defaultAn astronaut riding a rainbow unicorn
typetext
{
"apply_watermark": true,
"guidance_scale": 7.5,
"height": 1024,
"high_noise_frac": 0.8,
"lora_scale": 0.75,
"negative_prompt": "bad lighting, low-quality, deformed, text, poorly drawn, holding camera, bad art, bad angle, boring, low-resolution, worst quality, bad composition, disfigured",
"num_inference_steps": 50,
"num_outputs": 4,
"prompt": " fuji film candid portrait of Chamran wearing sunglasses rocking out on the streets of miami at night, 80s album cover, vaporwave, synthwave, retrowave, cinematic, intense, highly detailed, dark ambient, beautiful, dramatic lighting, hyperrealistic ",
"prompt_strength": 0.8,
"refine": "no_refiner",
"scheduler": "DDIM",
"width": 1024
}npm install replicate
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_4Hl**********************************
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 eledah/sdxl-lora-character-chamran using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"eledah/sdxl-lora-character-chamran:9ee813be18f9e2dc0836789ede7e93f0c53521ddc32067bdef51d2862767a85d",
{
input: {
apply_watermark: true,
guidance_scale: 7.5,
height: 1024,
high_noise_frac: 0.8,
lora_scale: 0.75,
negative_prompt: "bad lighting, low-quality, deformed, text, poorly drawn, holding camera, bad art, bad angle, boring, low-resolution, worst quality, bad composition, disfigured",
num_inference_steps: 50,
num_outputs: 4,
prompt: " fuji film candid portrait of Chamran wearing sunglasses rocking out on the streets of miami at night, 80s album cover, vaporwave, synthwave, retrowave, cinematic, intense, highly detailed, dark ambient, beautiful, dramatic lighting, hyperrealistic ",
prompt_strength: 0.8,
refine: "no_refiner",
scheduler: "DDIM",
width: 1024
}
}
);
// 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_4Hl**********************************
This is your API token. Keep it to yourself.
import replicate
Run eledah/sdxl-lora-character-chamran using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"eledah/sdxl-lora-character-chamran:9ee813be18f9e2dc0836789ede7e93f0c53521ddc32067bdef51d2862767a85d",
input={
"apply_watermark": True,
"guidance_scale": 7.5,
"height": 1024,
"high_noise_frac": 0.8,
"lora_scale": 0.75,
"negative_prompt": "bad lighting, low-quality, deformed, text, poorly drawn, holding camera, bad art, bad angle, boring, low-resolution, worst quality, bad composition, disfigured",
"num_inference_steps": 50,
"num_outputs": 4,
"prompt": " fuji film candid portrait of Chamran wearing sunglasses rocking out on the streets of miami at night, 80s album cover, vaporwave, synthwave, retrowave, cinematic, intense, highly detailed, dark ambient, beautiful, dramatic lighting, hyperrealistic ",
"prompt_strength": 0.8,
"refine": "no_refiner",
"scheduler": "DDIM",
"width": 1024
}
)
# 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_4Hl**********************************
This is your API token. Keep it to yourself.
Run eledah/sdxl-lora-character-chamran 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": "eledah/sdxl-lora-character-chamran:9ee813be18f9e2dc0836789ede7e93f0c53521ddc32067bdef51d2862767a85d",
"input": {
"apply_watermark": true,
"guidance_scale": 7.5,
"height": 1024,
"high_noise_frac": 0.8,
"lora_scale": 0.75,
"negative_prompt": "bad lighting, low-quality, deformed, text, poorly drawn, holding camera, bad art, bad angle, boring, low-resolution, worst quality, bad composition, disfigured",
"num_inference_steps": 50,
"num_outputs": 4,
"prompt": " fuji film candid portrait of Chamran wearing sunglasses rocking out on the streets of miami at night, 80s album cover, vaporwave, synthwave, retrowave, cinematic, intense, highly detailed, dark ambient, beautiful, dramatic lighting, hyperrealistic ",
"prompt_strength": 0.8,
"refine": "no_refiner",
"scheduler": "DDIM",
"width": 1024
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
{
"id": "vv3mcza90nrgj0cj7k5snbts7r",
"model": "eledah/sdxl-lora-character-chamran",
"version": "9ee813be18f9e2dc0836789ede7e93f0c53521ddc32067bdef51d2862767a85d",
"input": {
"apply_watermark": true,
"guidance_scale": 7.5,
"height": 1024,
"high_noise_frac": 0.8,
"lora_scale": 0.75,
"negative_prompt": "bad lighting, low-quality, deformed, text, poorly drawn, holding camera, bad art, bad angle, boring, low-resolution, worst quality, bad composition, disfigured",
"num_inference_steps": 50,
"num_outputs": 4,
"prompt": " fuji film candid portrait of Chamran wearing sunglasses rocking out on the streets of miami at night, 80s album cover, vaporwave, synthwave, retrowave, cinematic, intense, highly detailed, dark ambient, beautiful, dramatic lighting, hyperrealistic ",
"prompt_strength": 0.8,
"refine": "no_refiner",
"scheduler": "DDIM",
"width": 1024
},
"logs": "Using seed: 11126\nEnsuring enough disk space...\nFree disk space: 2049103327232\nDownloading weights: https://replicate.delivery/pbxt/apUqPhefKyjCs0nRswRc6a6NMBjnQhVqi4q2CdjNrCHtTZdTA/trained_model.tar\n2024-09-29T08:00:10Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/1a7c5c72d2147ecf url=https://replicate.delivery/pbxt/apUqPhefKyjCs0nRswRc6a6NMBjnQhVqi4q2CdjNrCHtTZdTA/trained_model.tar\n2024-09-29T08:00:16Z | INFO | [ Complete ] dest=/src/weights-cache/1a7c5c72d2147ecf size=\"186 MB\" total_elapsed=6.119s url=https://replicate.delivery/pbxt/apUqPhefKyjCs0nRswRc6a6NMBjnQhVqi4q2CdjNrCHtTZdTA/trained_model.tar\nb''\nDownloaded weights in 6.240539073944092 seconds\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: fuji film candid portrait of Chamran wearing sunglasses rocking out on the streets of miami at night, 80s album cover, vaporwave, synthwave, retrowave, cinematic, intense, highly detailed, dark ambient, beautiful, dramatic lighting, hyperrealistic\ntxt2img mode\n 0%| | 0/50 [00:00<?, ?it/s]/usr/local/lib/python3.9/site-packages/diffusers/models/attention_processor.py:1946: FutureWarning: `LoRAAttnProcessor2_0` is deprecated and will be removed in version 0.26.0. Make sure use AttnProcessor2_0 instead by settingLoRA layers to `self.{to_q,to_k,to_v,to_out[0]}.lora_layer` respectively. This will be done automatically when using `LoraLoaderMixin.load_lora_weights`\ndeprecate(\n 2%|▏ | 1/50 [00:00<00:45, 1.08it/s]\n 4%|▍ | 2/50 [00:01<00:44, 1.08it/s]\n 6%|▌ | 3/50 [00:02<00:43, 1.08it/s]\n 8%|▊ | 4/50 [00:03<00:42, 1.08it/s]\n 10%|█ | 5/50 [00:04<00:41, 1.08it/s]\n 12%|█▏ | 6/50 [00:05<00:40, 1.08it/s]\n 14%|█▍ | 7/50 [00:06<00:39, 1.08it/s]\n 16%|█▌ | 8/50 [00:07<00:38, 1.08it/s]\n 18%|█▊ | 9/50 [00:08<00:37, 1.08it/s]\n 20%|██ | 10/50 [00:09<00:37, 1.08it/s]\n 22%|██▏ | 11/50 [00:10<00:36, 1.08it/s]\n 24%|██▍ | 12/50 [00:11<00:35, 1.08it/s]\n 26%|██▌ | 13/50 [00:12<00:34, 1.08it/s]\n 28%|██▊ | 14/50 [00:12<00:33, 1.08it/s]\n 30%|███ | 15/50 [00:13<00:32, 1.08it/s]\n 32%|███▏ | 16/50 [00:14<00:31, 1.08it/s]\n 34%|███▍ | 17/50 [00:15<00:30, 1.08it/s]\n 36%|███▌ | 18/50 [00:16<00:29, 1.08it/s]\n 38%|███▊ | 19/50 [00:17<00:28, 1.08it/s]\n 40%|████ | 20/50 [00:18<00:27, 1.08it/s]\n 42%|████▏ | 21/50 [00:19<00:26, 1.08it/s]\n 44%|████▍ | 22/50 [00:20<00:25, 1.08it/s]\n 46%|████▌ | 23/50 [00:21<00:25, 1.08it/s]\n 48%|████▊ | 24/50 [00:22<00:24, 1.08it/s]\n 50%|█████ | 25/50 [00:23<00:23, 1.08it/s]\n 52%|█████▏ | 26/50 [00:24<00:22, 1.08it/s]\n 54%|█████▍ | 27/50 [00:25<00:21, 1.08it/s]\n 56%|█████▌ | 28/50 [00:25<00:20, 1.08it/s]\n 58%|█████▊ | 29/50 [00:26<00:19, 1.08it/s]\n 60%|██████ | 30/50 [00:27<00:18, 1.08it/s]\n 62%|██████▏ | 31/50 [00:28<00:17, 1.08it/s]\n 64%|██████▍ | 32/50 [00:29<00:16, 1.08it/s]\n 66%|██████▌ | 33/50 [00:30<00:15, 1.08it/s]\n 68%|██████▊ | 34/50 [00:31<00:14, 1.07it/s]\n 70%|███████ | 35/50 [00:32<00:13, 1.07it/s]\n 72%|███████▏ | 36/50 [00:33<00:13, 1.08it/s]\n 74%|███████▍ | 37/50 [00:34<00:12, 1.08it/s]\n 76%|███████▌ | 38/50 [00:35<00:11, 1.08it/s]\n 78%|███████▊ | 39/50 [00:36<00:10, 1.08it/s]\n 80%|████████ | 40/50 [00:37<00:09, 1.08it/s]\n 82%|████████▏ | 41/50 [00:38<00:08, 1.07it/s]\n 84%|████████▍ | 42/50 [00:38<00:07, 1.07it/s]\n 86%|████████▌ | 43/50 [00:39<00:06, 1.08it/s]\n 88%|████████▊ | 44/50 [00:40<00:05, 1.07it/s]\n 90%|█████████ | 45/50 [00:41<00:04, 1.07it/s]\n 92%|█████████▏| 46/50 [00:42<00:03, 1.07it/s]\n 94%|█████████▍| 47/50 [00:43<00:02, 1.08it/s]\n 96%|█████████▌| 48/50 [00:44<00:01, 1.07it/s]\n 98%|█████████▊| 49/50 [00:45<00:00, 1.07it/s]\n100%|██████████| 50/50 [00:46<00:00, 1.07it/s]\n100%|██████████| 50/50 [00:46<00:00, 1.08it/s]",
"output": [
"https://replicate.delivery/pbxt/yqUEH5syf5XWYCEGszXpQ9vfhrYB03gQTxvw69exY4aKaXDnA/out-0.png",
"https://replicate.delivery/pbxt/XUyRejuSiFwQPCyNeEXpSff1Sw8Bh8o7Fl3bSsAHieXsodNcC/out-1.png",
"https://replicate.delivery/pbxt/0lZSIpsCtEK3AlHk1zuUVcTCSgdTkPePa3DDv5Ip8Hxi21wJA/out-2.png",
"https://replicate.delivery/pbxt/d2lZjdLWqMKwBJrWyPXqdpnCYDzI2tFbinsiIYdX6wSR7a4E/out-3.png"
],
"data_removed": false,
"error": null,
"source": "web",
"status": "succeeded",
"created_at": "2024-09-29T08:00:08.453Z",
"started_at": "2024-09-29T08:00:10.121421Z",
"completed_at": "2024-09-29T08:01:09.396437Z",
"urls": {
"cancel": "https://api.replicate.com/v1/predictions/vv3mcza90nrgj0cj7k5snbts7r/cancel",
"get": "https://api.replicate.com/v1/predictions/vv3mcza90nrgj0cj7k5snbts7r",
"web": "https://replicate.com/p/vv3mcza90nrgj0cj7k5snbts7r"
},
"metrics": {
"predict_time": 59.275016557,
"total_time": 60.943437
}
}


