defaultAn astronaut riding a rainbow unicorn
typetext
{
"apply_watermark": false,
"guidance_scale": 7.5,
"height": 1024,
"high_noise_frac": 0.8,
"lora_scale": 0.65,
"lora_weights": "https://replicate.delivery/pbxt/hM1H6f93HCVYQq471gZz6EYtRHPMJYAsyxeQXdGnozeDJKOkA/trained_model.tar",
"negative_prompt": "ugly, bad quality, nsfw",
"num_inference_steps": 35,
"num_outputs": 1,
"prompt": "shot in the style of sksfer, close up of a young woman in alaska, beautiful white hair, with a wolf necklace with a green gem in it, extreme detail and texture, professional photography",
"prompt_strength": 0.8,
"refine": "no_refiner",
"scheduler": "K_EULER",
"seed": 54321,
"width": 1024
}npm install replicate
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_VZe**********************************
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 fermatresearch/open-dalle-1.1-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"fermatresearch/open-dalle-1.1-lora:2ade2cbfc88298b98366a6e361559e11666c17ed415d341c9ae776b30a61b196",
{
input: {
apply_watermark: false,
guidance_scale: 7.5,
height: 1024,
high_noise_frac: 0.8,
lora_scale: 0.65,
lora_weights: "https://replicate.delivery/pbxt/hM1H6f93HCVYQq471gZz6EYtRHPMJYAsyxeQXdGnozeDJKOkA/trained_model.tar",
negative_prompt: "ugly, bad quality, nsfw",
num_inference_steps: 35,
num_outputs: 1,
prompt: "shot in the style of sksfer, close up of a young woman in alaska, beautiful white hair, with a wolf necklace with a green gem in it, extreme detail and texture, professional photography",
prompt_strength: 0.8,
refine: "no_refiner",
scheduler: "K_EULER",
seed: 54321,
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_VZe**********************************
This is your API token. Keep it to yourself.
import replicate
Run fermatresearch/open-dalle-1.1-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"fermatresearch/open-dalle-1.1-lora:2ade2cbfc88298b98366a6e361559e11666c17ed415d341c9ae776b30a61b196",
input={
"apply_watermark": False,
"guidance_scale": 7.5,
"height": 1024,
"high_noise_frac": 0.8,
"lora_scale": 0.65,
"lora_weights": "https://replicate.delivery/pbxt/hM1H6f93HCVYQq471gZz6EYtRHPMJYAsyxeQXdGnozeDJKOkA/trained_model.tar",
"negative_prompt": "ugly, bad quality, nsfw",
"num_inference_steps": 35,
"num_outputs": 1,
"prompt": "shot in the style of sksfer, close up of a young woman in alaska, beautiful white hair, with a wolf necklace with a green gem in it, extreme detail and texture, professional photography",
"prompt_strength": 0.8,
"refine": "no_refiner",
"scheduler": "K_EULER",
"seed": 54321,
"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_VZe**********************************
This is your API token. Keep it to yourself.
Run fermatresearch/open-dalle-1.1-lora 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": "fermatresearch/open-dalle-1.1-lora:2ade2cbfc88298b98366a6e361559e11666c17ed415d341c9ae776b30a61b196",
"input": {
"apply_watermark": false,
"guidance_scale": 7.5,
"height": 1024,
"high_noise_frac": 0.8,
"lora_scale": 0.65,
"lora_weights": "https://replicate.delivery/pbxt/hM1H6f93HCVYQq471gZz6EYtRHPMJYAsyxeQXdGnozeDJKOkA/trained_model.tar",
"negative_prompt": "ugly, bad quality, nsfw",
"num_inference_steps": 35,
"num_outputs": 1,
"prompt": "shot in the style of sksfer, close up of a young woman in alaska, beautiful white hair, with a wolf necklace with a green gem in it, extreme detail and texture, professional photography",
"prompt_strength": 0.8,
"refine": "no_refiner",
"scheduler": "K_EULER",
"seed": 54321,
"width": 1024
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
{
"id": "u5kh73dbqtr4nezjiga4rdw7ri",
"model": "fermatresearch/open-dalle-1.1-lora",
"version": "2ade2cbfc88298b98366a6e361559e11666c17ed415d341c9ae776b30a61b196",
"input": {
"apply_watermark": false,
"guidance_scale": 7.5,
"height": 1024,
"high_noise_frac": 0.8,
"lora_scale": 0.65,
"lora_weights": "https://replicate.delivery/pbxt/hM1H6f93HCVYQq471gZz6EYtRHPMJYAsyxeQXdGnozeDJKOkA/trained_model.tar",
"negative_prompt": "ugly, bad quality, nsfw",
"num_inference_steps": 35,
"num_outputs": 1,
"prompt": "shot in the style of sksfer, close up of a young woman in alaska, beautiful white hair, with a wolf necklace with a green gem in it, extreme detail and texture, professional photography",
"prompt_strength": 0.8,
"refine": "no_refiner",
"scheduler": "K_EULER",
"seed": 54321,
"width": 1024
},
"logs": "Using seed: 54321\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: shot in the style of <s0><s1>, close up of a young woman in alaska, beautiful white hair, with a wolf necklace with a green gem in it, extreme detail and texture, professional photography\ntxt2img mode\n 0%| | 0/35 [00:00<?, ?it/s]\n 3%|▎ | 1/35 [00:00<00:09, 3.67it/s]\n 6%|▌ | 2/35 [00:00<00:09, 3.66it/s]\n 9%|▊ | 3/35 [00:00<00:08, 3.65it/s]\n 11%|█▏ | 4/35 [00:01<00:08, 3.65it/s]\n 14%|█▍ | 5/35 [00:01<00:08, 3.64it/s]\n 17%|█▋ | 6/35 [00:01<00:07, 3.63it/s]\n 20%|██ | 7/35 [00:01<00:07, 3.63it/s]\n 23%|██▎ | 8/35 [00:02<00:07, 3.63it/s]\n 26%|██▌ | 9/35 [00:02<00:07, 3.63it/s]\n 29%|██▊ | 10/35 [00:02<00:06, 3.63it/s]\n 31%|███▏ | 11/35 [00:03<00:06, 3.63it/s]\n 34%|███▍ | 12/35 [00:03<00:06, 3.63it/s]\n 37%|███▋ | 13/35 [00:03<00:06, 3.63it/s]\n 40%|████ | 14/35 [00:03<00:05, 3.63it/s]\n 43%|████▎ | 15/35 [00:04<00:05, 3.63it/s]\n 46%|████▌ | 16/35 [00:04<00:05, 3.62it/s]\n 49%|████▊ | 17/35 [00:04<00:04, 3.62it/s]\n 51%|█████▏ | 18/35 [00:04<00:04, 3.62it/s]\n 54%|█████▍ | 19/35 [00:05<00:04, 3.62it/s]\n 57%|█████▋ | 20/35 [00:05<00:04, 3.62it/s]\n 60%|██████ | 21/35 [00:05<00:03, 3.62it/s]\n 63%|██████▎ | 22/35 [00:06<00:03, 3.62it/s]\n 66%|██████▌ | 23/35 [00:06<00:03, 3.62it/s]\n 69%|██████▊ | 24/35 [00:06<00:03, 3.62it/s]\n 71%|███████▏ | 25/35 [00:06<00:02, 3.62it/s]\n 74%|███████▍ | 26/35 [00:07<00:02, 3.62it/s]\n 77%|███████▋ | 27/35 [00:07<00:02, 3.62it/s]\n 80%|████████ | 28/35 [00:07<00:01, 3.62it/s]\n 83%|████████▎ | 29/35 [00:07<00:01, 3.62it/s]\n 86%|████████▌ | 30/35 [00:08<00:01, 3.62it/s]\n 89%|████████▊ | 31/35 [00:08<00:01, 3.62it/s]\n 91%|█████████▏| 32/35 [00:08<00:00, 3.62it/s]\n 94%|█████████▍| 33/35 [00:09<00:00, 3.62it/s]\n 97%|█████████▋| 34/35 [00:09<00:00, 3.62it/s]\n100%|██████████| 35/35 [00:09<00:00, 3.62it/s]\n100%|██████████| 35/35 [00:09<00:00, 3.62it/s]",
"output": [
"https://replicate.delivery/pbxt/yh0AaQWOrfS1Ua9oGIXeu6JfmSSB07xwfMkkaq374aWXuqcIB/out-0.png"
],
"data_removed": false,
"error": null,
"source": "web",
"status": "succeeded",
"created_at": "2023-12-29T16:50:33.073425Z",
"started_at": "2023-12-29T16:50:33.111129Z",
"completed_at": "2023-12-29T16:50:46.416955Z",
"urls": {
"cancel": "https://api.replicate.com/v1/predictions/u5kh73dbqtr4nezjiga4rdw7ri/cancel",
"get": "https://api.replicate.com/v1/predictions/u5kh73dbqtr4nezjiga4rdw7ri"
},
"metrics": {
"predict_time": 13.305826,
"total_time": 13.34353
}
}