Versions
2af375da
Latest
d39881d9
888c72d6
04c76908
c1fca4be
cb2da7da
7b7516e5
aeefb0ed
e6f553d2
78f9b32f
292f6cf8
d24ece1d
f9aa9bc4
e0b50cb5
1f17b02a
ee5b034a
001b06ea
71b9ef81
f025cf21
3890b8ef
cc61c23e
f7dd7c13
6a52ed06
707e030f
1e76cce6
5271043d
ff9385c3
fd743fcf
ab54079a
7fe0a746
fd77461b
52aa777b
11017059
92cdac0f
dd9bb5e3
f5305519
11e7f816
2cbfe7a2
cd02725c
e263d0f5
You're looking at a specific version of this model. Jump to the model overview.
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=kuprel/min-dalle
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 kuprel/min-dalle using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"kuprel/min-dalle:c1fca4bef52afc0c3a556060df13d7d7c429a1310feeedbb5c3f92b7002822de",
{
input: {
text: "Photo realistic render, 8K UHD, trending on artstation: (subject= dieselpunk Building + subject detail= high detailed, high level texture render) + ( background = deepsea+ background detail = calm water, sunset, high detailed, large depth of field)",
top_k: 16384,
seamless: false,
grid_size: 3,
save_as_png: false,
temperature: 0.31,
progressive_outputs: true,
supercondition_factor: 32
}
}
);
// 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 kuprel/min-dalle using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"kuprel/min-dalle:c1fca4bef52afc0c3a556060df13d7d7c429a1310feeedbb5c3f92b7002822de",
input={
"text": "Photo realistic render, 8K UHD, trending on artstation: (subject= dieselpunk Building + subject detail= high detailed, high level texture render) + ( background = deepsea+ background detail = calm water, sunset, high detailed, large depth of field)",
"top_k": 16384,
"seamless": False,
"grid_size": 3,
"save_as_png": False,
"temperature": 0.31,
"progressive_outputs": True,
"supercondition_factor": 32
}
)
# The kuprel/min-dalle model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
# https://replicate.com/kuprel/min-dalle/api#output-schema
print(item)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 kuprel/min-dalle 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": "kuprel/min-dalle:c1fca4bef52afc0c3a556060df13d7d7c429a1310feeedbb5c3f92b7002822de",
"input": {
"text": "Photo realistic render, 8K UHD, trending on artstation: (subject= dieselpunk Building + subject detail= high detailed, high level texture render) + ( background = deepsea+ background detail = calm water, sunset, high detailed, large depth of field)",
"top_k": 16384,
"seamless": false,
"grid_size": 3,
"save_as_png": false,
"temperature": 0.31,
"progressive_outputs": true,
"supercondition_factor": 32
}
}' \
https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
You can run this model locally using Cog. First, install Cog:
brew install cogIf you don’t have Homebrew, there are other installation options available.
Run this to download the model and run it in your local environment:
cog predict r8.im/kuprel/min-dalle@sha256:c1fca4bef52afc0c3a556060df13d7d7c429a1310feeedbb5c3f92b7002822de \
-i 'text="Photo realistic render, 8K UHD, trending on artstation: (subject= dieselpunk Building + subject detail= high detailed, high level texture render) + ( background = deepsea+ background detail = calm water, sunset, high detailed, large depth of field)"' \
-i 'top_k=16384' \
-i 'seamless=false' \
-i 'grid_size=3' \
-i 'save_as_png=false' \
-i 'temperature=0.31' \
-i 'progressive_outputs=true' \
-i 'supercondition_factor=32'To learn more, take a look at the Cog documentation.
Run this to download the model and run it in your local environment:
docker run -d -p 5000:5000 --gpus=all r8.im/kuprel/min-dalle@sha256:c1fca4bef52afc0c3a556060df13d7d7c429a1310feeedbb5c3f92b7002822decurl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "text": "Photo realistic render, 8K UHD, trending on artstation: (subject= dieselpunk Building + subject detail= high detailed, high level texture render) + ( background = deepsea+ background detail = calm water, sunset, high detailed, large depth of field)", "top_k": 16384, "seamless": false, "grid_size": 3, "save_as_png": false, "temperature": 0.31, "progressive_outputs": true, "supercondition_factor": 32 } }' \ http://localhost:5000/predictions
To learn more, take a look at the Cog documentation.
Add a payment method to run this model.
Each run costs approximately $0.036. Alternatively, try out our featured models for free.
Sign in with GitHub
By signing in, you agree to our
terms of service and privacy policy
Output
{
"completed_at": "2022-07-20T14:48:12.070276Z",
"created_at": "2022-07-20T14:47:57.505235Z",
"data_removed": false,
"error": null,
"id": "65tuaoyirfak3pqxpmz2kmy75q",
"input": {
"text": "Photo realistic render, 8K UHD, trending on artstation: (subject= dieselpunk Building + subject detail= high detailed, high level texture render) + ( background = deepsea+ background detail = calm water, sunset, high detailed, large depth of field)",
"top_k": "16384",
"grid_size": "3",
"temperature": "0.31",
"progressive_outputs": true,
"supercondition_factor": "32"
},
"logs": "tokenizing text\n['Ġphoto']\n['Ġrealistic']\n['Ġrender', ',']\n['Ġ8', 'k']\n['Ġuhd', ',']\n['Ġtrending']\n['Ġon']\n['Ġartstation', ':']\n['Ġ', '(', 'sub', 'ject', '=']\n['Ġdiesel', 'punk']\n['Ġbuilding']\n['Ġ', '+']\n['Ġsubject']\n['Ġdetail', '=']\n['Ġhigh']\n['Ġdetailed', ',']\n['Ġhigh']\n['Ġlevel']\n['Ġtexture']\n['Ġrender', ')']\n['Ġ', '+']\n['Ġ', '(']\n['Ġbackground']\n['Ġ', '=']\n['Ġdeep', 'sea', '+']\n['Ġbackground']\n['Ġdetail']\n['Ġ', '=']\n['Ġcalm']\n['Ġwater', ',']\n['Ġsunset', ',']\n['Ġhigh']\n['Ġdetailed', ',']\n['Ġlarge']\n['Ġdepth']\n['Ġof']\n['Ġfield', ')']\n62 text tokens [0, 564, 10573, 14110, 11, 416, 38, 20531, 11, 10119, 133, 4640, 3, 54, 3, 45878, 836, 3, 6070, 14958, 1855, 54, 3, 11398, 5854, 3, 524, 8461, 11, 524, 3220, 7141, 14110, 3, 54, 3, 54, 3, 1396, 54, 3, 2720, 4506, 3, 1396, 5854, 54, 3, 6653, 725, 11, 4450, 11, 524, 8461, 11, 2033, 10162, 111, 2851, 3, 2]\nencoding text tokens\ndetokenizing image\ndetokenizing image\ndetokenizing image\ndetokenizing image\ndetokenizing image\ndetokenizing image\ndetokenizing image\ndetokenizing image",
"metrics": {
"predict_time": 14.406796,
"total_time": 14.565041
},
"output": [
"https://replicate.delivery/mgxm/7eb02ed0-098d-4a73-b795-7cf7bd41bc42/photo-realistic-render-k-uhd-trending-on-artstation-subject.jpg",
"https://replicate.delivery/mgxm/8431758a-f38f-4c0e-a1db-ed0262ee77bb/photo-realistic-render-k-uhd-trending-on-artstation-subject.jpg",
"https://replicate.delivery/mgxm/b8e33e64-39ce-4f4d-9291-9a46a541407b/photo-realistic-render-k-uhd-trending-on-artstation-subject.jpg",
"https://replicate.delivery/mgxm/76bc27b7-cb5c-4a93-95b7-06bc2b89d767/photo-realistic-render-k-uhd-trending-on-artstation-subject.jpg",
"https://replicate.delivery/mgxm/31734fe7-3044-4d27-91b7-82c16e03802f/photo-realistic-render-k-uhd-trending-on-artstation-subject.jpg",
"https://replicate.delivery/mgxm/a6e3581a-ebb7-471a-bc25-3e96f0cd403f/photo-realistic-render-k-uhd-trending-on-artstation-subject.jpg",
"https://replicate.delivery/mgxm/18752def-0534-49ef-8e30-8594b4f341cc/photo-realistic-render-k-uhd-trending-on-artstation-subject.jpg",
"https://replicate.delivery/mgxm/ae803d6f-54b5-4847-a07f-d938a796e4f2/photo-realistic-render-k-uhd-trending-on-artstation-subject.jpg"
],
"started_at": "2022-07-20T14:47:57.663480Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/65tuaoyirfak3pqxpmz2kmy75q",
"cancel": "https://api.replicate.com/v1/predictions/65tuaoyirfak3pqxpmz2kmy75q/cancel"
},
"version": "c1fca4bef52afc0c3a556060df13d7d7c429a1310feeedbb5c3f92b7002822de"
}Generated in
tokenizing text
['Ġphoto']
['Ġrealistic']
['Ġrender', ',']
['Ġ8', 'k']
['Ġuhd', ',']
['Ġtrending']
['Ġon']
['Ġartstation', ':']
['Ġ', '(', 'sub', 'ject', '=']
['Ġdiesel', 'punk']
['Ġbuilding']
['Ġ', '+']
['Ġsubject']
['Ġdetail', '=']
['Ġhigh']
['Ġdetailed', ',']
['Ġhigh']
['Ġlevel']
['Ġtexture']
['Ġrender', ')']
['Ġ', '+']
['Ġ', '(']
['Ġbackground']
['Ġ', '=']
['Ġdeep', 'sea', '+']
['Ġbackground']
['Ġdetail']
['Ġ', '=']
['Ġcalm']
['Ġwater', ',']
['Ġsunset', ',']
['Ġhigh']
['Ġdetailed', ',']
['Ġlarge']
['Ġdepth']
['Ġof']
['Ġfield', ')']
62 text tokens [0, 564, 10573, 14110, 11, 416, 38, 20531, 11, 10119, 133, 4640, 3, 54, 3, 45878, 836, 3, 6070, 14958, 1855, 54, 3, 11398, 5854, 3, 524, 8461, 11, 524, 3220, 7141, 14110, 3, 54, 3, 54, 3, 1396, 54, 3, 2720, 4506, 3, 1396, 5854, 54, 3, 6653, 725, 11, 4450, 11, 524, 8461, 11, 2033, 10162, 111, 2851, 3, 2]
encoding text tokens
detokenizing image
detokenizing image
detokenizing image
detokenizing image
detokenizing image
detokenizing image
detokenizing image
detokenizing image