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adirik /t2i-adapter-sdxl-depth-midas:32638013
This version is disabled.
This version has been disabled because it consistently fails to complete setup.
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=adirik/t2i-adapter-sdxl-depth-midas
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 adirik/t2i-adapter-sdxl-depth-midas using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"adirik/t2i-adapter-sdxl-depth-midas:3263801326d7bf368327b89980371f634086e6bbbf734d9a2943cb516dd8209d",
{
input: {
image: "https://replicate.delivery/pbxt/JbnAzlvH84NR20HgqUdfnLlMMwwiU8Fv5N3FSjcRXPH6kmmu/org_mid.jpg",
prompt: "A photo of a room, 4k photo, highly detailed",
scheduler: "K_EULER_ANCESTRAL",
num_samples: 1,
guidance_scale: 7.5,
negative_prompt: "anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, deformed, mutated, ugly, disfigured",
num_inference_steps: 30,
adapter_conditioning_scale: 1,
adapter_conditioning_factor: 1
}
}
);
// 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 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 adirik/t2i-adapter-sdxl-depth-midas using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"adirik/t2i-adapter-sdxl-depth-midas:3263801326d7bf368327b89980371f634086e6bbbf734d9a2943cb516dd8209d",
input={
"image": "https://replicate.delivery/pbxt/JbnAzlvH84NR20HgqUdfnLlMMwwiU8Fv5N3FSjcRXPH6kmmu/org_mid.jpg",
"prompt": "A photo of a room, 4k photo, highly detailed",
"scheduler": "K_EULER_ANCESTRAL",
"num_samples": 1,
"guidance_scale": 7.5,
"negative_prompt": "anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, deformed, mutated, ugly, disfigured",
"num_inference_steps": 30,
"adapter_conditioning_scale": 1,
"adapter_conditioning_factor": 1
}
)
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 adirik/t2i-adapter-sdxl-depth-midas 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": "adirik/t2i-adapter-sdxl-depth-midas:3263801326d7bf368327b89980371f634086e6bbbf734d9a2943cb516dd8209d",
"input": {
"image": "https://replicate.delivery/pbxt/JbnAzlvH84NR20HgqUdfnLlMMwwiU8Fv5N3FSjcRXPH6kmmu/org_mid.jpg",
"prompt": "A photo of a room, 4k photo, highly detailed",
"scheduler": "K_EULER_ANCESTRAL",
"num_samples": 1,
"guidance_scale": 7.5,
"negative_prompt": "anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, deformed, mutated, ugly, disfigured",
"num_inference_steps": 30,
"adapter_conditioning_scale": 1,
"adapter_conditioning_factor": 1
}
}' \
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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terms of service and privacy policy
Output
{
"completed_at": "2023-10-03T18:23:59.395638Z",
"created_at": "2023-10-03T18:21:38.642699Z",
"data_removed": false,
"error": null,
"id": "xxu6o73bni3qrucb7vh6ect4oi",
"input": {
"image": "https://replicate.delivery/pbxt/JbnAzlvH84NR20HgqUdfnLlMMwwiU8Fv5N3FSjcRXPH6kmmu/org_mid.jpg",
"prompt": "A photo of a room, 4k photo, highly detailed",
"scheduler": "K_EULER_ANCESTRAL",
"num_samples": 1,
"guidance_scale": 7.5,
"negative_prompt": "anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, deformed, mutated, ugly, disfigured",
"num_inference_steps": 30,
"adapter_conditioning_scale": 1,
"adapter_conditioning_factor": 1
},
"logs": "0%| | 0/30 [00:00<?, ?it/s]\n 3%|▎ | 1/30 [00:00<00:05, 5.32it/s]\n 7%|▋ | 2/30 [00:00<00:07, 3.76it/s]\n 10%|█ | 3/30 [00:00<00:07, 3.43it/s]\n 13%|█▎ | 4/30 [00:01<00:07, 3.29it/s]\n 17%|█▋ | 5/30 [00:01<00:07, 3.21it/s]\n 20%|██ | 6/30 [00:01<00:07, 3.17it/s]\n 23%|██▎ | 7/30 [00:02<00:07, 3.14it/s]\n 27%|██▋ | 8/30 [00:02<00:07, 3.12it/s]\n 30%|███ | 9/30 [00:02<00:06, 3.11it/s]\n 33%|███▎ | 10/30 [00:03<00:06, 3.10it/s]\n 37%|███▋ | 11/30 [00:03<00:06, 3.09it/s]\n 40%|████ | 12/30 [00:03<00:05, 3.09it/s]\n 43%|████▎ | 13/30 [00:04<00:05, 3.09it/s]\n 47%|████▋ | 14/30 [00:04<00:05, 3.08it/s]\n 50%|█████ | 15/30 [00:04<00:04, 3.08it/s]\n 53%|█████▎ | 16/30 [00:05<00:04, 3.08it/s]\n 57%|█████▋ | 17/30 [00:05<00:04, 3.08it/s]\n 60%|██████ | 18/30 [00:05<00:03, 3.08it/s]\n 63%|██████▎ | 19/30 [00:06<00:03, 3.08it/s]\n 67%|██████▋ | 20/30 [00:06<00:03, 3.07it/s]\n 70%|███████ | 21/30 [00:06<00:02, 3.07it/s]\n 73%|███████▎ | 22/30 [00:07<00:02, 3.07it/s]\n 77%|███████▋ | 23/30 [00:07<00:02, 3.07it/s]\n 80%|████████ | 24/30 [00:07<00:01, 3.07it/s]\n 83%|████████▎ | 25/30 [00:07<00:01, 3.07it/s]\n 87%|████████▋ | 26/30 [00:08<00:01, 3.07it/s]\n 90%|█████████ | 27/30 [00:08<00:00, 3.07it/s]\n 93%|█████████▎| 28/30 [00:08<00:00, 3.07it/s]\n 97%|█████████▋| 29/30 [00:09<00:00, 3.07it/s]\n100%|██████████| 30/30 [00:09<00:00, 3.07it/s]\n100%|██████████| 30/30 [00:09<00:00, 3.12it/s]",
"metrics": {
"predict_time": 14.094359,
"total_time": 140.752939
},
"output": [
"https://pbxt.replicate.delivery/ZgXuoCSFdiYffUaQY06W2nrdaR0uw28el95sIgYffjbzHHUNC/out-preprocessed.png",
"https://pbxt.replicate.delivery/jR6ZtGztysLkJxhSeGHWu25iu9GfopTWIAeb6GSdr5K8xBVjA/out-0.png"
],
"started_at": "2023-10-03T18:23:45.301279Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/xxu6o73bni3qrucb7vh6ect4oi",
"cancel": "https://api.replicate.com/v1/predictions/xxu6o73bni3qrucb7vh6ect4oi/cancel"
},
"version": "3263801326d7bf368327b89980371f634086e6bbbf734d9a2943cb516dd8209d"
}Generated in
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