Versions
5c672796
Latest
bfd1dedb
c7d6a10b
225a505c
d75e4d46
You're looking at a specific version of this model. Jump to the model overview.
camenduru /visual-style-prompting-controlnet:bfd1dedb
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=camenduru/visual-style-prompting-controlnet
or set up a project from scratch
npm install replicateSet the
REPLICATE_API_TOKEN environment variableexport 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 camenduru/visual-style-prompting-controlnet using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"camenduru/visual-style-prompting-controlnet:bfd1dedbb46545a191b3a42b5f3778d6c97fa6b6c0283de7d099403c05560b65",
{
input: {
prompt: "",
style_name: "fire",
depth_image: "https://replicate.delivery/pbxt/KZccXvxIrAPKRoK2ptD9etXWNi7MBqEJwiq0Q8vq6J5lpei4/gundam.png",
style_image: "https://replicate.delivery/pbxt/KZccYM9O5deD8ojgR7f0jQct4suKTXCo6Xqomx4f5qxFqoac/ref_fire_fire.png",
diffusion_steps: 50,
controlnet_scale: 0.5
}
}
);
console.log(output);To learn more, take a look at the guide on getting started with Node.js.
pip install replicateSet the
REPLICATE_API_TOKEN environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the client
import replicateRun camenduru/visual-style-prompting-controlnet using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"camenduru/visual-style-prompting-controlnet:bfd1dedbb46545a191b3a42b5f3778d6c97fa6b6c0283de7d099403c05560b65",
input={
"prompt": "",
"style_name": "fire",
"depth_image": "https://replicate.delivery/pbxt/KZccXvxIrAPKRoK2ptD9etXWNi7MBqEJwiq0Q8vq6J5lpei4/gundam.png",
"style_image": "https://replicate.delivery/pbxt/KZccYM9O5deD8ojgR7f0jQct4suKTXCo6Xqomx4f5qxFqoac/ref_fire_fire.png",
"diffusion_steps": 50,
"controlnet_scale": 0.5
}
)
print(output)To learn more, take a look at the guide on getting started with Python.
Set the
REPLICATE_API_TOKEN environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Run camenduru/visual-style-prompting-controlnet 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": "bfd1dedbb46545a191b3a42b5f3778d6c97fa6b6c0283de7d099403c05560b65",
"input": {
"prompt": "",
"style_name": "fire",
"depth_image": "https://replicate.delivery/pbxt/KZccXvxIrAPKRoK2ptD9etXWNi7MBqEJwiq0Q8vq6J5lpei4/gundam.png",
"style_image": "https://replicate.delivery/pbxt/KZccYM9O5deD8ojgR7f0jQct4suKTXCo6Xqomx4f5qxFqoac/ref_fire_fire.png",
"diffusion_steps": 50,
"controlnet_scale": 0.5
}
}' \
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
By signing in, you agree to our
terms of service and privacy policy
Output
{
"completed_at": "2024-03-15T10:57:40.127542Z",
"created_at": "2024-03-15T10:47:53.970356Z",
"data_removed": false,
"error": null,
"id": "smrkaylb3ouadd2pb7ngxqwv3i",
"input": {
"prompt": "",
"style_name": "fire",
"depth_image": "https://replicate.delivery/pbxt/KZccXvxIrAPKRoK2ptD9etXWNi7MBqEJwiq0Q8vq6J5lpei4/gundam.png",
"style_image": "https://replicate.delivery/pbxt/KZccYM9O5deD8ojgR7f0jQct4suKTXCo6Xqomx4f5qxFqoac/ref_fire_fire.png",
"diffusion_steps": 50,
"controlnet_scale": 0.5
},
"logs": "0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:02<02:25, 2.96s/it]\n 4%|▍ | 2/50 [00:03<01:18, 1.64s/it]\n 6%|▌ | 3/50 [00:04<00:57, 1.22s/it]\n 8%|▊ | 4/50 [00:05<00:47, 1.03s/it]\n 10%|█ | 5/50 [00:05<00:41, 1.09it/s]\n 12%|█▏ | 6/50 [00:06<00:37, 1.17it/s]\n 14%|█▍ | 7/50 [00:07<00:34, 1.23it/s]\n 16%|█▌ | 8/50 [00:08<00:33, 1.27it/s]\n 18%|█▊ | 9/50 [00:08<00:31, 1.30it/s]\n 20%|██ | 10/50 [00:09<00:30, 1.33it/s]\n 22%|██▏ | 11/50 [00:10<00:29, 1.34it/s]\n 24%|██▍ | 12/50 [00:10<00:28, 1.35it/s]\n 26%|██▌ | 13/50 [00:11<00:27, 1.36it/s]\n 28%|██▊ | 14/50 [00:12<00:26, 1.37it/s]\n 30%|███ | 15/50 [00:13<00:25, 1.37it/s]\n 32%|███▏ | 16/50 [00:13<00:24, 1.37it/s]\n 34%|███▍ | 17/50 [00:14<00:24, 1.37it/s]\n 36%|███▌ | 18/50 [00:15<00:23, 1.37it/s]\n 38%|███▊ | 19/50 [00:16<00:22, 1.38it/s]\n 40%|████ | 20/50 [00:16<00:21, 1.38it/s]\n 42%|████▏ | 21/50 [00:17<00:21, 1.37it/s]\n 44%|████▍ | 22/50 [00:18<00:20, 1.38it/s]\n 46%|████▌ | 23/50 [00:18<00:19, 1.37it/s]\n 48%|████▊ | 24/50 [00:19<00:18, 1.37it/s]\n 50%|█████ | 25/50 [00:20<00:18, 1.37it/s]\n 52%|█████▏ | 26/50 [00:21<00:17, 1.37it/s]\n 54%|█████▍ | 27/50 [00:21<00:16, 1.37it/s]\n 56%|█████▌ | 28/50 [00:22<00:16, 1.37it/s]\n 58%|█████▊ | 29/50 [00:23<00:15, 1.37it/s]\n 60%|██████ | 30/50 [00:24<00:14, 1.37it/s]\n 62%|██████▏ | 31/50 [00:24<00:13, 1.37it/s]\n 64%|██████▍ | 32/50 [00:25<00:13, 1.37it/s]\n 66%|██████▌ | 33/50 [00:26<00:12, 1.37it/s]\n 68%|██████▊ | 34/50 [00:26<00:11, 1.37it/s]\n 70%|███████ | 35/50 [00:27<00:10, 1.37it/s]\n 72%|███████▏ | 36/50 [00:28<00:10, 1.37it/s]\n 74%|███████▍ | 37/50 [00:29<00:09, 1.37it/s]\n 76%|███████▌ | 38/50 [00:29<00:08, 1.37it/s]\n 78%|███████▊ | 39/50 [00:30<00:08, 1.37it/s]\n 80%|████████ | 40/50 [00:31<00:07, 1.37it/s]\n 82%|████████▏ | 41/50 [00:32<00:06, 1.37it/s]\n 84%|████████▍ | 42/50 [00:32<00:05, 1.37it/s]\n 86%|████████▌ | 43/50 [00:33<00:05, 1.37it/s]\n 88%|████████▊ | 44/50 [00:34<00:04, 1.37it/s]\n 90%|█████████ | 45/50 [00:35<00:03, 1.37it/s]\n 92%|█████████▏| 46/50 [00:35<00:02, 1.37it/s]\n 94%|█████████▍| 47/50 [00:36<00:02, 1.37it/s]\n 96%|█████████▌| 48/50 [00:37<00:01, 1.37it/s]\n 98%|█████████▊| 49/50 [00:37<00:00, 1.37it/s]\n100%|██████████| 50/50 [00:38<00:00, 1.36it/s]\n100%|██████████| 50/50 [00:38<00:00, 1.29it/s]",
"metrics": {
"predict_time": 48.040479,
"total_time": 586.157186
},
"output": "https://replicate.delivery/pbxt/qimyFL11jnb3F1WseOX0hCFcBxd2Y4s0ZW4fZVCV6chiudgSA/output_image.png",
"started_at": "2024-03-15T10:56:52.087063Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/smrkaylb3ouadd2pb7ngxqwv3i",
"cancel": "https://api.replicate.com/v1/predictions/smrkaylb3ouadd2pb7ngxqwv3i/cancel"
},
"version": "bfd1dedbb46545a191b3a42b5f3778d6c97fa6b6c0283de7d099403c05560b65"
}Generated in
0%| | 0/50 [00:00<?, ?it/s]
2%|▏ | 1/50 [00:02<02:25, 2.96s/it]
4%|▍ | 2/50 [00:03<01:18, 1.64s/it]
6%|▌ | 3/50 [00:04<00:57, 1.22s/it]
8%|▊ | 4/50 [00:05<00:47, 1.03s/it]
10%|█ | 5/50 [00:05<00:41, 1.09it/s]
12%|█▏ | 6/50 [00:06<00:37, 1.17it/s]
14%|█▍ | 7/50 [00:07<00:34, 1.23it/s]
16%|█▌ | 8/50 [00:08<00:33, 1.27it/s]
18%|█▊ | 9/50 [00:08<00:31, 1.30it/s]
20%|██ | 10/50 [00:09<00:30, 1.33it/s]
22%|██▏ | 11/50 [00:10<00:29, 1.34it/s]
24%|██▍ | 12/50 [00:10<00:28, 1.35it/s]
26%|██▌ | 13/50 [00:11<00:27, 1.36it/s]
28%|██▊ | 14/50 [00:12<00:26, 1.37it/s]
30%|███ | 15/50 [00:13<00:25, 1.37it/s]
32%|███▏ | 16/50 [00:13<00:24, 1.37it/s]
34%|███▍ | 17/50 [00:14<00:24, 1.37it/s]
36%|███▌ | 18/50 [00:15<00:23, 1.37it/s]
38%|███▊ | 19/50 [00:16<00:22, 1.38it/s]
40%|████ | 20/50 [00:16<00:21, 1.38it/s]
42%|████▏ | 21/50 [00:17<00:21, 1.37it/s]
44%|████▍ | 22/50 [00:18<00:20, 1.38it/s]
46%|████▌ | 23/50 [00:18<00:19, 1.37it/s]
48%|████▊ | 24/50 [00:19<00:18, 1.37it/s]
50%|█████ | 25/50 [00:20<00:18, 1.37it/s]
52%|█████▏ | 26/50 [00:21<00:17, 1.37it/s]
54%|█████▍ | 27/50 [00:21<00:16, 1.37it/s]
56%|█████▌ | 28/50 [00:22<00:16, 1.37it/s]
58%|█████▊ | 29/50 [00:23<00:15, 1.37it/s]
60%|██████ | 30/50 [00:24<00:14, 1.37it/s]
62%|██████▏ | 31/50 [00:24<00:13, 1.37it/s]
64%|██████▍ | 32/50 [00:25<00:13, 1.37it/s]
66%|██████▌ | 33/50 [00:26<00:12, 1.37it/s]
68%|██████▊ | 34/50 [00:26<00:11, 1.37it/s]
70%|███████ | 35/50 [00:27<00:10, 1.37it/s]
72%|███████▏ | 36/50 [00:28<00:10, 1.37it/s]
74%|███████▍ | 37/50 [00:29<00:09, 1.37it/s]
76%|███████▌ | 38/50 [00:29<00:08, 1.37it/s]
78%|███████▊ | 39/50 [00:30<00:08, 1.37it/s]
80%|████████ | 40/50 [00:31<00:07, 1.37it/s]
82%|████████▏ | 41/50 [00:32<00:06, 1.37it/s]
84%|████████▍ | 42/50 [00:32<00:05, 1.37it/s]
86%|████████▌ | 43/50 [00:33<00:05, 1.37it/s]
88%|████████▊ | 44/50 [00:34<00:04, 1.37it/s]
90%|█████████ | 45/50 [00:35<00:03, 1.37it/s]
92%|█████████▏| 46/50 [00:35<00:02, 1.37it/s]
94%|█████████▍| 47/50 [00:36<00:02, 1.37it/s]
96%|█████████▌| 48/50 [00:37<00:01, 1.37it/s]
98%|█████████▊| 49/50 [00:37<00:00, 1.37it/s]
100%|██████████| 50/50 [00:38<00:00, 1.36it/s]
100%|██████████| 50/50 [00:38<00:00, 1.29it/s]