Readme
This model doesn't have a readme.
Restyle an image with the style of another one. I strongly suggest to upscale the results with Clarity AI
Run this model in Node.js with one line of code:
npm install replicate
REPLICATE_API_TOKEN
environment variableexport 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 batouresearch/magic-style-transfer using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"batouresearch/magic-style-transfer:3b5fa5d360c361090f11164292e45cc5d14cea8d089591d47c580cac9ec1c7ca",
{
input: {
image: "https://replicate.delivery/pbxt/KbUKCMMihGkSc5MXYYYkjEI6hlf1GNmGgwugu6JfSQATqiCN/3d.jpeg",
prompt: "modern interior living room",
ip_image: "https://replicate.delivery/pbxt/KbUKD3uoQjyTzdWbeAqYrypl0RWVJc0gI5UHHa3yYWNaqIoc/DALL%C2%B7E%202024-03-20%2017.57.33%20-%20Create%20a%20professional%20photograph%20of%20a%20modern%20interior%20design.%20This%20image%20should%20capture%20a%20living%20room%20space%20that%20combines%20contemporary%20elegance%20with%20c.webp",
ip_scale: 1,
strength: 1,
scheduler: "K_EULER",
lora_scale: 0.9,
num_outputs: 1,
guidance_scale: 4,
resizing_scale: 1,
apply_watermark: true,
negative_prompt: "",
background_color: "#A2A2A2",
num_inference_steps: 30,
condition_canny_scale: 0.5,
condition_depth_scale: 0.5
}
}
);
console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
REPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import replicate
Run batouresearch/magic-style-transfer using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"batouresearch/magic-style-transfer:3b5fa5d360c361090f11164292e45cc5d14cea8d089591d47c580cac9ec1c7ca",
input={
"image": "https://replicate.delivery/pbxt/KbUKCMMihGkSc5MXYYYkjEI6hlf1GNmGgwugu6JfSQATqiCN/3d.jpeg",
"prompt": "modern interior living room",
"ip_image": "https://replicate.delivery/pbxt/KbUKD3uoQjyTzdWbeAqYrypl0RWVJc0gI5UHHa3yYWNaqIoc/DALL%C2%B7E%202024-03-20%2017.57.33%20-%20Create%20a%20professional%20photograph%20of%20a%20modern%20interior%20design.%20This%20image%20should%20capture%20a%20living%20room%20space%20that%20combines%20contemporary%20elegance%20with%20c.webp",
"ip_scale": 1,
"strength": 1,
"scheduler": "K_EULER",
"lora_scale": 0.9,
"num_outputs": 1,
"guidance_scale": 4,
"resizing_scale": 1,
"apply_watermark": True,
"negative_prompt": "",
"background_color": "#A2A2A2",
"num_inference_steps": 30,
"condition_canny_scale": 0.5,
"condition_depth_scale": 0.5
}
)
print(output)
To learn more, take a look at the guide on getting started with Python.
REPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run batouresearch/magic-style-transfer 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": "3b5fa5d360c361090f11164292e45cc5d14cea8d089591d47c580cac9ec1c7ca",
"input": {
"image": "https://replicate.delivery/pbxt/KbUKCMMihGkSc5MXYYYkjEI6hlf1GNmGgwugu6JfSQATqiCN/3d.jpeg",
"prompt": "modern interior living room",
"ip_image": "https://replicate.delivery/pbxt/KbUKD3uoQjyTzdWbeAqYrypl0RWVJc0gI5UHHa3yYWNaqIoc/DALL%C2%B7E%202024-03-20%2017.57.33%20-%20Create%20a%20professional%20photograph%20of%20a%20modern%20interior%20design.%20This%20image%20should%20capture%20a%20living%20room%20space%20that%20combines%20contemporary%20elegance%20with%20c.webp",
"ip_scale": 1,
"strength": 1,
"scheduler": "K_EULER",
"lora_scale": 0.9,
"num_outputs": 1,
"guidance_scale": 4,
"resizing_scale": 1,
"apply_watermark": true,
"negative_prompt": "",
"background_color": "#A2A2A2",
"num_inference_steps": 30,
"condition_canny_scale": 0.5,
"condition_depth_scale": 0.5
}
}' \
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.
Pull and run batouresearch/magic-style-transfer using Cog (this will download the full model and run it in your local environment):
cog predict r8.im/batouresearch/magic-style-transfer@sha256:3b5fa5d360c361090f11164292e45cc5d14cea8d089591d47c580cac9ec1c7ca \
-i 'image="https://replicate.delivery/pbxt/KbUKCMMihGkSc5MXYYYkjEI6hlf1GNmGgwugu6JfSQATqiCN/3d.jpeg"' \
-i 'prompt="modern interior living room"' \
-i 'ip_image="https://replicate.delivery/pbxt/KbUKD3uoQjyTzdWbeAqYrypl0RWVJc0gI5UHHa3yYWNaqIoc/DALL%C2%B7E%202024-03-20%2017.57.33%20-%20Create%20a%20professional%20photograph%20of%20a%20modern%20interior%20design.%20This%20image%20should%20capture%20a%20living%20room%20space%20that%20combines%20contemporary%20elegance%20with%20c.webp"' \
-i 'ip_scale=1' \
-i 'strength=1' \
-i 'scheduler="K_EULER"' \
-i 'lora_scale=0.9' \
-i 'num_outputs=1' \
-i 'guidance_scale=4' \
-i 'resizing_scale=1' \
-i 'apply_watermark=true' \
-i 'negative_prompt=""' \
-i 'background_color="#A2A2A2"' \
-i 'num_inference_steps=30' \
-i 'condition_canny_scale=0.5' \
-i 'condition_depth_scale=0.5'
To learn more, take a look at the Cog documentation.
Pull and run batouresearch/magic-style-transfer using Docker (this will download the full model and run it in your local environment):
docker run -d -p 5000:5000 --gpus=all r8.im/batouresearch/magic-style-transfer@sha256:3b5fa5d360c361090f11164292e45cc5d14cea8d089591d47c580cac9ec1c7ca
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "image": "https://replicate.delivery/pbxt/KbUKCMMihGkSc5MXYYYkjEI6hlf1GNmGgwugu6JfSQATqiCN/3d.jpeg", "prompt": "modern interior living room", "ip_image": "https://replicate.delivery/pbxt/KbUKD3uoQjyTzdWbeAqYrypl0RWVJc0gI5UHHa3yYWNaqIoc/DALL%C2%B7E%202024-03-20%2017.57.33%20-%20Create%20a%20professional%20photograph%20of%20a%20modern%20interior%20design.%20This%20image%20should%20capture%20a%20living%20room%20space%20that%20combines%20contemporary%20elegance%20with%20c.webp", "ip_scale": 1, "strength": 1, "scheduler": "K_EULER", "lora_scale": 0.9, "num_outputs": 1, "guidance_scale": 4, "resizing_scale": 1, "apply_watermark": true, "negative_prompt": "", "background_color": "#A2A2A2", "num_inference_steps": 30, "condition_canny_scale": 0.5, "condition_depth_scale": 0.5 } }' \ http://localhost:5000/predictions
Add a payment method to run this model.
Each run costs approximately $0.010. Alternatively, try out our featured models for free.
By signing in, you agree to our
terms of service and privacy policy
{
"completed_at": "2024-03-20T17:01:32.618449Z",
"created_at": "2024-03-20T16:58:43.897037Z",
"data_removed": false,
"error": null,
"id": "imodeq3bqxpre5bebcdqoi75l4",
"input": {
"image": "https://replicate.delivery/pbxt/KbUKCMMihGkSc5MXYYYkjEI6hlf1GNmGgwugu6JfSQATqiCN/3d.jpeg",
"prompt": "modern interior living room",
"ip_image": "https://replicate.delivery/pbxt/KbUKD3uoQjyTzdWbeAqYrypl0RWVJc0gI5UHHa3yYWNaqIoc/DALL%C2%B7E%202024-03-20%2017.57.33%20-%20Create%20a%20professional%20photograph%20of%20a%20modern%20interior%20design.%20This%20image%20should%20capture%20a%20living%20room%20space%20that%20combines%20contemporary%20elegance%20with%20c.webp",
"ip_scale": 1,
"strength": 1,
"scheduler": "K_EULER",
"lora_scale": 0.9,
"num_outputs": 1,
"guidance_scale": 4,
"resizing_scale": 1,
"apply_watermark": true,
"negative_prompt": "",
"background_color": "#A2A2A2",
"num_inference_steps": 30,
"condition_canny_scale": 0.5,
"condition_depth_scale": 0.5
},
"logs": "Using seed: 28214\nPrompt: modern interior living room\nOriginal width:1024, height:1024\nAspect Ratio: 1.00\nnew_width:1024, new_height:1024\nYou have 2 ControlNets and you have passed 1 prompts. The conditionings will be fixed across the prompts.\n 0%| | 0/30 [00:00<?, ?it/s]\n 3%|▎ | 1/30 [00:00<00:13, 2.17it/s]\n 7%|▋ | 2/30 [00:00<00:10, 2.69it/s]\n 10%|█ | 3/30 [00:01<00:10, 2.59it/s]\n 13%|█▎ | 4/30 [00:01<00:10, 2.55it/s]\n 17%|█▋ | 5/30 [00:01<00:09, 2.52it/s]\n 20%|██ | 6/30 [00:02<00:09, 2.51it/s]\n 23%|██▎ | 7/30 [00:02<00:09, 2.50it/s]\n 27%|██▋ | 8/30 [00:03<00:08, 2.49it/s]\n 30%|███ | 9/30 [00:03<00:08, 2.49it/s]\n 33%|███▎ | 10/30 [00:03<00:08, 2.49it/s]\n 37%|███▋ | 11/30 [00:04<00:07, 2.49it/s]\n 40%|████ | 12/30 [00:04<00:07, 2.49it/s]\n 43%|████▎ | 13/30 [00:05<00:06, 2.49it/s]\n 47%|████▋ | 14/30 [00:05<00:06, 2.49it/s]\n 50%|█████ | 15/30 [00:05<00:06, 2.49it/s]\n 53%|█████▎ | 16/30 [00:06<00:05, 2.49it/s]\n 57%|█████▋ | 17/30 [00:06<00:05, 2.48it/s]\n 60%|██████ | 18/30 [00:07<00:04, 2.48it/s]\n 63%|██████▎ | 19/30 [00:07<00:04, 2.48it/s]\n 67%|██████▋ | 20/30 [00:08<00:04, 2.49it/s]\n 70%|███████ | 21/30 [00:08<00:03, 2.48it/s]\n 73%|███████▎ | 22/30 [00:08<00:03, 2.49it/s]\n 77%|███████▋ | 23/30 [00:09<00:02, 2.49it/s]\n 80%|████████ | 24/30 [00:09<00:02, 2.49it/s]\n 83%|████████▎ | 25/30 [00:10<00:02, 2.49it/s]\n 87%|████████▋ | 26/30 [00:10<00:01, 2.49it/s]\n 90%|█████████ | 27/30 [00:10<00:01, 2.49it/s]\n 93%|█████████▎| 28/30 [00:11<00:00, 2.49it/s]\n 97%|█████████▋| 29/30 [00:11<00:00, 2.49it/s]\n100%|██████████| 30/30 [00:12<00:00, 2.49it/s]\n100%|██████████| 30/30 [00:12<00:00, 2.49it/s]",
"metrics": {
"predict_time": 14.568553,
"total_time": 168.721412
},
"output": [
"https://replicate.delivery/pbxt/CgdTGuA9wdoWGhVUMgpPIv9mh4rpLnYYViUmeLKV8wF2QGRJA/out-0.png"
],
"started_at": "2024-03-20T17:01:18.049896Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/imodeq3bqxpre5bebcdqoi75l4",
"cancel": "https://api.replicate.com/v1/predictions/imodeq3bqxpre5bebcdqoi75l4/cancel"
},
"version": "3b5fa5d360c361090f11164292e45cc5d14cea8d089591d47c580cac9ec1c7ca"
}
Using seed: 28214
Prompt: modern interior living room
Original width:1024, height:1024
Aspect Ratio: 1.00
new_width:1024, new_height:1024
You have 2 ControlNets and you have passed 1 prompts. The conditionings will be fixed across the prompts.
0%| | 0/30 [00:00<?, ?it/s]
3%|▎ | 1/30 [00:00<00:13, 2.17it/s]
7%|▋ | 2/30 [00:00<00:10, 2.69it/s]
10%|█ | 3/30 [00:01<00:10, 2.59it/s]
13%|█▎ | 4/30 [00:01<00:10, 2.55it/s]
17%|█▋ | 5/30 [00:01<00:09, 2.52it/s]
20%|██ | 6/30 [00:02<00:09, 2.51it/s]
23%|██▎ | 7/30 [00:02<00:09, 2.50it/s]
27%|██▋ | 8/30 [00:03<00:08, 2.49it/s]
30%|███ | 9/30 [00:03<00:08, 2.49it/s]
33%|███▎ | 10/30 [00:03<00:08, 2.49it/s]
37%|███▋ | 11/30 [00:04<00:07, 2.49it/s]
40%|████ | 12/30 [00:04<00:07, 2.49it/s]
43%|████▎ | 13/30 [00:05<00:06, 2.49it/s]
47%|████▋ | 14/30 [00:05<00:06, 2.49it/s]
50%|█████ | 15/30 [00:05<00:06, 2.49it/s]
53%|█████▎ | 16/30 [00:06<00:05, 2.49it/s]
57%|█████▋ | 17/30 [00:06<00:05, 2.48it/s]
60%|██████ | 18/30 [00:07<00:04, 2.48it/s]
63%|██████▎ | 19/30 [00:07<00:04, 2.48it/s]
67%|██████▋ | 20/30 [00:08<00:04, 2.49it/s]
70%|███████ | 21/30 [00:08<00:03, 2.48it/s]
73%|███████▎ | 22/30 [00:08<00:03, 2.49it/s]
77%|███████▋ | 23/30 [00:09<00:02, 2.49it/s]
80%|████████ | 24/30 [00:09<00:02, 2.49it/s]
83%|████████▎ | 25/30 [00:10<00:02, 2.49it/s]
87%|████████▋ | 26/30 [00:10<00:01, 2.49it/s]
90%|█████████ | 27/30 [00:10<00:01, 2.49it/s]
93%|█████████▎| 28/30 [00:11<00:00, 2.49it/s]
97%|█████████▋| 29/30 [00:11<00:00, 2.49it/s]
100%|██████████| 30/30 [00:12<00:00, 2.49it/s]
100%|██████████| 30/30 [00:12<00:00, 2.49it/s]
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 L40S GPU hardware. Predictions typically complete within 11 seconds. The predict time for this model varies significantly based on the inputs.
This model doesn't have a readme.
This model is cold. 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
Using seed: 28214
Prompt: modern interior living room
Original width:1024, height:1024
Aspect Ratio: 1.00
new_width:1024, new_height:1024
You have 2 ControlNets and you have passed 1 prompts. The conditionings will be fixed across the prompts.
0%| | 0/30 [00:00<?, ?it/s]
3%|▎ | 1/30 [00:00<00:13, 2.17it/s]
7%|▋ | 2/30 [00:00<00:10, 2.69it/s]
10%|█ | 3/30 [00:01<00:10, 2.59it/s]
13%|█▎ | 4/30 [00:01<00:10, 2.55it/s]
17%|█▋ | 5/30 [00:01<00:09, 2.52it/s]
20%|██ | 6/30 [00:02<00:09, 2.51it/s]
23%|██▎ | 7/30 [00:02<00:09, 2.50it/s]
27%|██▋ | 8/30 [00:03<00:08, 2.49it/s]
30%|███ | 9/30 [00:03<00:08, 2.49it/s]
33%|███▎ | 10/30 [00:03<00:08, 2.49it/s]
37%|███▋ | 11/30 [00:04<00:07, 2.49it/s]
40%|████ | 12/30 [00:04<00:07, 2.49it/s]
43%|████▎ | 13/30 [00:05<00:06, 2.49it/s]
47%|████▋ | 14/30 [00:05<00:06, 2.49it/s]
50%|█████ | 15/30 [00:05<00:06, 2.49it/s]
53%|█████▎ | 16/30 [00:06<00:05, 2.49it/s]
57%|█████▋ | 17/30 [00:06<00:05, 2.48it/s]
60%|██████ | 18/30 [00:07<00:04, 2.48it/s]
63%|██████▎ | 19/30 [00:07<00:04, 2.48it/s]
67%|██████▋ | 20/30 [00:08<00:04, 2.49it/s]
70%|███████ | 21/30 [00:08<00:03, 2.48it/s]
73%|███████▎ | 22/30 [00:08<00:03, 2.49it/s]
77%|███████▋ | 23/30 [00:09<00:02, 2.49it/s]
80%|████████ | 24/30 [00:09<00:02, 2.49it/s]
83%|████████▎ | 25/30 [00:10<00:02, 2.49it/s]
87%|████████▋ | 26/30 [00:10<00:01, 2.49it/s]
90%|█████████ | 27/30 [00:10<00:01, 2.49it/s]
93%|█████████▎| 28/30 [00:11<00:00, 2.49it/s]
97%|█████████▋| 29/30 [00:11<00:00, 2.49it/s]
100%|██████████| 30/30 [00:12<00:00, 2.49it/s]
100%|██████████| 30/30 [00:12<00:00, 2.49it/s]