defaulta photo of an astronaut riding a pug on mars
typetext
{
"guidance_scale": 7.5,
"height": "512",
"num_inference_steps": 50,
"num_outputs": 1,
"prompt": "RAW photo, a close-up portrait shot of a corporate (man:1.4) CEO overlord looking at the viewer, (expensive haute couture:1.2), embroidered leather jacket embedded with advanced devices, velvet cape, gleaming technology, background is a ((dystopian)) perfect futuristic high-rise office, (high detailed skin:1.2), textured surfaces, ((intricate details, hyperdetailed)), earth tones, muted colors, 8k resolution, (((An extremely complex and advanced technology))), (((hdr)))",
"prompt_strength": 0.8,
"scheduler": "DPMSolverMultistep",
"width": "512"
}npm install replicate
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_Nq4**********************************
This is your API token. Keep it to yourself.
import Replicate from "replicate";
import fs from "node:fs";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run benjielysium/delib_realv using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"benjielysium/delib_realv:c581bb078c9f74e580960262a493d9ea186b2e76e2a71713b4daa4a900ccc9a5",
{
input: {
guidance_scale: 7.5,
height: "512",
num_inference_steps: 50,
num_outputs: 1,
prompt: "RAW photo, a close-up portrait shot of a corporate (man:1.4) CEO overlord looking at the viewer, (expensive haute couture:1.2), embroidered leather jacket embedded with advanced devices, velvet cape, gleaming technology, background is a ((dystopian)) perfect futuristic high-rise office, (high detailed skin:1.2), textured surfaces, ((intricate details, hyperdetailed)), earth tones, muted colors, 8k resolution, (((An extremely complex and advanced technology))), (((hdr)))",
prompt_strength: 0.8,
scheduler: "DPMSolverMultistep",
width: "512"
}
}
);
// 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=r8_Nq4**********************************
This is your API token. Keep it to yourself.
import replicate
Run benjielysium/delib_realv using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"benjielysium/delib_realv:c581bb078c9f74e580960262a493d9ea186b2e76e2a71713b4daa4a900ccc9a5",
input={
"guidance_scale": 7.5,
"height": "512",
"num_inference_steps": 50,
"num_outputs": 1,
"prompt": "RAW photo, a close-up portrait shot of a corporate (man:1.4) CEO overlord looking at the viewer, (expensive haute couture:1.2), embroidered leather jacket embedded with advanced devices, velvet cape, gleaming technology, background is a ((dystopian)) perfect futuristic high-rise office, (high detailed skin:1.2), textured surfaces, ((intricate details, hyperdetailed)), earth tones, muted colors, 8k resolution, (((An extremely complex and advanced technology))), (((hdr)))",
"prompt_strength": 0.8,
"scheduler": "DPMSolverMultistep",
"width": "512"
}
)
# To access the file URL:
print(output[0].url())
#=> "http://example.com"
# To write the file to disk:
with open("my-image.png", "wb") as file:
file.write(output[0].read())
To learn more, take a look at the guide on getting started with Python.
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_Nq4**********************************
This is your API token. Keep it to yourself.
Run benjielysium/delib_realv 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": "benjielysium/delib_realv:c581bb078c9f74e580960262a493d9ea186b2e76e2a71713b4daa4a900ccc9a5",
"input": {
"guidance_scale": 7.5,
"height": "512",
"num_inference_steps": 50,
"num_outputs": 1,
"prompt": "RAW photo, a close-up portrait shot of a corporate (man:1.4) CEO overlord looking at the viewer, (expensive haute couture:1.2), embroidered leather jacket embedded with advanced devices, velvet cape, gleaming technology, background is a ((dystopian)) perfect futuristic high-rise office, (high detailed skin:1.2), textured surfaces, ((intricate details, hyperdetailed)), earth tones, muted colors, 8k resolution, (((An extremely complex and advanced technology))), (((hdr)))",
"prompt_strength": 0.8,
"scheduler": "DPMSolverMultistep",
"width": "512"
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
{
"id": "vhiexiczy5bhzpfiyqe2664qoa",
"model": "benjielysium/delib_realv",
"version": "c581bb078c9f74e580960262a493d9ea186b2e76e2a71713b4daa4a900ccc9a5",
"input": {
"guidance_scale": 7.5,
"height": "512",
"num_inference_steps": 50,
"num_outputs": 1,
"prompt": "RAW photo, a close-up portrait shot of a corporate (man:1.4) CEO overlord looking at the viewer, (expensive haute couture:1.2), embroidered leather jacket embedded with advanced devices, velvet cape, gleaming technology, background is a ((dystopian)) perfect futuristic high-rise office, (high detailed skin:1.2), textured surfaces, ((intricate details, hyperdetailed)), earth tones, muted colors, 8k resolution, (((An extremely complex and advanced technology))), (((hdr)))",
"prompt_strength": 0.8,
"scheduler": "DPMSolverMultistep",
"width": "512"
},
"logs": "Using seed: 65429\nThe config attributes {'clip_sample_range': 1.0} were passed to PNDMScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\nThe config attributes {'clip_sample_range': 1.0} were passed to LMSDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\nThe config attributes {'clip_sample_range': 1.0} were passed to DDIMScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\nThe config attributes {'clip_sample_range': 1.0} were passed to EulerDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\nThe config attributes {'clip_sample_range': 1.0} were passed to EulerAncestralDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\nThe config attributes {'clip_sample_range': 1.0} were passed to DPMSolverMultistepScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: [', (( intricate details, hyperdetailed )), earth tones, muted colors, 8 k resolution, ((( an extremely complex and advanced technology ))), ((( hdr )))']\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:29, 1.66it/s]\n 4%|▍ | 2/50 [00:01<00:27, 1.76it/s]\n 6%|▌ | 3/50 [00:01<00:26, 1.78it/s]\n 8%|▊ | 4/50 [00:02<00:25, 1.79it/s]\n 10%|█ | 5/50 [00:02<00:24, 1.80it/s]\n 12%|█▏ | 6/50 [00:03<00:24, 1.80it/s]\n 14%|█▍ | 7/50 [00:03<00:23, 1.81it/s]\n 16%|█▌ | 8/50 [00:04<00:23, 1.80it/s]\n 18%|█▊ | 9/50 [00:05<00:22, 1.81it/s]\n 20%|██ | 10/50 [00:05<00:22, 1.80it/s]\n 22%|██▏ | 11/50 [00:06<00:21, 1.80it/s]\n 24%|██▍ | 12/50 [00:06<00:21, 1.80it/s]\n 26%|██▌ | 13/50 [00:07<00:20, 1.79it/s]\n 28%|██▊ | 14/50 [00:07<00:20, 1.79it/s]\n 30%|███ | 15/50 [00:08<00:19, 1.79it/s]\n 32%|███▏ | 16/50 [00:08<00:19, 1.79it/s]\n 34%|███▍ | 17/50 [00:09<00:18, 1.78it/s]\n 36%|███▌ | 18/50 [00:10<00:17, 1.78it/s]\n 38%|███▊ | 19/50 [00:10<00:17, 1.78it/s]\n 40%|████ | 20/50 [00:11<00:16, 1.78it/s]\n 42%|████▏ | 21/50 [00:11<00:16, 1.77it/s]\n 44%|████▍ | 22/50 [00:12<00:15, 1.77it/s]\n 46%|████▌ | 23/50 [00:12<00:15, 1.77it/s]\n 48%|████▊ | 24/50 [00:13<00:14, 1.77it/s]\n 50%|█████ | 25/50 [00:14<00:14, 1.77it/s]\n 52%|█████▏ | 26/50 [00:14<00:13, 1.76it/s]\n 54%|█████▍ | 27/50 [00:15<00:13, 1.76it/s]\n 56%|█████▌ | 28/50 [00:15<00:12, 1.76it/s]\n 58%|█████▊ | 29/50 [00:16<00:11, 1.76it/s]\n 60%|██████ | 30/50 [00:16<00:11, 1.75it/s]\n 62%|██████▏ | 31/50 [00:17<00:10, 1.75it/s]\n 64%|██████▍ | 32/50 [00:18<00:10, 1.75it/s]\n 66%|██████▌ | 33/50 [00:18<00:09, 1.75it/s]\n 68%|██████▊ | 34/50 [00:19<00:09, 1.75it/s]\n 70%|███████ | 35/50 [00:19<00:08, 1.74it/s]\n 72%|███████▏ | 36/50 [00:20<00:08, 1.74it/s]\n 74%|███████▍ | 37/50 [00:20<00:07, 1.73it/s]\n 76%|███████▌ | 38/50 [00:21<00:06, 1.72it/s]\n 78%|███████▊ | 39/50 [00:22<00:06, 1.73it/s]\n 80%|████████ | 40/50 [00:22<00:05, 1.73it/s]\n 82%|████████▏ | 41/50 [00:23<00:05, 1.72it/s]\n 84%|████████▍ | 42/50 [00:23<00:04, 1.72it/s]\n 86%|████████▌ | 43/50 [00:24<00:04, 1.71it/s]\n 88%|████████▊ | 44/50 [00:24<00:03, 1.71it/s]\n 90%|█████████ | 45/50 [00:25<00:02, 1.71it/s]\n 92%|█████████▏| 46/50 [00:26<00:02, 1.71it/s]\n 94%|█████████▍| 47/50 [00:26<00:01, 1.71it/s]\n 96%|█████████▌| 48/50 [00:27<00:01, 1.70it/s]\n 98%|█████████▊| 49/50 [00:27<00:00, 1.70it/s]\n100%|██████████| 50/50 [00:28<00:00, 1.70it/s]\n100%|██████████| 50/50 [00:28<00:00, 1.75it/s]",
"output": [
"https://replicate.delivery/pbxt/5vh3EKAyHdK7HJKV7SVXQVeBBRBZsoEFYjnUc9zTotTevvfhA/out-0.png"
],
"data_removed": false,
"error": null,
"source": "web",
"status": "succeeded",
"created_at": "2023-05-27T00:07:59.747332Z",
"started_at": "2023-05-27T00:07:59.723383Z",
"completed_at": "2023-05-27T00:08:29.695128Z",
"urls": {
"cancel": "https://api.replicate.com/v1/predictions/vhiexiczy5bhzpfiyqe2664qoa/cancel",
"get": "https://api.replicate.com/v1/predictions/vhiexiczy5bhzpfiyqe2664qoa"
},
"metrics": {
"predict_time": 29.971745,
"total_time": 29.947796
}
}