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qunash /circassian-culture-flux-3000-steps:bf772d87
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=qunash/circassian-culture-flux-3000-steps
or set up a project from scratch
Install Replicate’s Node.js client library:
npm install replicateSet the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import and set up the client:
import Replicate from "replicate";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688",
{
input: {
model: "dev",
prompt: "Delicate Elegance | Sony A7R IV, 90mm f/2.8 Macro\nA closeup of a woman's hand in a Circassian dress, bathed in soft natural light. Her slender fingers are adorned with a vintage silver ring, its intricate filigree catching the sun. Subtle shimmer of a pale pink manicure to the gentle curves of her knuckles. Set against a creamy bokeh background, this high-resolution shot showcases the camera's ability to render fine textures and skin tones with lifelike precision.",
go_fast: false,
lora_scale: 1,
megapixels: "1",
num_outputs: 4,
aspect_ratio: "1:1",
output_format: "webp",
guidance_scale: 3.5,
output_quality: 80,
prompt_strength: 0.8,
extra_lora_scale: 1,
num_inference_steps: 50
}
}
);
// 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.
Install Replicate’s Python client library:
pip install replicateSet the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the client:
import replicateRun qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688",
input={
"model": "dev",
"prompt": "Delicate Elegance | Sony A7R IV, 90mm f/2.8 Macro\nA closeup of a woman's hand in a Circassian dress, bathed in soft natural light. Her slender fingers are adorned with a vintage silver ring, its intricate filigree catching the sun. Subtle shimmer of a pale pink manicure to the gentle curves of her knuckles. Set against a creamy bokeh background, this high-resolution shot showcases the camera's ability to render fine textures and skin tones with lifelike precision.",
"go_fast": False,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 4,
"aspect_ratio": "1:1",
"output_format": "webp",
"guidance_scale": 3.5,
"output_quality": 80,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 50
}
)
print(output)To learn more, take a look at the guide on getting started with Python.
Set the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Run qunash/circassian-culture-flux-3000-steps 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": "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688",
"input": {
"model": "dev",
"prompt": "Delicate Elegance | Sony A7R IV, 90mm f/2.8 Macro\\nA closeup of a woman\'s hand in a Circassian dress, bathed in soft natural light. Her slender fingers are adorned with a vintage silver ring, its intricate filigree catching the sun. Subtle shimmer of a pale pink manicure to the gentle curves of her knuckles. Set against a creamy bokeh background, this high-resolution shot showcases the camera\'s ability to render fine textures and skin tones with lifelike precision.",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 4,
"aspect_ratio": "1:1",
"output_format": "webp",
"guidance_scale": 3.5,
"output_quality": 80,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 50
}
}' \
https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{
"completed_at": "2024-08-22T13:36:37.401002Z",
"created_at": "2024-08-22T13:35:10.447000Z",
"data_removed": false,
"error": null,
"id": "9ykbwa2wdxrm60chf968280dnw",
"input": {
"model": "dev",
"prompt": "Delicate Elegance | Sony A7R IV, 90mm f/2.8 Macro\nA closeup of a woman's hand in a Circassian dress, bathed in soft natural light. Her slender fingers are adorned with a vintage silver ring, its intricate filigree catching the sun. Subtle shimmer of a pale pink manicure to the gentle curves of her knuckles. Set against a creamy bokeh background, this high-resolution shot showcases the camera's ability to render fine textures and skin tones with lifelike precision.",
"lora_scale": 1,
"num_outputs": 4,
"aspect_ratio": "1:1",
"output_format": "webp",
"guidance_scale": 3.5,
"output_quality": 80,
"num_inference_steps": 50
},
"logs": "Using seed: 19790\nPrompt: Delicate Elegance | Sony A7R IV, 90mm f/2.8 Macro\nA closeup of a woman's hand in a Circassian dress, bathed in soft natural light. Her slender fingers are adorned with a vintage silver ring, its intricate filigree catching the sun. Subtle shimmer of a pale pink manicure to the gentle curves of her knuckles. Set against a creamy bokeh background, this high-resolution shot showcases the camera's ability to render fine textures and skin tones with lifelike precision.\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nEnsuring enough disk space...\nFree disk space: 9453799067648\nDownloading weights\n2024-08-22T13:35:31Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/41925a20b164b9c8 url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar\n2024-08-22T13:35:33Z | INFO | [ Complete ] dest=/src/weights-cache/41925a20b164b9c8 size=\"172 MB\" total_elapsed=1.492s url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar\nb''\nDownloaded weights in 1.5193440914154053 seconds\nLoRA weights loaded successfully\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: [\"a creamy bokeh background, this high - resolution shot showcases the camera's ability to render fine textures and skin tones with lifelike precision.\", \"a creamy bokeh background, this high - resolution shot showcases the camera's ability to render fine textures and skin tones with lifelike precision.\", \"a creamy bokeh background, this high - resolution shot showcases the camera's ability to render fine textures and skin tones with lifelike precision.\", \"a creamy bokeh background, this high - resolution shot showcases the camera's ability to render fine textures and skin tones with lifelike precision.\"]\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:01<00:49, 1.00s/it]\n 4%|▍ | 2/50 [00:01<00:42, 1.14it/s]\n 6%|▌ | 3/50 [00:02<00:44, 1.07it/s]\n 8%|▊ | 4/50 [00:03<00:44, 1.04it/s]\n 10%|█ | 5/50 [00:04<00:44, 1.02it/s]\n 12%|█▏ | 6/50 [00:05<00:43, 1.01it/s]\n 14%|█▍ | 7/50 [00:06<00:42, 1.01it/s]\n 16%|█▌ | 8/50 [00:07<00:41, 1.00it/s]\n 18%|█▊ | 9/50 [00:08<00:41, 1.00s/it]\n 20%|██ | 10/50 [00:09<00:40, 1.00s/it]\n 22%|██▏ | 11/50 [00:10<00:39, 1.01s/it]\n 24%|██▍ | 12/50 [00:11<00:38, 1.01s/it]\n 26%|██▌ | 13/50 [00:12<00:37, 1.01s/it]\n 28%|██▊ | 14/50 [00:13<00:36, 1.01s/it]\n 30%|███ | 15/50 [00:14<00:35, 1.01s/it]\n 32%|███▏ | 16/50 [00:15<00:34, 1.01s/it]\n 34%|███▍ | 17/50 [00:16<00:33, 1.01s/it]\n 36%|███▌ | 18/50 [00:17<00:32, 1.01s/it]\n 38%|███▊ | 19/50 [00:18<00:31, 1.01s/it]\n 40%|████ | 20/50 [00:19<00:30, 1.01s/it]\n 42%|████▏ | 21/50 [00:20<00:29, 1.01s/it]\n 44%|████▍ | 22/50 [00:21<00:28, 1.01s/it]\n 46%|████▌ | 23/50 [00:22<00:27, 1.01s/it]\n 48%|████▊ | 24/50 [00:23<00:26, 1.01s/it]\n 50%|█████ | 25/50 [00:25<00:25, 1.01s/it]\n 52%|█████▏ | 26/50 [00:26<00:24, 1.01s/it]\n 54%|█████▍ | 27/50 [00:27<00:23, 1.01s/it]\n 56%|█████▌ | 28/50 [00:28<00:22, 1.01s/it]\n 58%|█████▊ | 29/50 [00:29<00:21, 1.01s/it]\n 60%|██████ | 30/50 [00:30<00:20, 1.01s/it]\n 62%|██████▏ | 31/50 [00:31<00:19, 1.01s/it]\n 64%|██████▍ | 32/50 [00:32<00:18, 1.01s/it]\n 66%|██████▌ | 33/50 [00:33<00:17, 1.01s/it]\n 68%|██████▊ | 34/50 [00:34<00:16, 1.01s/it]\n 70%|███████ | 35/50 [00:35<00:15, 1.01s/it]\n 72%|███████▏ | 36/50 [00:36<00:14, 1.01s/it]\n 74%|███████▍ | 37/50 [00:37<00:13, 1.01s/it]\n 76%|███████▌ | 38/50 [00:38<00:12, 1.01s/it]\n 78%|███████▊ | 39/50 [00:39<00:11, 1.01s/it]\n 80%|████████ | 40/50 [00:40<00:10, 1.01s/it]\n 82%|████████▏ | 41/50 [00:41<00:09, 1.01s/it]\n 84%|████████▍ | 42/50 [00:42<00:08, 1.01s/it]\n 86%|████████▌ | 43/50 [00:43<00:07, 1.01s/it]\n 88%|████████▊ | 44/50 [00:44<00:06, 1.01s/it]\n 90%|█████████ | 45/50 [00:45<00:05, 1.01s/it]\n 92%|█████████▏| 46/50 [00:46<00:04, 1.01s/it]\n 94%|█████████▍| 47/50 [00:47<00:03, 1.01s/it]\n 96%|█████████▌| 48/50 [00:48<00:02, 1.01s/it]\n 98%|█████████▊| 49/50 [00:49<00:01, 1.01s/it]\n100%|██████████| 50/50 [00:50<00:00, 1.01s/it]\n100%|██████████| 50/50 [00:50<00:00, 1.01s/it]",
"metrics": {
"predict_time": 65.574618838,
"total_time": 86.954002
},
"output": [
"https://replicate.delivery/yhqm/gHEgJD3IPrL3L5LmQnTRLcol91pi6Cd0DQsxqsgwpAZ5wT1E/out-0.webp",
"https://replicate.delivery/yhqm/qOSfV8TZO4zFD6HdBWDlcfXLXZdHwe8SZNjYhXIUeqevc4paC/out-1.webp",
"https://replicate.delivery/yhqm/oZlkrolq2u4XGZulRUpZd0vrdsOpX51n0vhVefwXf5ULHeUNB/out-2.webp",
"https://replicate.delivery/yhqm/1Y35tLwKifXiFqjsb5EvVO2TCciUzi59Z2CEUrTEGztyhnqJA/out-3.webp"
],
"started_at": "2024-08-22T13:35:31.826383Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/9ykbwa2wdxrm60chf968280dnw",
"cancel": "https://api.replicate.com/v1/predictions/9ykbwa2wdxrm60chf968280dnw/cancel"
},
"version": "bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688"
}Generated in
Using seed: 19790
Prompt: Delicate Elegance | Sony A7R IV, 90mm f/2.8 Macro
A closeup of a woman's hand in a Circassian dress, bathed in soft natural light. Her slender fingers are adorned with a vintage silver ring, its intricate filigree catching the sun. Subtle shimmer of a pale pink manicure to the gentle curves of her knuckles. Set against a creamy bokeh background, this high-resolution shot showcases the camera's ability to render fine textures and skin tones with lifelike precision.
txt2img mode
Using dev model
Loading LoRA weights
Ensuring enough disk space...
Free disk space: 9453799067648
Downloading weights
2024-08-22T13:35:31Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/41925a20b164b9c8 url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar
2024-08-22T13:35:33Z | INFO | [ Complete ] dest=/src/weights-cache/41925a20b164b9c8 size="172 MB" total_elapsed=1.492s url=https://replicate.delivery/yhqm/wtXcKcWjsU6cOp1w1M0S5Pa3xxgzfXymMQmF8n3T7NmCz1pJA/trained_model.tar
b''
Downloaded weights in 1.5193440914154053 seconds
LoRA weights loaded successfully
The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ["a creamy bokeh background, this high - resolution shot showcases the camera's ability to render fine textures and skin tones with lifelike precision.", "a creamy bokeh background, this high - resolution shot showcases the camera's ability to render fine textures and skin tones with lifelike precision.", "a creamy bokeh background, this high - resolution shot showcases the camera's ability to render fine textures and skin tones with lifelike precision.", "a creamy bokeh background, this high - resolution shot showcases the camera's ability to render fine textures and skin tones with lifelike precision."]
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