Readme
This model doesn't have a readme.
(Updated 2 months, 4 weeks ago)
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 philipanheuser/philip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"philipanheuser/philip:2802a578d700de45656be662162f336e9f5992b8f329c930e2ef4be6835f4c5c",
{
input: {
model: "dev",
prompt: "Philip in a light blue shirt, sleeves rolled up to the elbows, standing and leaning on a large wooden meeting table with both hands, looking seriously into the camera, modern meeting room with clean lines, glass walls, minimalistic furniture, soft natural light entering through floor-to-ceiling windows, only notebooks and water glasses on the table, candid and documentary feel, slightly desaturated tones, visible muscle tension in forearms, natural skin texture, slight imperfections, subtle stubble, muted background activity, handheld shot with off-center framing, soft depth of field, slight motion blur in background, ISO 400, Canon EOS R5, 50mm f/1.2 lens, warm daylight, light film grain, in the style of Peter Lindbergh\n",
go_fast: false,
lora_scale: 1,
megapixels: "1",
num_outputs: 1,
aspect_ratio: "1:1",
output_format: "png",
guidance_scale: 3,
output_quality: 80,
prompt_strength: 0.8,
extra_lora_scale: 1,
num_inference_steps: 28
}
}
);
// 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 philipanheuser/philip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"philipanheuser/philip:2802a578d700de45656be662162f336e9f5992b8f329c930e2ef4be6835f4c5c",
input={
"model": "dev",
"prompt": "Philip in a light blue shirt, sleeves rolled up to the elbows, standing and leaning on a large wooden meeting table with both hands, looking seriously into the camera, modern meeting room with clean lines, glass walls, minimalistic furniture, soft natural light entering through floor-to-ceiling windows, only notebooks and water glasses on the table, candid and documentary feel, slightly desaturated tones, visible muscle tension in forearms, natural skin texture, slight imperfections, subtle stubble, muted background activity, handheld shot with off-center framing, soft depth of field, slight motion blur in background, ISO 400, Canon EOS R5, 50mm f/1.2 lens, warm daylight, light film grain, in the style of Peter Lindbergh\n",
"go_fast": False,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "png",
"guidance_scale": 3,
"output_quality": 80,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 28
}
)
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 philipanheuser/philip 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": "philipanheuser/philip:2802a578d700de45656be662162f336e9f5992b8f329c930e2ef4be6835f4c5c",
"input": {
"model": "dev",
"prompt": "Philip in a light blue shirt, sleeves rolled up to the elbows, standing and leaning on a large wooden meeting table with both hands, looking seriously into the camera, modern meeting room with clean lines, glass walls, minimalistic furniture, soft natural light entering through floor-to-ceiling windows, only notebooks and water glasses on the table, candid and documentary feel, slightly desaturated tones, visible muscle tension in forearms, natural skin texture, slight imperfections, subtle stubble, muted background activity, handheld shot with off-center framing, soft depth of field, slight motion blur in background, ISO 400, Canon EOS R5, 50mm f/1.2 lens, warm daylight, light film grain, in the style of Peter Lindbergh\\n",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "png",
"guidance_scale": 3,
"output_quality": 80,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 28
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Add a payment method to run this model.
By signing in, you agree to our
terms of service and privacy policy
{
"completed_at": "2025-03-25T21:16:34.005384Z",
"created_at": "2025-03-25T21:16:22.752000Z",
"data_removed": false,
"error": null,
"id": "99yxsvyzc1rme0cnswmrhyk1vr",
"input": {
"model": "dev",
"prompt": "Philip in a light blue shirt, sleeves rolled up to the elbows, standing and leaning on a large wooden meeting table with both hands, looking seriously into the camera, modern meeting room with clean lines, glass walls, minimalistic furniture, soft natural light entering through floor-to-ceiling windows, only notebooks and water glasses on the table, candid and documentary feel, slightly desaturated tones, visible muscle tension in forearms, natural skin texture, slight imperfections, subtle stubble, muted background activity, handheld shot with off-center framing, soft depth of field, slight motion blur in background, ISO 400, Canon EOS R5, 50mm f/1.2 lens, warm daylight, light film grain, in the style of Peter Lindbergh\n",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "png",
"guidance_scale": 3,
"output_quality": 80,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 28
},
"logs": "free=26521114263552\nDownloading weights\n2025-03-25T21:16:22Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpjcu_9qhf/weights url=https://replicate.delivery/xezq/UWGubL0AyQLfOSD5vhtKFYEmEyCkeer4uMNkpkPcqEAqrX2oA/trained_model.tar\n2025-03-25T21:16:25Z | INFO | [ Complete ] dest=/tmp/tmpjcu_9qhf/weights size=\"172 MB\" total_elapsed=2.590s url=https://replicate.delivery/xezq/UWGubL0AyQLfOSD5vhtKFYEmEyCkeer4uMNkpkPcqEAqrX2oA/trained_model.tar\nDownloaded weights in 2.61s\nLoaded LoRAs in 3.18s\nUsing seed: 18272\nPrompt: Philip in a light blue shirt, sleeves rolled up to the elbows, standing and leaning on a large wooden meeting table with both hands, looking seriously into the camera, modern meeting room with clean lines, glass walls, minimalistic furniture, soft natural light entering through floor-to-ceiling windows, only notebooks and water glasses on the table, candid and documentary feel, slightly desaturated tones, visible muscle tension in forearms, natural skin texture, slight imperfections, subtle stubble, muted background activity, handheld shot with off-center framing, soft depth of field, slight motion blur in background, ISO 400, Canon EOS R5, 50mm f/1.2 lens, warm daylight, light film grain, in the style of Peter Lindbergh\n[!] txt2img mode\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.82it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.32it/s]\n 11%|█ | 3/28 [00:00<00:06, 4.08it/s]\n 14%|█▍ | 4/28 [00:00<00:06, 3.97it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 3.92it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.88it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.86it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.85it/s]\n 32%|███▏ | 9/28 [00:02<00:04, 3.84it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.83it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.83it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.83it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 3.83it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.83it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.83it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.82it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.82it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.82it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 3.82it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.82it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.82it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.82it/s]\n 82%|████████▏ | 23/28 [00:05<00:01, 3.82it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.82it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.82it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.82it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.82it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.82it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.85it/s]\nTotal safe images: 1 out of 1",
"metrics": {
"predict_time": 11.063150003,
"total_time": 11.253384
},
"output": [
"https://replicate.delivery/xezq/3cZyBmkC3XLnOxe7RgrbjAmQKO5MxAKUteu8K6t6Jn8x8McUA/out-0.png"
],
"started_at": "2025-03-25T21:16:22.942234Z",
"status": "succeeded",
"urls": {
"stream": "https://stream.replicate.com/v1/files/bcwr-4wwcawlcdjhv5rxaklr5bnjcg7fndrkc2o53zcqg6omvndswj2iq",
"get": "https://api.replicate.com/v1/predictions/99yxsvyzc1rme0cnswmrhyk1vr",
"cancel": "https://api.replicate.com/v1/predictions/99yxsvyzc1rme0cnswmrhyk1vr/cancel"
},
"version": "2802a578d700de45656be662162f336e9f5992b8f329c930e2ef4be6835f4c5c"
}
free=26521114263552
Downloading weights
2025-03-25T21:16:22Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpjcu_9qhf/weights url=https://replicate.delivery/xezq/UWGubL0AyQLfOSD5vhtKFYEmEyCkeer4uMNkpkPcqEAqrX2oA/trained_model.tar
2025-03-25T21:16:25Z | INFO | [ Complete ] dest=/tmp/tmpjcu_9qhf/weights size="172 MB" total_elapsed=2.590s url=https://replicate.delivery/xezq/UWGubL0AyQLfOSD5vhtKFYEmEyCkeer4uMNkpkPcqEAqrX2oA/trained_model.tar
Downloaded weights in 2.61s
Loaded LoRAs in 3.18s
Using seed: 18272
Prompt: Philip in a light blue shirt, sleeves rolled up to the elbows, standing and leaning on a large wooden meeting table with both hands, looking seriously into the camera, modern meeting room with clean lines, glass walls, minimalistic furniture, soft natural light entering through floor-to-ceiling windows, only notebooks and water glasses on the table, candid and documentary feel, slightly desaturated tones, visible muscle tension in forearms, natural skin texture, slight imperfections, subtle stubble, muted background activity, handheld shot with off-center framing, soft depth of field, slight motion blur in background, ISO 400, Canon EOS R5, 50mm f/1.2 lens, warm daylight, light film grain, in the style of Peter Lindbergh
[!] txt2img mode
0%| | 0/28 [00:00<?, ?it/s]
4%|▎ | 1/28 [00:00<00:07, 3.82it/s]
7%|▋ | 2/28 [00:00<00:06, 4.32it/s]
11%|█ | 3/28 [00:00<00:06, 4.08it/s]
14%|█▍ | 4/28 [00:00<00:06, 3.97it/s]
18%|█▊ | 5/28 [00:01<00:05, 3.92it/s]
21%|██▏ | 6/28 [00:01<00:05, 3.88it/s]
25%|██▌ | 7/28 [00:01<00:05, 3.86it/s]
29%|██▊ | 8/28 [00:02<00:05, 3.85it/s]
32%|███▏ | 9/28 [00:02<00:04, 3.84it/s]
36%|███▌ | 10/28 [00:02<00:04, 3.83it/s]
39%|███▉ | 11/28 [00:02<00:04, 3.83it/s]
43%|████▎ | 12/28 [00:03<00:04, 3.83it/s]
46%|████▋ | 13/28 [00:03<00:03, 3.83it/s]
50%|█████ | 14/28 [00:03<00:03, 3.83it/s]
54%|█████▎ | 15/28 [00:03<00:03, 3.83it/s]
57%|█████▋ | 16/28 [00:04<00:03, 3.82it/s]
61%|██████ | 17/28 [00:04<00:02, 3.82it/s]
64%|██████▍ | 18/28 [00:04<00:02, 3.82it/s]
68%|██████▊ | 19/28 [00:04<00:02, 3.82it/s]
71%|███████▏ | 20/28 [00:05<00:02, 3.82it/s]
75%|███████▌ | 21/28 [00:05<00:01, 3.82it/s]
79%|███████▊ | 22/28 [00:05<00:01, 3.82it/s]
82%|████████▏ | 23/28 [00:05<00:01, 3.82it/s]
86%|████████▌ | 24/28 [00:06<00:01, 3.82it/s]
89%|████████▉ | 25/28 [00:06<00:00, 3.82it/s]
93%|█████████▎| 26/28 [00:06<00:00, 3.82it/s]
96%|█████████▋| 27/28 [00:07<00:00, 3.82it/s]
100%|██████████| 28/28 [00:07<00:00, 3.82it/s]
100%|██████████| 28/28 [00:07<00:00, 3.85it/s]
Total safe images: 1 out of 1
This model costs approximately $0.016 to run on Replicate, or 62 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 H100 GPU hardware. Predictions typically complete within 11 seconds.
This model doesn't have a readme.
This model is warm. 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 $0.016 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
free=26521114263552
Downloading weights
2025-03-25T21:16:22Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpjcu_9qhf/weights url=https://replicate.delivery/xezq/UWGubL0AyQLfOSD5vhtKFYEmEyCkeer4uMNkpkPcqEAqrX2oA/trained_model.tar
2025-03-25T21:16:25Z | INFO | [ Complete ] dest=/tmp/tmpjcu_9qhf/weights size="172 MB" total_elapsed=2.590s url=https://replicate.delivery/xezq/UWGubL0AyQLfOSD5vhtKFYEmEyCkeer4uMNkpkPcqEAqrX2oA/trained_model.tar
Downloaded weights in 2.61s
Loaded LoRAs in 3.18s
Using seed: 18272
Prompt: Philip in a light blue shirt, sleeves rolled up to the elbows, standing and leaning on a large wooden meeting table with both hands, looking seriously into the camera, modern meeting room with clean lines, glass walls, minimalistic furniture, soft natural light entering through floor-to-ceiling windows, only notebooks and water glasses on the table, candid and documentary feel, slightly desaturated tones, visible muscle tension in forearms, natural skin texture, slight imperfections, subtle stubble, muted background activity, handheld shot with off-center framing, soft depth of field, slight motion blur in background, ISO 400, Canon EOS R5, 50mm f/1.2 lens, warm daylight, light film grain, in the style of Peter Lindbergh
[!] txt2img mode
0%| | 0/28 [00:00<?, ?it/s]
4%|▎ | 1/28 [00:00<00:07, 3.82it/s]
7%|▋ | 2/28 [00:00<00:06, 4.32it/s]
11%|█ | 3/28 [00:00<00:06, 4.08it/s]
14%|█▍ | 4/28 [00:00<00:06, 3.97it/s]
18%|█▊ | 5/28 [00:01<00:05, 3.92it/s]
21%|██▏ | 6/28 [00:01<00:05, 3.88it/s]
25%|██▌ | 7/28 [00:01<00:05, 3.86it/s]
29%|██▊ | 8/28 [00:02<00:05, 3.85it/s]
32%|███▏ | 9/28 [00:02<00:04, 3.84it/s]
36%|███▌ | 10/28 [00:02<00:04, 3.83it/s]
39%|███▉ | 11/28 [00:02<00:04, 3.83it/s]
43%|████▎ | 12/28 [00:03<00:04, 3.83it/s]
46%|████▋ | 13/28 [00:03<00:03, 3.83it/s]
50%|█████ | 14/28 [00:03<00:03, 3.83it/s]
54%|█████▎ | 15/28 [00:03<00:03, 3.83it/s]
57%|█████▋ | 16/28 [00:04<00:03, 3.82it/s]
61%|██████ | 17/28 [00:04<00:02, 3.82it/s]
64%|██████▍ | 18/28 [00:04<00:02, 3.82it/s]
68%|██████▊ | 19/28 [00:04<00:02, 3.82it/s]
71%|███████▏ | 20/28 [00:05<00:02, 3.82it/s]
75%|███████▌ | 21/28 [00:05<00:01, 3.82it/s]
79%|███████▊ | 22/28 [00:05<00:01, 3.82it/s]
82%|████████▏ | 23/28 [00:05<00:01, 3.82it/s]
86%|████████▌ | 24/28 [00:06<00:01, 3.82it/s]
89%|████████▉ | 25/28 [00:06<00:00, 3.82it/s]
93%|█████████▎| 26/28 [00:06<00:00, 3.82it/s]
96%|█████████▋| 27/28 [00:07<00:00, 3.82it/s]
100%|██████████| 28/28 [00:07<00:00, 3.82it/s]
100%|██████████| 28/28 [00:07<00:00, 3.85it/s]
Total safe images: 1 out of 1