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": 1,
"prompt": "fashion art designed by Davide Sorrenti, ripped chamran, π, Earbuds, Wide view, Fashion photography, raw style, documentary",
"prompt_strength": 0.8,
"refine": "no_refiner",
"scheduler": "DDIM",
"width": 1024
}npm install replicate
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_0QP**********************************
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 Replicateβs 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: 1,
prompt: "fashion art designed by Davide Sorrenti, ripped chamran, π, Earbuds, Wide view, Fashion photography, raw style, documentary",
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_0QP**********************************
This is your API token. Keep it to yourself.
import replicate
Run eledah/sdxl-lora-character-chamran using Replicateβs 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": 1,
"prompt": "fashion art designed by Davide Sorrenti, ripped chamran, π, Earbuds, Wide view, Fashion photography, raw style, documentary",
"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_0QP**********************************
This is your API token. Keep it to yourself.
Run eledah/sdxl-lora-character-chamran using Replicateβs 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": 1,
"prompt": "fashion art designed by Davide Sorrenti, ripped chamran, π, Earbuds, Wide view, Fashion photography, raw style, documentary",
"prompt_strength": 0.8,
"refine": "no_refiner",
"scheduler": "DDIM",
"width": 1024
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicateβs HTTP API reference docs.
{
"id": "sq8fbrb39drgp0cj7k7rpbkjg4",
"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": 1,
"prompt": "fashion art designed by Davide Sorrenti, ripped chamran, π, Earbuds, Wide view, Fashion photography, raw style, documentary",
"prompt_strength": 0.8,
"refine": "no_refiner",
"scheduler": "DDIM",
"width": 1024
},
"logs": "Using seed: 2679\nEnsuring enough disk space...\nFree disk space: 1428688801792\nDownloading weights: https://replicate.delivery/pbxt/apUqPhefKyjCs0nRswRc6a6NMBjnQhVqi4q2CdjNrCHtTZdTA/trained_model.tar\n2024-09-29T08:05:26Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/1a7c5c72d2147ecf url=https://replicate.delivery/pbxt/apUqPhefKyjCs0nRswRc6a6NMBjnQhVqi4q2CdjNrCHtTZdTA/trained_model.tar\n2024-09-29T08:05:31Z | INFO | [ Complete ] dest=/src/weights-cache/1a7c5c72d2147ecf size=\"186 MB\" total_elapsed=5.050s url=https://replicate.delivery/pbxt/apUqPhefKyjCs0nRswRc6a6NMBjnQhVqi4q2CdjNrCHtTZdTA/trained_model.tar\nb''\nDownloaded weights in 5.183465003967285 seconds\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: fashion art designed by Davide Sorrenti, ripped <s0><s1>, π, Earbuds, Wide view, Fashion photography, raw style, documentary\ntxt2img mode\n 0%| | 0/50 [00:00<?, ?it/s]/usr/local/lib/python3.9/site-packages/torch/nn/modules/conv.py:459: UserWarning: Applied workaround for CuDNN issue, install nvrtc.so (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:80.)\nreturn F.conv2d(input, weight, bias, self.stride,\n/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%|β | 1/50 [00:00<00:20, 2.37it/s]\n 4%|β | 2/50 [00:00<00:14, 3.21it/s]\n 6%|β | 3/50 [00:00<00:13, 3.61it/s]\n 8%|β | 4/50 [00:01<00:11, 3.84it/s]\n 10%|β | 5/50 [00:01<00:11, 3.97it/s]\n 12%|ββ | 6/50 [00:01<00:10, 4.06it/s]\n 14%|ββ | 7/50 [00:01<00:10, 4.11it/s]\n 16%|ββ | 8/50 [00:02<00:10, 4.15it/s]\n 18%|ββ | 9/50 [00:02<00:09, 4.18it/s]\n 20%|ββ | 10/50 [00:02<00:09, 4.20it/s]\n 22%|βββ | 11/50 [00:02<00:09, 4.21it/s]\n 24%|βββ | 12/50 [00:03<00:09, 4.21it/s]\n 26%|βββ | 13/50 [00:03<00:08, 4.22it/s]\n 28%|βββ | 14/50 [00:03<00:08, 4.22it/s]\n 30%|βββ | 15/50 [00:03<00:08, 4.22it/s]\n 32%|ββββ | 16/50 [00:03<00:08, 4.22it/s]\n 34%|ββββ | 17/50 [00:04<00:07, 4.22it/s]\n 36%|ββββ | 18/50 [00:04<00:07, 4.22it/s]\n 38%|ββββ | 19/50 [00:04<00:07, 4.22it/s]\n 40%|ββββ | 20/50 [00:04<00:07, 4.22it/s]\n 42%|βββββ | 21/50 [00:05<00:06, 4.21it/s]\n 44%|βββββ | 22/50 [00:05<00:06, 4.21it/s]\n 46%|βββββ | 23/50 [00:05<00:06, 4.22it/s]\n 48%|βββββ | 24/50 [00:05<00:06, 4.22it/s]\n 50%|βββββ | 25/50 [00:06<00:05, 4.22it/s]\n 52%|ββββββ | 26/50 [00:06<00:05, 4.22it/s]\n 54%|ββββββ | 27/50 [00:06<00:05, 4.21it/s]\n 56%|ββββββ | 28/50 [00:06<00:05, 4.21it/s]\n 58%|ββββββ | 29/50 [00:07<00:04, 4.22it/s]\n 60%|ββββββ | 30/50 [00:07<00:04, 4.22it/s]\n 62%|βββββββ | 31/50 [00:07<00:04, 4.22it/s]\n 64%|βββββββ | 32/50 [00:07<00:04, 4.22it/s]\n 66%|βββββββ | 33/50 [00:07<00:04, 4.23it/s]\n 68%|βββββββ | 34/50 [00:08<00:03, 4.23it/s]\n 70%|βββββββ | 35/50 [00:08<00:03, 4.24it/s]\n 72%|ββββββββ | 36/50 [00:08<00:03, 4.24it/s]\n 74%|ββββββββ | 37/50 [00:08<00:03, 4.24it/s]\n 76%|ββββββββ | 38/50 [00:09<00:02, 4.24it/s]\n 78%|ββββββββ | 39/50 [00:09<00:02, 4.24it/s]\n 80%|ββββββββ | 40/50 [00:09<00:02, 4.24it/s]\n 82%|βββββββββ | 41/50 [00:09<00:02, 4.25it/s]\n 84%|βββββββββ | 42/50 [00:10<00:01, 4.25it/s]\n 86%|βββββββββ | 43/50 [00:10<00:01, 4.25it/s]\n 88%|βββββββββ | 44/50 [00:10<00:01, 4.25it/s]\n 90%|βββββββββ | 45/50 [00:10<00:01, 4.24it/s]\n 92%|ββββββββββ| 46/50 [00:11<00:00, 4.25it/s]\n 94%|ββββββββββ| 47/50 [00:11<00:00, 4.25it/s]\n 96%|ββββββββββ| 48/50 [00:11<00:00, 4.25it/s]\n 98%|ββββββββββ| 49/50 [00:11<00:00, 4.24it/s]\n100%|ββββββββββ| 50/50 [00:11<00:00, 4.25it/s]\n100%|ββββββββββ| 50/50 [00:11<00:00, 4.17it/s]",
"output": [
"https://replicate.delivery/pbxt/YFpYnFbDhqKaBVUYIKY3L3EgKTSfAByfUqSiYAZFMqqaxrhTA/out-0.png"
],
"data_removed": false,
"error": null,
"source": "web",
"status": "succeeded",
"created_at": "2024-09-29T08:04:37.323Z",
"started_at": "2024-09-29T08:05:26.699153Z",
"completed_at": "2024-09-29T08:05:46.273651Z",
"urls": {
"cancel": "https://api.replicate.com/v1/predictions/sq8fbrb39drgp0cj7k7rpbkjg4/cancel",
"get": "https://api.replicate.com/v1/predictions/sq8fbrb39drgp0cj7k7rpbkjg4",
"web": "https://replicate.com/p/sq8fbrb39drgp0cj7k7rpbkjg4"
},
"metrics": {
"predict_time": 19.574498894,
"total_time": 68.950651
}
}