/s]\n 80%|████████ | 40/50 [00:33<00:07, 1.33it/s]\n 82%|████████▏ | 41/50 [00:34<00:06, 1.35it/s]\n 84%|████████▍ | 42/50 [00:34<00:05, 1.36it/s]\n 86%|████████▌ | 43/50 [00:35<00:05, 1.37it/s]\n 88%|████████▊ | 44/50 [00:36<00:04, 1.38it/s]\n 90%|█████████ | 45/50 [00:37<00:03, 1.38it/s]\n 92%|█████████▏| 46/50 [00:37<00:02, 1.38it/s]\n 94%|█████████▍| 47/50 [00:38<00:02, 1.38it/s]\n 96%|█████████▌| 48/50 [00:39<00:01, 1.38it/s]\n 98%|█████████▊| 49/50 [00:39<00:00, 1.39it/s]\n100%|██████████| 50/50 [00:40<00:00, 1.39it/s]\n100%|██████████| 50/50 [00:40<00:00, 1.23it/s]\nImage generation completed in 46.10 seconds.",
"metrics": {
"predict_time": 47.97896268,
"total_time": 259.991522
},
"output": [
"https://replicate.delivery/pbxt/4yKOL9TVaMayDZxfoEv4NNx4AE5vdH7JLux6xlJUJf7QndyTA/out_0.png"
],
"started_at": "2024-11-19T05:52:33.653559Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/kez4neck95rgp0ck8bvv4pyte4",
"cancel": "https://api.replicate.com/v1/predictions/kez4neck95rgp0ck8bvv4pyte4/cancel"
},
"version": "efb7648a7aca1a14054f8ffb61dc24c10a6a9ee11a1533084963997bf8215a1d"
}[Debug] DEVICE: cuda
[Debug] DTYPE: torch.bfloat16
Setup completed in 0.00 seconds.
[~] Generating images...
[Debug] Prompt: A man with hoodie on, illustration, best quality, high detail, sharp focus
[Debug] Seed: 36602
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Image generation completed in 46.10 seconds.This output was created using a different version of the model, jyoung105/cogview-v3-plus:efb7648a.
This model runs on Nvidia L40S GPU hardware. We don't yet have enough runs of this model to provide performance information.
This model doesn't have a readme.
This model is cold. You'll get a fast response if the model is warm and already running, and a slower response if the model is cold and starting up.
This model runs on L40S hardware which costs $0.000975 per second. View more.
[Debug] DEVICE: cuda
[Debug] DTYPE: torch.bfloat16
Setup completed in 0.00 seconds.
[~] Generating images...
[Debug] Prompt: A man with hoodie on, illustration, best quality, high detail, sharp focus
[Debug] Seed: 36602
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Image generation completed in 46.10 seconds.