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alekseycalvin /acsoonr_flux:fd7de6f5
Input
Run this model in Node.js with one line of code:
npm install replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import Replicate from "replicate";
import fs from "node:fs";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run alekseycalvin/acsoonr_flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"alekseycalvin/acsoonr_flux:fd7de6f580fea2cf6af655ed1e376855ce5a6d5e9fa18b2c1bd0bdf3dfb05cdc",
{
input: {
model: "dev",
prompt: "photo of acs person with green eyes and brown hair, full height, realistic hands, strolling alone through Revolutionary Soviet Petrograd in 1920 during the winter, photorealistic analog film photography, lifelike ACS person features, photorealistic textured skin and clothing details, best quality dslr mirrorless camera professional photography, extremely detailed intricate historically-accurate background, indistinguishable from life, accurate anatomy, accurate fingers",
go_fast: false,
lora_scale: 1,
megapixels: "1",
num_outputs: 1,
aspect_ratio: "16:9",
output_format: "webp",
guidance_scale: 4.5,
output_quality: 100,
prompt_strength: 0.8,
extra_lora_scale: 1,
num_inference_steps: 28
}
}
);
// 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=<paste-your-token-here>
Find your API token in your account settings.
import replicate
Run alekseycalvin/acsoonr_flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"alekseycalvin/acsoonr_flux:fd7de6f580fea2cf6af655ed1e376855ce5a6d5e9fa18b2c1bd0bdf3dfb05cdc",
input={
"model": "dev",
"prompt": "photo of acs person with green eyes and brown hair, full height, realistic hands, strolling alone through Revolutionary Soviet Petrograd in 1920 during the winter, photorealistic analog film photography, lifelike ACS person features, photorealistic textured skin and clothing details, best quality dslr mirrorless camera professional photography, extremely detailed intricate historically-accurate background, indistinguishable from life, accurate anatomy, accurate fingers",
"go_fast": False,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "16:9",
"output_format": "webp",
"guidance_scale": 4.5,
"output_quality": 100,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 28
}
)
print(output)
To learn more, take a look at the guide on getting started with Python.
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run alekseycalvin/acsoonr_flux 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": "alekseycalvin/acsoonr_flux:fd7de6f580fea2cf6af655ed1e376855ce5a6d5e9fa18b2c1bd0bdf3dfb05cdc",
"input": {
"model": "dev",
"prompt": "photo of acs person with green eyes and brown hair, full height, realistic hands, strolling alone through Revolutionary Soviet Petrograd in 1920 during the winter, photorealistic analog film photography, lifelike ACS person features, photorealistic textured skin and clothing details, best quality dslr mirrorless camera professional photography, extremely detailed intricate historically-accurate background, indistinguishable from life, accurate anatomy, accurate fingers",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "16:9",
"output_format": "webp",
"guidance_scale": 4.5,
"output_quality": 100,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 28
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
brew install cog
If you don’t have Homebrew, there are other installation options available.
Run this to download the model and run it in your local environment:
cog predict r8.im/alekseycalvin/acsoonr_flux@sha256:fd7de6f580fea2cf6af655ed1e376855ce5a6d5e9fa18b2c1bd0bdf3dfb05cdc \
-i 'model="dev"' \
-i 'prompt="photo of acs person with green eyes and brown hair, full height, realistic hands, strolling alone through Revolutionary Soviet Petrograd in 1920 during the winter, photorealistic analog film photography, lifelike ACS person features, photorealistic textured skin and clothing details, best quality dslr mirrorless camera professional photography, extremely detailed intricate historically-accurate background, indistinguishable from life, accurate anatomy, accurate fingers"' \
-i 'go_fast=false' \
-i 'lora_scale=1' \
-i 'megapixels="1"' \
-i 'num_outputs=1' \
-i 'aspect_ratio="16:9"' \
-i 'output_format="webp"' \
-i 'guidance_scale=4.5' \
-i 'output_quality=100' \
-i 'prompt_strength=0.8' \
-i 'extra_lora_scale=1' \
-i 'num_inference_steps=28'
To learn more, take a look at the Cog documentation.
Run this to download the model and run it in your local environment:
docker run -d -p 5000:5000 --gpus=all r8.im/alekseycalvin/acsoonr_flux@sha256:fd7de6f580fea2cf6af655ed1e376855ce5a6d5e9fa18b2c1bd0bdf3dfb05cdc
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "model": "dev", "prompt": "photo of acs person with green eyes and brown hair, full height, realistic hands, strolling alone through Revolutionary Soviet Petrograd in 1920 during the winter, photorealistic analog film photography, lifelike ACS person features, photorealistic textured skin and clothing details, best quality dslr mirrorless camera professional photography, extremely detailed intricate historically-accurate background, indistinguishable from life, accurate anatomy, accurate fingers", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "webp", "guidance_scale": 4.5, "output_quality": 100, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } }' \ http://localhost:5000/predictions
To learn more, take a look at the Cog documentation.
Add a payment method to run this model.
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terms of service and privacy policy
Output
{
"completed_at": "2024-08-18T12:24:18.003416Z",
"created_at": "2024-08-18T12:21:27.912000Z",
"data_removed": false,
"error": null,
"id": "p31m3avgx1rm60chcnqrcqrh50",
"input": {
"model": "dev",
"prompt": "photo of acs person with green eyes and brown hair, full height, realistic hands, strolling alone through Revolutionary Soviet Petrograd in 1920 during the winter, photorealistic analog film photography, lifelike ACS person features, photorealistic textured skin and clothing details, best quality dslr mirrorless camera professional photography, extremely detailed intricate historically-accurate background, indistinguishable from life, accurate anatomy, accurate fingers",
"lora_scale": 1,
"num_outputs": 1,
"aspect_ratio": "16:9",
"output_format": "webp",
"guidance_scale": 4.5,
"output_quality": 100,
"num_inference_steps": 28
},
"logs": "Using seed: 50401\nPrompt: photo of acs person with green eyes and brown hair, full height, realistic hands, strolling alone through Revolutionary Soviet Petrograd in 1920 during the winter, photorealistic analog film photography, lifelike ACS person features, photorealistic textured skin and clothing details, best quality dslr mirrorless camera professional photography, extremely detailed intricate historically-accurate background, indistinguishable from life, accurate anatomy, accurate fingers\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nEnsuring enough disk space...\nFree disk space: 9592033103872\nDownloading weights\n2024-08-18T12:23:57Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/9ddbe3aab1e62bfa url=https://replicate.delivery/yhqm/qxdssHbNcibvPxpxAfAobaQNC3W30qL8ogUiRMjn3gCtX4pJA/trained_model.tar\n2024-08-18T12:23:59Z | INFO | [ Complete ] dest=/src/weights-cache/9ddbe3aab1e62bfa size=\"172 MB\" total_elapsed=1.565s url=https://replicate.delivery/yhqm/qxdssHbNcibvPxpxAfAobaQNC3W30qL8ogUiRMjn3gCtX4pJA/trained_model.tar\nb''\nDownloaded weights in 1.5929653644561768 seconds\nLoRA weights loaded successfully\nToken indices sequence length is longer than the specified maximum sequence length for this model (85 > 77). Running this sequence through the model will result in indexing errors\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['from life, accurate anatomy, accurate fingers']\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:09, 2.97it/s]\n 7%|▋ | 2/28 [00:00<00:06, 3.81it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.76it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.72it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.70it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.70it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.69it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.69it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.68it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.69it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.69it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.69it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.68it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.69it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.69it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.69it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.68it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.69it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.69it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.69it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.68it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.68it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.68it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.68it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.68it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.68it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.69it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.68it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.68it/s]",
"metrics": {
"predict_time": 20.359637672,
"total_time": 170.091416
},
"output": [
"https://replicate.delivery/yhqm/c20Va5UfdoxRdKew3vtBpNn34ljGFyU6vI1K931FOPGxn5TTA/out-0.webp"
],
"started_at": "2024-08-18T12:23:57.643778Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/p31m3avgx1rm60chcnqrcqrh50",
"cancel": "https://api.replicate.com/v1/predictions/p31m3avgx1rm60chcnqrcqrh50/cancel"
},
"version": "fd7de6f580fea2cf6af655ed1e376855ce5a6d5e9fa18b2c1bd0bdf3dfb05cdc"
}
Using seed: 50401
Prompt: photo of acs person with green eyes and brown hair, full height, realistic hands, strolling alone through Revolutionary Soviet Petrograd in 1920 during the winter, photorealistic analog film photography, lifelike ACS person features, photorealistic textured skin and clothing details, best quality dslr mirrorless camera professional photography, extremely detailed intricate historically-accurate background, indistinguishable from life, accurate anatomy, accurate fingers
txt2img mode
Using dev model
Loading LoRA weights
Ensuring enough disk space...
Free disk space: 9592033103872
Downloading weights
2024-08-18T12:23:57Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/9ddbe3aab1e62bfa url=https://replicate.delivery/yhqm/qxdssHbNcibvPxpxAfAobaQNC3W30qL8ogUiRMjn3gCtX4pJA/trained_model.tar
2024-08-18T12:23:59Z | INFO | [ Complete ] dest=/src/weights-cache/9ddbe3aab1e62bfa size="172 MB" total_elapsed=1.565s url=https://replicate.delivery/yhqm/qxdssHbNcibvPxpxAfAobaQNC3W30qL8ogUiRMjn3gCtX4pJA/trained_model.tar
b''
Downloaded weights in 1.5929653644561768 seconds
LoRA weights loaded successfully
Token indices sequence length is longer than the specified maximum sequence length for this model (85 > 77). Running this sequence through the model will result in indexing errors
The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['from life, accurate anatomy, accurate fingers']
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