Readme
This model doesn't have a readme.
Optimized model
Run this model in Node.js with one line of code:
npm install replicate
REPLICATE_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 aicapcut/blue-pencil-v600-optimized using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"aicapcut/blue-pencil-v600-optimized:fe75e8edeb469432311cb9854b82b66f9e57fb167586fa3c5a137766fbc87cad",
{
input: {
seed: 51036,
width: 1280,
height: 720,
prompt: "urban, evening, streetlights, bustling, emotional reunion, youth, nostalgia, tension, affection, subtle romance, warm lighting, intimate moments, unspoken feelings, dynamic characters, soft shadows, city street, sunset, traffic lights, luggage, smoking, exhaustion, casual encounter, childhood friends, emotional distance, awkwardness, snack bag, college atmosphere, text messages, concern, protective gesture, two young man",
strength: 0.7,
scheduler: "K_EULER",
lora_scale: 0.6,
num_outputs: 4,
guidance_scale: 6,
negative_prompt: "text",
num_inference_steps: 40
}
}
);
// 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 replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import replicate
Run aicapcut/blue-pencil-v600-optimized using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"aicapcut/blue-pencil-v600-optimized:fe75e8edeb469432311cb9854b82b66f9e57fb167586fa3c5a137766fbc87cad",
input={
"seed": 51036,
"width": 1280,
"height": 720,
"prompt": "urban, evening, streetlights, bustling, emotional reunion, youth, nostalgia, tension, affection, subtle romance, warm lighting, intimate moments, unspoken feelings, dynamic characters, soft shadows, city street, sunset, traffic lights, luggage, smoking, exhaustion, casual encounter, childhood friends, emotional distance, awkwardness, snack bag, college atmosphere, text messages, concern, protective gesture, two young man",
"strength": 0.7,
"scheduler": "K_EULER",
"lora_scale": 0.6,
"num_outputs": 4,
"guidance_scale": 6,
"negative_prompt": "text",
"num_inference_steps": 40
}
)
print(output)
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 aicapcut/blue-pencil-v600-optimized 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": "aicapcut/blue-pencil-v600-optimized:fe75e8edeb469432311cb9854b82b66f9e57fb167586fa3c5a137766fbc87cad",
"input": {
"seed": 51036,
"width": 1280,
"height": 720,
"prompt": "urban, evening, streetlights, bustling, emotional reunion, youth, nostalgia, tension, affection, subtle romance, warm lighting, intimate moments, unspoken feelings, dynamic characters, soft shadows, city street, sunset, traffic lights, luggage, smoking, exhaustion, casual encounter, childhood friends, emotional distance, awkwardness, snack bag, college atmosphere, text messages, concern, protective gesture, two young man",
"strength": 0.7,
"scheduler": "K_EULER",
"lora_scale": 0.6,
"num_outputs": 4,
"guidance_scale": 6,
"negative_prompt": "text",
"num_inference_steps": 40
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
brew install cog
If 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/aicapcut/blue-pencil-v600-optimized@sha256:fe75e8edeb469432311cb9854b82b66f9e57fb167586fa3c5a137766fbc87cad \
-i 'seed=51036' \
-i 'width=1280' \
-i 'height=720' \
-i 'prompt="urban, evening, streetlights, bustling, emotional reunion, youth, nostalgia, tension, affection, subtle romance, warm lighting, intimate moments, unspoken feelings, dynamic characters, soft shadows, city street, sunset, traffic lights, luggage, smoking, exhaustion, casual encounter, childhood friends, emotional distance, awkwardness, snack bag, college atmosphere, text messages, concern, protective gesture, two young man"' \
-i 'strength=0.7' \
-i 'scheduler="K_EULER"' \
-i 'lora_scale=0.6' \
-i 'num_outputs=4' \
-i 'guidance_scale=6' \
-i 'negative_prompt="text"' \
-i 'num_inference_steps=40'
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/aicapcut/blue-pencil-v600-optimized@sha256:fe75e8edeb469432311cb9854b82b66f9e57fb167586fa3c5a137766fbc87cad
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "seed": 51036, "width": 1280, "height": 720, "prompt": "urban, evening, streetlights, bustling, emotional reunion, youth, nostalgia, tension, affection, subtle romance, warm lighting, intimate moments, unspoken feelings, dynamic characters, soft shadows, city street, sunset, traffic lights, luggage, smoking, exhaustion, casual encounter, childhood friends, emotional distance, awkwardness, snack bag, college atmosphere, text messages, concern, protective gesture, two young man", "strength": 0.7, "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 4, "guidance_scale": 6, "negative_prompt": "text", "num_inference_steps": 40 } }' \ 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 $0.084. Alternatively, try out our featured models for free.
By signing in, you agree to our
terms of service and privacy policy
{
"completed_at": "2024-05-03T23:07:34.071058Z",
"created_at": "2024-05-03T23:04:33.933000Z",
"data_removed": false,
"error": null,
"id": "dedgpjy3hnrgg0cf82srhbypk4",
"input": {
"seed": 51036,
"width": 1280,
"height": 720,
"prompt": "urban, evening, streetlights, bustling, emotional reunion, youth, nostalgia, tension, affection, subtle romance, warm lighting, intimate moments, unspoken feelings, dynamic characters, soft shadows, city street, sunset, traffic lights, luggage, smoking, exhaustion, casual encounter, childhood friends, emotional distance, awkwardness, snack bag, college atmosphere, text messages, concern, protective gesture, two young man",
"strength": 0.7,
"scheduler": "K_EULER",
"lora_scale": 0.6,
"num_outputs": 4,
"guidance_scale": 6,
"negative_prompt": "text",
"num_inference_steps": 40
},
"logs": "Using seed: 51036\nPrompt: urban, evening, streetlights, bustling, emotional reunion, youth, nostalgia, tension, affection, subtle romance, warm lighting, intimate moments, unspoken feelings, dynamic characters, soft shadows, city street, sunset, traffic lights, luggage, smoking, exhaustion, casual encounter, childhood friends, emotional distance, awkwardness, snack bag, college atmosphere, text messages, concern, protective gesture, two young man\ntxt2img mode\ninterval 3 bid 5\nToken indices sequence length is longer than the specified maximum sequence length for this model (85 > 77). Running this sequence through the model will result in indexing errors\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['concern, protective gesture, two young man', 'concern, protective gesture, two young man', 'concern, protective gesture, two young man', 'concern, protective gesture, two young man']\nToken indices sequence length is longer than the specified maximum sequence length for this model (85 > 77). Running this sequence through the model will result in indexing errors\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['concern, protective gesture, two young man', 'concern, protective gesture, two young man', 'concern, protective gesture, two young man', 'concern, protective gesture, two young man']\n 0%| | 0/40 [00:00<?, ?it/s]\n 2%|▎ | 1/40 [00:00<00:34, 1.14it/s]\n 5%|▌ | 2/40 [00:01<00:18, 2.06it/s]\n 8%|▊ | 3/40 [00:01<00:13, 2.78it/s]\n 10%|█ | 4/40 [00:01<00:16, 2.13it/s]\n 12%|█▎ | 5/40 [00:02<00:13, 2.66it/s]\n 15%|█▌ | 6/40 [00:02<00:10, 3.12it/s]\n 18%|█▊ | 7/40 [00:02<00:14, 2.36it/s]\n 20%|██ | 8/40 [00:03<00:11, 2.80it/s]\n 22%|██▎ | 9/40 [00:03<00:09, 3.21it/s]\n 25%|██▌ | 10/40 [00:04<00:12, 2.42it/s]\n 28%|██▊ | 11/40 [00:04<00:10, 2.85it/s]\n 30%|███ | 12/40 [00:04<00:08, 3.24it/s]\n 32%|███▎ | 13/40 [00:05<00:11, 2.44it/s]\n 35%|███▌ | 14/40 [00:05<00:09, 2.86it/s]\n 38%|███▊ | 15/40 [00:05<00:07, 3.24it/s]\n 40%|████ | 16/40 [00:06<00:09, 2.45it/s]\n 42%|████▎ | 17/40 [00:06<00:08, 2.86it/s]\n 45%|████▌ | 18/40 [00:06<00:06, 3.24it/s]\n 48%|████▊ | 19/40 [00:07<00:08, 2.44it/s]\n 50%|█████ | 20/40 [00:07<00:07, 2.85it/s]\n 52%|█████▎ | 21/40 [00:07<00:05, 3.23it/s]\n 55%|█████▌ | 22/40 [00:08<00:07, 2.44it/s]\n 57%|█████▊ | 23/40 [00:08<00:05, 2.85it/s]\n 60%|██████ | 24/40 [00:08<00:04, 3.23it/s]\n 62%|██████▎ | 25/40 [00:09<00:06, 2.44it/s]\n 65%|██████▌ | 26/40 [00:09<00:04, 2.85it/s]\n 68%|██████▊ | 27/40 [00:09<00:04, 3.23it/s]\n 70%|███████ | 28/40 [00:10<00:04, 2.44it/s]\n 72%|███████▎ | 29/40 [00:10<00:03, 2.85it/s]\n 75%|███████▌ | 30/40 [00:10<00:03, 3.23it/s]\n 78%|███████▊ | 31/40 [00:11<00:03, 2.44it/s]\n 80%|████████ | 32/40 [00:11<00:02, 2.84it/s]\n 82%|████████▎ | 33/40 [00:11<00:02, 3.22it/s]\n 85%|████████▌ | 34/40 [00:12<00:02, 2.43it/s]\n 88%|████████▊ | 35/40 [00:12<00:01, 2.84it/s]\n 90%|█████████ | 36/40 [00:13<00:01, 3.22it/s]\n 92%|█████████▎| 37/40 [00:13<00:01, 2.44it/s]\n 95%|█████████▌| 38/40 [00:13<00:00, 2.85it/s]\n 98%|█████████▊| 39/40 [00:14<00:00, 3.23it/s]\n100%|██████████| 40/40 [00:14<00:00, 2.45it/s]\n100%|██████████| 40/40 [00:14<00:00, 2.71it/s]",
"metrics": {
"predict_time": 20.631328,
"total_time": 180.138058
},
"output": [
"https://replicate.delivery/pbxt/H9P7TKJ1ftRLPyyjNWteZOJFf6G7YqclMArre2qLfnYfMgMsE/out-0.png",
"https://replicate.delivery/pbxt/gPlRmffoFeb7wJ89wI0J9strrmVTnqM9YjbAAT5eHDFTDIDLB/out-1.png",
"https://replicate.delivery/pbxt/T3WSQNNl2F7cBF084Ufz0tYMGsFHlE81E7Re0HdoIEfqBkhlA/out-2.png",
"https://replicate.delivery/pbxt/w80eqdezaAugeJlsLEfTIIffYb4rGArodCb3lkgF9CBUNgMsE/out-3.png"
],
"started_at": "2024-05-03T23:07:13.439730Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/dedgpjy3hnrgg0cf82srhbypk4",
"cancel": "https://api.replicate.com/v1/predictions/dedgpjy3hnrgg0cf82srhbypk4/cancel"
},
"version": "fe75e8edeb469432311cb9854b82b66f9e57fb167586fa3c5a137766fbc87cad"
}
Using seed: 51036
Prompt: urban, evening, streetlights, bustling, emotional reunion, youth, nostalgia, tension, affection, subtle romance, warm lighting, intimate moments, unspoken feelings, dynamic characters, soft shadows, city street, sunset, traffic lights, luggage, smoking, exhaustion, casual encounter, childhood friends, emotional distance, awkwardness, snack bag, college atmosphere, text messages, concern, protective gesture, two young man
txt2img mode
interval 3 bid 5
Token indices sequence length is longer than the specified maximum sequence length for this model (85 > 77). Running this sequence through the model will result in indexing errors
The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['concern, protective gesture, two young man', 'concern, protective gesture, two young man', 'concern, protective gesture, two young man', 'concern, protective gesture, two young man']
Token indices sequence length is longer than the specified maximum sequence length for this model (85 > 77). Running this sequence through the model will result in indexing errors
The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['concern, protective gesture, two young man', 'concern, protective gesture, two young man', 'concern, protective gesture, two young man', 'concern, protective gesture, two young man']
0%| | 0/40 [00:00<?, ?it/s]
2%|▎ | 1/40 [00:00<00:34, 1.14it/s]
5%|▌ | 2/40 [00:01<00:18, 2.06it/s]
8%|▊ | 3/40 [00:01<00:13, 2.78it/s]
10%|█ | 4/40 [00:01<00:16, 2.13it/s]
12%|█▎ | 5/40 [00:02<00:13, 2.66it/s]
15%|█▌ | 6/40 [00:02<00:10, 3.12it/s]
18%|█▊ | 7/40 [00:02<00:14, 2.36it/s]
20%|██ | 8/40 [00:03<00:11, 2.80it/s]
22%|██▎ | 9/40 [00:03<00:09, 3.21it/s]
25%|██▌ | 10/40 [00:04<00:12, 2.42it/s]
28%|██▊ | 11/40 [00:04<00:10, 2.85it/s]
30%|███ | 12/40 [00:04<00:08, 3.24it/s]
32%|███▎ | 13/40 [00:05<00:11, 2.44it/s]
35%|███▌ | 14/40 [00:05<00:09, 2.86it/s]
38%|███▊ | 15/40 [00:05<00:07, 3.24it/s]
40%|████ | 16/40 [00:06<00:09, 2.45it/s]
42%|████▎ | 17/40 [00:06<00:08, 2.86it/s]
45%|████▌ | 18/40 [00:06<00:06, 3.24it/s]
48%|████▊ | 19/40 [00:07<00:08, 2.44it/s]
50%|█████ | 20/40 [00:07<00:07, 2.85it/s]
52%|█████▎ | 21/40 [00:07<00:05, 3.23it/s]
55%|█████▌ | 22/40 [00:08<00:07, 2.44it/s]
57%|█████▊ | 23/40 [00:08<00:05, 2.85it/s]
60%|██████ | 24/40 [00:08<00:04, 3.23it/s]
62%|██████▎ | 25/40 [00:09<00:06, 2.44it/s]
65%|██████▌ | 26/40 [00:09<00:04, 2.85it/s]
68%|██████▊ | 27/40 [00:09<00:04, 3.23it/s]
70%|███████ | 28/40 [00:10<00:04, 2.44it/s]
72%|███████▎ | 29/40 [00:10<00:03, 2.85it/s]
75%|███████▌ | 30/40 [00:10<00:03, 3.23it/s]
78%|███████▊ | 31/40 [00:11<00:03, 2.44it/s]
80%|████████ | 32/40 [00:11<00:02, 2.84it/s]
82%|████████▎ | 33/40 [00:11<00:02, 3.22it/s]
85%|████████▌ | 34/40 [00:12<00:02, 2.43it/s]
88%|████████▊ | 35/40 [00:12<00:01, 2.84it/s]
90%|█████████ | 36/40 [00:13<00:01, 3.22it/s]
92%|█████████▎| 37/40 [00:13<00:01, 2.44it/s]
95%|█████████▌| 38/40 [00:13<00:00, 2.85it/s]
98%|█████████▊| 39/40 [00:14<00:00, 3.23it/s]
100%|██████████| 40/40 [00:14<00:00, 2.45it/s]
100%|██████████| 40/40 [00:14<00:00, 2.71it/s]
This model costs approximately $0.084 to run on Replicate, or 11 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 L40S GPU hardware. Predictions typically complete within 87 seconds. The predict time for this model varies significantly based on the inputs.
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 costs approximately $0.084 to run on Replicate, but this varies depending on your inputs. View more.
Choose a file from your machine
Hint: you can also drag files onto the input
Choose a file from your machine
Hint: you can also drag files onto the input
Using seed: 51036
Prompt: urban, evening, streetlights, bustling, emotional reunion, youth, nostalgia, tension, affection, subtle romance, warm lighting, intimate moments, unspoken feelings, dynamic characters, soft shadows, city street, sunset, traffic lights, luggage, smoking, exhaustion, casual encounter, childhood friends, emotional distance, awkwardness, snack bag, college atmosphere, text messages, concern, protective gesture, two young man
txt2img mode
interval 3 bid 5
Token indices sequence length is longer than the specified maximum sequence length for this model (85 > 77). Running this sequence through the model will result in indexing errors
The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['concern, protective gesture, two young man', 'concern, protective gesture, two young man', 'concern, protective gesture, two young man', 'concern, protective gesture, two young man']
Token indices sequence length is longer than the specified maximum sequence length for this model (85 > 77). Running this sequence through the model will result in indexing errors
The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['concern, protective gesture, two young man', 'concern, protective gesture, two young man', 'concern, protective gesture, two young man', 'concern, protective gesture, two young man']
0%| | 0/40 [00:00<?, ?it/s]
2%|▎ | 1/40 [00:00<00:34, 1.14it/s]
5%|▌ | 2/40 [00:01<00:18, 2.06it/s]
8%|▊ | 3/40 [00:01<00:13, 2.78it/s]
10%|█ | 4/40 [00:01<00:16, 2.13it/s]
12%|█▎ | 5/40 [00:02<00:13, 2.66it/s]
15%|█▌ | 6/40 [00:02<00:10, 3.12it/s]
18%|█▊ | 7/40 [00:02<00:14, 2.36it/s]
20%|██ | 8/40 [00:03<00:11, 2.80it/s]
22%|██▎ | 9/40 [00:03<00:09, 3.21it/s]
25%|██▌ | 10/40 [00:04<00:12, 2.42it/s]
28%|██▊ | 11/40 [00:04<00:10, 2.85it/s]
30%|███ | 12/40 [00:04<00:08, 3.24it/s]
32%|███▎ | 13/40 [00:05<00:11, 2.44it/s]
35%|███▌ | 14/40 [00:05<00:09, 2.86it/s]
38%|███▊ | 15/40 [00:05<00:07, 3.24it/s]
40%|████ | 16/40 [00:06<00:09, 2.45it/s]
42%|████▎ | 17/40 [00:06<00:08, 2.86it/s]
45%|████▌ | 18/40 [00:06<00:06, 3.24it/s]
48%|████▊ | 19/40 [00:07<00:08, 2.44it/s]
50%|█████ | 20/40 [00:07<00:07, 2.85it/s]
52%|█████▎ | 21/40 [00:07<00:05, 3.23it/s]
55%|█████▌ | 22/40 [00:08<00:07, 2.44it/s]
57%|█████▊ | 23/40 [00:08<00:05, 2.85it/s]
60%|██████ | 24/40 [00:08<00:04, 3.23it/s]
62%|██████▎ | 25/40 [00:09<00:06, 2.44it/s]
65%|██████▌ | 26/40 [00:09<00:04, 2.85it/s]
68%|██████▊ | 27/40 [00:09<00:04, 3.23it/s]
70%|███████ | 28/40 [00:10<00:04, 2.44it/s]
72%|███████▎ | 29/40 [00:10<00:03, 2.85it/s]
75%|███████▌ | 30/40 [00:10<00:03, 3.23it/s]
78%|███████▊ | 31/40 [00:11<00:03, 2.44it/s]
80%|████████ | 32/40 [00:11<00:02, 2.84it/s]
82%|████████▎ | 33/40 [00:11<00:02, 3.22it/s]
85%|████████▌ | 34/40 [00:12<00:02, 2.43it/s]
88%|████████▊ | 35/40 [00:12<00:01, 2.84it/s]
90%|█████████ | 36/40 [00:13<00:01, 3.22it/s]
92%|█████████▎| 37/40 [00:13<00:01, 2.44it/s]
95%|█████████▌| 38/40 [00:13<00:00, 2.85it/s]
98%|█████████▊| 39/40 [00:14<00:00, 3.23it/s]
100%|██████████| 40/40 [00:14<00:00, 2.45it/s]
100%|██████████| 40/40 [00:14<00:00, 2.71it/s]