Readme
This model doesn't have a readme.
Flux fine-tuned on art of ruin
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";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run fofr/flux-dark-art using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"fofr/flux-dark-art:758ece6b5039ac370d144c11384db9eb5be72bed7f914bd313f12d7ef928b461",
{
input: {
model: "dev",
prompt: "a dark and moody DRK_ART painting of a scary apparition in a shop storefront, classical art, liminal places",
go_fast: false,
lora_scale: 1,
megapixels: "1",
num_outputs: 1,
aspect_ratio: "1:1",
output_format: "webp",
guidance_scale: 3,
output_quality: 80,
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 fofr/flux-dark-art using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"fofr/flux-dark-art:758ece6b5039ac370d144c11384db9eb5be72bed7f914bd313f12d7ef928b461",
input={
"model": "dev",
"prompt": "a dark and moody DRK_ART painting of a scary apparition in a shop storefront, classical art, liminal places",
"go_fast": False,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "webp",
"guidance_scale": 3,
"output_quality": 80,
"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 fofr/flux-dark-art 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-dark-art:758ece6b5039ac370d144c11384db9eb5be72bed7f914bd313f12d7ef928b461",
"input": {
"model": "dev",
"prompt": "a dark and moody DRK_ART painting of a scary apparition in a shop storefront, classical art, liminal places",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "webp",
"guidance_scale": 3,
"output_quality": 80,
"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.
Add a payment method to run this model.
By signing in, you agree to our
terms of service and privacy policy
{
"completed_at": "2024-12-18T23:45:10.233334Z",
"created_at": "2024-12-18T23:45:03.688000Z",
"data_removed": false,
"error": null,
"id": "056xhv12s1rma0ckvgmr6mrep4",
"input": {
"model": "dev",
"prompt": "a dark and moody DRK_ART painting of a scary apparition in a shop storefront, classical art, liminal places",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "webp",
"guidance_scale": 3,
"output_quality": 80,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 28
},
"logs": "2024-12-18 23:45:03.704 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-18 23:45:03.704 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/76 [00:00<?, ?it/s]\nApplying LoRA: 100%|██████████| 76/76 [00:00<00:00, 9515.15it/s]\n2024-12-18 23:45:03.712 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-18 23:45:03.713 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 85%|████████▍ | 258/304 [00:00<00:00, 2547.69it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2488.50it/s]\n2024-12-18 23:45:03.835 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.13s\n2024-12-18 23:45:03.837 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/f8af20564343290b\n2024-12-18 23:45:03.963 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2024-12-18 23:45:03.963 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-18 23:45:03.964 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 91%|█████████▏| 278/304 [00:00<00:00, 2762.90it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2707.80it/s]\n2024-12-18 23:45:04.076 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.24s\nUsing seed: 13487\n0it [00:00, ?it/s]\n1it [00:00, 8.36it/s]\n2it [00:00, 5.84it/s]\n3it [00:00, 5.32it/s]\n4it [00:00, 5.09it/s]\n5it [00:00, 4.93it/s]\n6it [00:01, 4.85it/s]\n7it [00:01, 4.83it/s]\n8it [00:01, 4.82it/s]\n9it [00:01, 4.81it/s]\n10it [00:02, 4.79it/s]\n11it [00:02, 4.77it/s]\n12it [00:02, 4.77it/s]\n13it [00:02, 4.77it/s]\n14it [00:02, 4.77it/s]\n15it [00:03, 4.76it/s]\n16it [00:03, 4.75it/s]\n17it [00:03, 4.76it/s]\n18it [00:03, 4.76it/s]\n19it [00:03, 4.75it/s]\n20it [00:04, 4.75it/s]\n21it [00:04, 4.74it/s]\n22it [00:04, 4.75it/s]\n23it [00:04, 4.76it/s]\n24it [00:04, 4.75it/s]\n25it [00:05, 4.75it/s]\n26it [00:05, 4.75it/s]\n27it [00:05, 4.76it/s]\n28it [00:05, 4.76it/s]\n28it [00:05, 4.83it/s]\nTotal safe images: 1 out of 1",
"metrics": {
"predict_time": 6.527717652,
"total_time": 6.545334
},
"output": [
"https://replicate.delivery/xezq/SQ5vDWRn6QqJDdHH4hjxpORde2UsvlxEBu9QlrK514QDhIeTA/out-0.webp"
],
"started_at": "2024-12-18T23:45:03.705617Z",
"status": "succeeded",
"urls": {
"stream": "https://stream.replicate.com/v1/files/bcwr-dxcdfirtf2xzzirw2lm632sz5255ec23xtkjfyxvlravbdjrqgga",
"get": "https://api.replicate.com/v1/predictions/056xhv12s1rma0ckvgmr6mrep4",
"cancel": "https://api.replicate.com/v1/predictions/056xhv12s1rma0ckvgmr6mrep4/cancel"
},
"version": "758ece6b5039ac370d144c11384db9eb5be72bed7f914bd313f12d7ef928b461"
}
2024-12-18 23:45:03.704 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2024-12-18 23:45:03.704 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA: 0%| | 0/76 [00:00<?, ?it/s]
Applying LoRA: 100%|██████████| 76/76 [00:00<00:00, 9515.15it/s]
2024-12-18 23:45:03.712 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2024-12-18 23:45:03.713 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s]
Applying LoRA: 85%|████████▍ | 258/304 [00:00<00:00, 2547.69it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2488.50it/s]
2024-12-18 23:45:03.835 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.13s
2024-12-18 23:45:03.837 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/f8af20564343290b
2024-12-18 23:45:03.963 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded
2024-12-18 23:45:03.963 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2024-12-18 23:45:03.964 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s]
Applying LoRA: 91%|█████████▏| 278/304 [00:00<00:00, 2762.90it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2707.80it/s]
2024-12-18 23:45:04.076 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.24s
Using seed: 13487
0it [00:00, ?it/s]
1it [00:00, 8.36it/s]
2it [00:00, 5.84it/s]
3it [00:00, 5.32it/s]
4it [00:00, 5.09it/s]
5it [00:00, 4.93it/s]
6it [00:01, 4.85it/s]
7it [00:01, 4.83it/s]
8it [00:01, 4.82it/s]
9it [00:01, 4.81it/s]
10it [00:02, 4.79it/s]
11it [00:02, 4.77it/s]
12it [00:02, 4.77it/s]
13it [00:02, 4.77it/s]
14it [00:02, 4.77it/s]
15it [00:03, 4.76it/s]
16it [00:03, 4.75it/s]
17it [00:03, 4.76it/s]
18it [00:03, 4.76it/s]
19it [00:03, 4.75it/s]
20it [00:04, 4.75it/s]
21it [00:04, 4.74it/s]
22it [00:04, 4.75it/s]
23it [00:04, 4.76it/s]
24it [00:04, 4.75it/s]
25it [00:05, 4.75it/s]
26it [00:05, 4.75it/s]
27it [00:05, 4.76it/s]
28it [00:05, 4.76it/s]
28it [00:05, 4.83it/s]
Total safe images: 1 out of 1
This model costs approximately $0.010 to run on Replicate, or 100 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.
This model runs on Nvidia H100 GPU hardware. Predictions typically complete within 7 seconds.
This model doesn't have a readme.
This model is warm. You'll get a fast response if the model is warm and already running, and a slower response if the model is cold and starting up.
Choose a file from your machine
Hint: you can also drag files onto the input
Choose a file from your machine
Hint: you can also drag files onto the input
2024-12-18 23:45:03.704 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2024-12-18 23:45:03.704 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA: 0%| | 0/76 [00:00<?, ?it/s]
Applying LoRA: 100%|██████████| 76/76 [00:00<00:00, 9515.15it/s]
2024-12-18 23:45:03.712 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2024-12-18 23:45:03.713 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s]
Applying LoRA: 85%|████████▍ | 258/304 [00:00<00:00, 2547.69it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2488.50it/s]
2024-12-18 23:45:03.835 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.13s
2024-12-18 23:45:03.837 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/f8af20564343290b
2024-12-18 23:45:03.963 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded
2024-12-18 23:45:03.963 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2024-12-18 23:45:03.964 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s]
Applying LoRA: 91%|█████████▏| 278/304 [00:00<00:00, 2762.90it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2707.80it/s]
2024-12-18 23:45:04.076 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.24s
Using seed: 13487
0it [00:00, ?it/s]
1it [00:00, 8.36it/s]
2it [00:00, 5.84it/s]
3it [00:00, 5.32it/s]
4it [00:00, 5.09it/s]
5it [00:00, 4.93it/s]
6it [00:01, 4.85it/s]
7it [00:01, 4.83it/s]
8it [00:01, 4.82it/s]
9it [00:01, 4.81it/s]
10it [00:02, 4.79it/s]
11it [00:02, 4.77it/s]
12it [00:02, 4.77it/s]
13it [00:02, 4.77it/s]
14it [00:02, 4.77it/s]
15it [00:03, 4.76it/s]
16it [00:03, 4.75it/s]
17it [00:03, 4.76it/s]
18it [00:03, 4.76it/s]
19it [00:03, 4.75it/s]
20it [00:04, 4.75it/s]
21it [00:04, 4.74it/s]
22it [00:04, 4.75it/s]
23it [00:04, 4.76it/s]
24it [00:04, 4.75it/s]
25it [00:05, 4.75it/s]
26it [00:05, 4.75it/s]
27it [00:05, 4.76it/s]
28it [00:05, 4.76it/s]
28it [00:05, 4.83it/s]
Total safe images: 1 out of 1