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replicategithubwc
/
neurogen
Neurogen Model for Splurge Art
- Public
- 4.7K runs
-
A100 (80GB)
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=replicategithubwc/neurogen
or set up a project from scratch
Install Replicate’s Node.js client library:
npm install replicateSet the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import and set up the client:
import Replicate from "replicate";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});Run replicategithubwc/neurogen using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"replicategithubwc/neurogen:44791c56fd904789f49421cb3398953e7df3b14797d2f24f9a68994591f47a38",
{
input: {
width: 768,
height: 768,
prompt: "a tiny mushroom person with a mushroom for a head walking by a stream in a lush forest. cgsociety masterpiece, artstation trending, by rossdraws, ghibli, Kimi no Na wa, greg rutkowski",
scheduler: "DPMSolverMultistep",
num_outputs: 4,
guidance_scale: 7.5,
negative_prompt: "easynegative, extra fingers, fewer fingers, (low quality, worst quality:1.4), (bad anatomy), (inaccurate limb:1.2), bad composition, inaccurate eyes, extra digit,fewer digits,(extra arms:1.2)",
num_inference_steps: 50
}
}
);
console.log(output);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:
pip install replicateSet the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the client:
import replicateRun replicategithubwc/neurogen using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"replicategithubwc/neurogen:44791c56fd904789f49421cb3398953e7df3b14797d2f24f9a68994591f47a38",
input={
"width": 768,
"height": 768,
"prompt": "a tiny mushroom person with a mushroom for a head walking by a stream in a lush forest. cgsociety masterpiece, artstation trending, by rossdraws, ghibli, Kimi no Na wa, greg rutkowski",
"scheduler": "DPMSolverMultistep",
"num_outputs": 4,
"guidance_scale": 7.5,
"negative_prompt": "easynegative, extra fingers, fewer fingers, (low quality, worst quality:1.4), (bad anatomy), (inaccurate limb:1.2), bad composition, inaccurate eyes, extra digit,fewer digits,(extra arms:1.2)",
"num_inference_steps": 50
}
)
print(output)To learn more, take a look at the guide on getting started with Python.
Set the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Run replicategithubwc/neurogen 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": "44791c56fd904789f49421cb3398953e7df3b14797d2f24f9a68994591f47a38",
"input": {
"width": 768,
"height": 768,
"prompt": "a tiny mushroom person with a mushroom for a head walking by a stream in a lush forest. cgsociety masterpiece, artstation trending, by rossdraws, ghibli, Kimi no Na wa, greg rutkowski",
"scheduler": "DPMSolverMultistep",
"num_outputs": 4,
"guidance_scale": 7.5,
"negative_prompt": "easynegative, extra fingers, fewer fingers, (low quality, worst quality:1.4), (bad anatomy), (inaccurate limb:1.2), bad composition, inaccurate eyes, extra digit,fewer digits,(extra arms:1.2)",
"num_inference_steps": 50
}
}' \
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.
Sign in with GitHub
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terms of service and privacy policy
Output
{
"completed_at": "2023-07-19T01:31:49.212541Z",
"created_at": "2023-07-19T01:29:06.747016Z",
"data_removed": false,
"error": null,
"id": "t3mtzt3bhufkuxml6c23l7fj7i",
"input": {
"width": 768,
"height": 768,
"prompt": "a tiny mushroom person with a mushroom for a head walking by a stream in a lush forest. cgsociety masterpiece, artstation trending, by rossdraws, ghibli, Kimi no Na wa, greg rutkowski",
"scheduler": "DPMSolverMultistep",
"num_outputs": 4,
"guidance_scale": 7.5,
"negative_prompt": "easynegative, extra fingers, fewer fingers, (low quality, worst quality:1.4), (bad anatomy), (inaccurate limb:1.2), bad composition, inaccurate eyes, extra digit,fewer digits,(extra arms:1.2)",
"num_inference_steps": 50
},
"logs": "Using seed: 35884\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:01<01:18, 1.59s/it]\n 4%|▍ | 2/50 [00:02<01:02, 1.30s/it]\n 6%|▌ | 3/50 [00:03<00:56, 1.20s/it]\n 8%|▊ | 4/50 [00:04<00:53, 1.16s/it]\n 10%|█ | 5/50 [00:05<00:51, 1.14s/it]\n 12%|█▏ | 6/50 [00:07<00:49, 1.12s/it]\n 14%|█▍ | 7/50 [00:08<00:47, 1.11s/it]\n 16%|█▌ | 8/50 [00:09<00:46, 1.11s/it]\n 18%|█▊ | 9/50 [00:10<00:45, 1.10s/it]\n 20%|██ | 10/50 [00:11<00:43, 1.10s/it]\n 22%|██▏ | 11/50 [00:12<00:42, 1.10s/it]\n 24%|██▍ | 12/50 [00:13<00:41, 1.10s/it]\n 26%|██▌ | 13/50 [00:14<00:40, 1.10s/it]\n 28%|██▊ | 14/50 [00:15<00:39, 1.10s/it]\n 30%|███ | 15/50 [00:16<00:38, 1.09s/it]\n 32%|███▏ | 16/50 [00:17<00:37, 1.09s/it]\n 34%|███▍ | 17/50 [00:19<00:36, 1.09s/it]\n 36%|███▌ | 18/50 [00:20<00:35, 1.09s/it]\n 38%|███▊ | 19/50 [00:21<00:33, 1.09s/it]\n 40%|████ | 20/50 [00:22<00:32, 1.10s/it]\n 42%|████▏ | 21/50 [00:23<00:31, 1.10s/it]\n 44%|████▍ | 22/50 [00:24<00:30, 1.10s/it]\n 46%|████▌ | 23/50 [00:25<00:29, 1.10s/it]\n 48%|████▊ | 24/50 [00:26<00:28, 1.10s/it]\n 50%|█████ | 25/50 [00:27<00:27, 1.10s/it]\n 52%|█████▏ | 26/50 [00:28<00:26, 1.10s/it]\n 54%|█████▍ | 27/50 [00:30<00:25, 1.10s/it]\n 56%|█████▌ | 28/50 [00:31<00:24, 1.10s/it]\n 58%|█████▊ | 29/50 [00:32<00:23, 1.10s/it]\n 60%|██████ | 30/50 [00:33<00:21, 1.10s/it]\n 62%|██████▏ | 31/50 [00:34<00:20, 1.10s/it]\n 64%|██████▍ | 32/50 [00:35<00:19, 1.10s/it]\n 66%|██████▌ | 33/50 [00:36<00:18, 1.10s/it]\n 68%|██████▊ | 34/50 [00:37<00:17, 1.10s/it]\n 70%|███████ | 35/50 [00:38<00:16, 1.10s/it]\n 72%|███████▏ | 36/50 [00:39<00:15, 1.10s/it]\n 74%|███████▍ | 37/50 [00:41<00:14, 1.10s/it]\n 76%|███████▌ | 38/50 [00:42<00:13, 1.10s/it]\n 78%|███████▊ | 39/50 [00:43<00:12, 1.10s/it]\n 80%|████████ | 40/50 [00:44<00:10, 1.10s/it]\n 82%|████████▏ | 41/50 [00:45<00:09, 1.10s/it]\n 84%|████████▍ | 42/50 [00:46<00:08, 1.10s/it]\n 86%|████████▌ | 43/50 [00:47<00:07, 1.10s/it]\n 88%|████████▊ | 44/50 [00:48<00:06, 1.10s/it]\n 90%|█████████ | 45/50 [00:49<00:05, 1.10s/it]\n 92%|█████████▏| 46/50 [00:50<00:04, 1.10s/it]\n 94%|█████████▍| 47/50 [00:51<00:03, 1.10s/it]\n 96%|█████████▌| 48/50 [00:53<00:02, 1.10s/it]\n 98%|█████████▊| 49/50 [00:54<00:01, 1.10s/it]\n100%|██████████| 50/50 [00:55<00:00, 1.10s/it]\n100%|██████████| 50/50 [00:55<00:00, 1.11s/it]",
"metrics": {
"predict_time": 60.109902,
"total_time": 162.465525
},
"output": [
"https://replicate.delivery/pbxt/wPuQNFVbF4ozAVlq6cyPorkWetQeq21jddc6f3i3lLgE4diiA/out-0.png",
"https://replicate.delivery/pbxt/vE2qDCrpXmoECFqnOU2I4z8wQscIHQcepcRJfk8cUUdD8ORRA/out-1.png",
"https://replicate.delivery/pbxt/WE440kYlT6avPdZRifofAHSEcK6fpHCPeGjEQysb6CzQw7EFB/out-2.png",
"https://replicate.delivery/pbxt/3eoFhwTNwTVPYCZv4NvACLWZPM6vPBFIOx8fm79fyF6I4diiA/out-3.png"
],
"started_at": "2023-07-19T01:30:49.102639Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/t3mtzt3bhufkuxml6c23l7fj7i",
"cancel": "https://api.replicate.com/v1/predictions/t3mtzt3bhufkuxml6c23l7fj7i/cancel"
},
"version": "f15d6db140af400ccb7b0835856b66b7d36cbbcdadf3f9e1f109e0b1048bc5f7"
}Generated in
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100%|██████████| 50/50 [00:55<00:00, 1.11s/it]This example was created by a different version, replicategithubwc/neurogen:f15d6db1.
Examples
Run time and cost
This model costs approximately $0.10 to run on Replicate, or 10 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.
This model runs on Nvidia A100 (80GB) GPU hardware. Predictions typically complete within 74 seconds. The predict time for this model varies significantly based on the inputs.