typetext
{
"aspect_ratio": "1:1",
"extra_lora_scale": 1,
"go_fast": false,
"guidance_scale": 3,
"lora_scale": 1,
"megapixels": "1",
"model": "dev",
"num_inference_steps": 28,
"num_outputs": 1,
"output_format": "jpg",
"output_quality": 80,
"prompt": "HWRIT handwriting saying \"Hello, this is a handrwriting lora\", messy style, blue ink on paper",
"prompt_strength": 0.8
}npm install replicate
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_MTP**********************************
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 fofr/flux-handwriting using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"fofr/flux-handwriting:786bc82c11569935506ad1d9ae1b712c0a274cc4b75c23d2d9bd42e232540f1e",
{
input: {
aspect_ratio: "1:1",
extra_lora_scale: 1,
go_fast: false,
guidance_scale: 3,
lora_scale: 1,
megapixels: "1",
model: "dev",
num_inference_steps: 28,
num_outputs: 1,
output_format: "jpg",
output_quality: 80,
prompt: "HWRIT handwriting saying \"Hello, this is a handrwriting lora\", messy style, blue ink on paper",
prompt_strength: 0.8
}
}
);
// 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_MTP**********************************
This is your API token. Keep it to yourself.
import replicate
Run fofr/flux-handwriting using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"fofr/flux-handwriting:786bc82c11569935506ad1d9ae1b712c0a274cc4b75c23d2d9bd42e232540f1e",
input={
"aspect_ratio": "1:1",
"extra_lora_scale": 1,
"go_fast": False,
"guidance_scale": 3,
"lora_scale": 1,
"megapixels": "1",
"model": "dev",
"num_inference_steps": 28,
"num_outputs": 1,
"output_format": "jpg",
"output_quality": 80,
"prompt": "HWRIT handwriting saying \"Hello, this is a handrwriting lora\", messy style, blue ink on paper",
"prompt_strength": 0.8
}
)
# 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_MTP**********************************
This is your API token. Keep it to yourself.
Run fofr/flux-handwriting 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": "fofr/flux-handwriting:786bc82c11569935506ad1d9ae1b712c0a274cc4b75c23d2d9bd42e232540f1e",
"input": {
"aspect_ratio": "1:1",
"extra_lora_scale": 1,
"go_fast": false,
"guidance_scale": 3,
"lora_scale": 1,
"megapixels": "1",
"model": "dev",
"num_inference_steps": 28,
"num_outputs": 1,
"output_format": "jpg",
"output_quality": 80,
"prompt": "HWRIT handwriting saying \\"Hello, this is a handrwriting lora\\", messy style, blue ink on paper",
"prompt_strength": 0.8
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
{
"id": "7qc3px66q9rma0ckrm5ahx0bqw",
"model": "fofr/flux-handwriting",
"version": "786bc82c11569935506ad1d9ae1b712c0a274cc4b75c23d2d9bd42e232540f1e",
"input": {
"aspect_ratio": "1:1",
"extra_lora_scale": 1,
"go_fast": false,
"guidance_scale": 3,
"lora_scale": 1,
"megapixels": "1",
"model": "dev",
"num_inference_steps": 28,
"num_outputs": 1,
"output_format": "jpg",
"output_quality": 80,
"prompt": "HWRIT handwriting saying \"Hello, this is a handrwriting lora\", messy style, blue ink on paper",
"prompt_strength": 0.8
},
"logs": "2024-12-14 12:00:38.739 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-14 12:00:38.740 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 93%|█████████▎| 282/304 [00:00<00:00, 2818.32it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2713.85it/s]\n2024-12-14 12:00:38.852 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s\nfree=28625520238592\nDownloading weights\n2024-12-14T12:00:38Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpbhe_ng3e/weights url=https://replicate.delivery/xezq/xZRxaJALQcpfMalp2QtYfcAoJ4pHl4xDfwTpimS7OXhFlk1nA/trained_model.tar\n2024-12-14T12:00:39Z | INFO | [ Complete ] dest=/tmp/tmpbhe_ng3e/weights size=\"172 MB\" total_elapsed=0.562s url=https://replicate.delivery/xezq/xZRxaJALQcpfMalp2QtYfcAoJ4pHl4xDfwTpimS7OXhFlk1nA/trained_model.tar\nDownloaded weights in 0.59s\n2024-12-14 12:00:39.442 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/c3399d28a5b321f6\n2024-12-14 12:00:39.518 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2024-12-14 12:00:39.518 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-14 12:00:39.519 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 93%|█████████▎| 282/304 [00:00<00:00, 2819.67it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2714.94it/s]\n2024-12-14 12:00:39.631 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.19s\nUsing seed: 14367\n0it [00:00, ?it/s]\n1it [00:00, 8.40it/s]\n2it [00:00, 5.87it/s]\n3it [00:00, 5.36it/s]\n4it [00:00, 5.15it/s]\n5it [00:00, 5.02it/s]\n6it [00:01, 4.93it/s]\n7it [00:01, 4.90it/s]\n8it [00:01, 4.88it/s]\n9it [00:01, 4.87it/s]\n10it [00:01, 4.86it/s]\n11it [00:02, 4.85it/s]\n12it [00:02, 4.83it/s]\n13it [00:02, 4.83it/s]\n14it [00:02, 4.83it/s]\n15it [00:03, 4.82it/s]\n16it [00:03, 4.82it/s]\n17it [00:03, 4.81it/s]\n18it [00:03, 4.81it/s]\n19it [00:03, 4.81it/s]\n20it [00:04, 4.81it/s]\n21it [00:04, 4.82it/s]\n22it [00:04, 4.82it/s]\n23it [00:04, 4.82it/s]\n24it [00:04, 4.81it/s]\n25it [00:05, 4.81it/s]\n26it [00:05, 4.81it/s]\n27it [00:05, 4.81it/s]\n28it [00:05, 4.82it/s]\n28it [00:05, 4.89it/s]\nTotal safe images: 1 out of 1",
"output": [
"https://replicate.delivery/xezq/OCjL5EeBDzUXNyrCX6q9z7exmhYW4qfVTJJKQCEkjev1WJrPB/out-0.jpg"
],
"data_removed": false,
"error": null,
"source": "web",
"status": "succeeded",
"created_at": "2024-12-14T12:00:38.074Z",
"started_at": "2024-12-14T12:00:38.740614Z",
"completed_at": "2024-12-14T12:00:45.658069Z",
"urls": {
"cancel": "https://api.replicate.com/v1/predictions/7qc3px66q9rma0ckrm5ahx0bqw/cancel",
"get": "https://api.replicate.com/v1/predictions/7qc3px66q9rma0ckrm5ahx0bqw",
"stream": "https://stream.replicate.com/v1/files/bcwr-brs4oie5w7hlxj6ekx2zcjjbetssqvtjwprbssmatmis4l2lijwq",
"web": "https://replicate.com/p/7qc3px66q9rma0ckrm5ahx0bqw"
},
"metrics": {
"predict_time": 6.9174548829999996,
"total_time": 7.584069
}
}