typefile
ID
uz3rtkdb7nr6yv3jqe5xrhbcc4
Status
Succeeded
Source
Web
Hardware
A40 (Large)
Total duration
Created
Webhook
–
Input
- input_image
- prompt
- Pastel painting, with vibrant colours and good vibesdefaultA cozy cottage in an oil painting, with rich textures and vibrant green foliagetypetext
- a_prompt
- best quality, extremely detaileddefaultbest quality, extremely detailedtypetext
- n_prompt
- worst quality, low quality, lose detailsdefaultworst quality, low quality, lose detailstypetext
- image_resolution
- 896default896typenumeric-rangevalue typeintegerminimum256maximum896
- ddim_steps
- 20default20typenumeric-rangevalue typeintegerminimum1maximum50
- guess_mode
- falsetypeboolean
- strength
- 1default1typenumeric-rangevalue typenumbermaximum2
- scale
- 9default9typenumeric-rangevalue typenumberminimum0.1maximum50
- seed
- -1typenumericvalue typeinteger
- eta
- 0typenumericvalue typenumber
- mode
- P49defaultP49typeenumvalue typestringoptionsP49, R
- patch_number
- 256default256typenumeric-rangevalue typeintegerminimum1maximum256
- resolution_h
- 2160default2160typenumeric-rangevalue typeintegerminimum256maximum2700
- resolution_w
- 3840default3840typenumeric-rangevalue typeintegerminimum256maximum4800
- patch_size_h
- 540default540typenumeric-rangevalue typeintegerminimum256maximum675
- patch_size_w
- 960default960typenumeric-rangevalue typeintegerminimum256maximum1200
- color_map
- magmadefaultmagmatypeenumvalue typestringoptionsmagma, spectral
{
"a_prompt": "best quality, extremely detailed",
"color_map": "magma",
"ddim_steps": 20,
"eta": 0,
"guess_mode": false,
"image_resolution": 896,
"input_image": "https://replicate.delivery/pbxt/K7bks8mWnMxlQC19IPeFGtfr9YtGEUw5vgQhiu3olsD6vcoU/example_2.jpeg",
"mode": "P49",
"n_prompt": "worst quality, low quality, lose details",
"patch_number": 256,
"patch_size_h": 540,
"patch_size_w": 960,
"prompt": "Pastel painting, with vibrant colours and good vibes",
"resolution_h": 2160,
"resolution_w": 3840,
"scale": 9,
"seed": -1,
"strength": 1
}Install Replicate’s Node.js client library:
npm install replicate
Set the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_LNq**********************************
This is your API token. Keep it to yourself.
Import and set up the client:
import Replicate from "replicate";
import fs from "node:fs";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run zsxkib/patch-fusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"zsxkib/patch-fusion:db14d618e1a28b48decb7c91ff550d2f07e66cdb632630a65716f9be73c4d0ad",
{
input: {
a_prompt: "best quality, extremely detailed",
color_map: "magma",
ddim_steps: 20,
eta: 0,
guess_mode: false,
image_resolution: 896,
input_image: "https://replicate.delivery/pbxt/K7bks8mWnMxlQC19IPeFGtfr9YtGEUw5vgQhiu3olsD6vcoU/example_2.jpeg",
mode: "P49",
n_prompt: "worst quality, low quality, lose details",
patch_number: 256,
patch_size_h: 540,
patch_size_w: 960,
prompt: "Pastel painting, with vibrant colours and good vibes",
resolution_h: 2160,
resolution_w: 3840,
scale: 9,
seed: -1,
strength: 1
}
}
);
// 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 replicate
Set the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_LNq**********************************
This is your API token. Keep it to yourself.
Import the client:
import replicate
Run zsxkib/patch-fusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"zsxkib/patch-fusion:db14d618e1a28b48decb7c91ff550d2f07e66cdb632630a65716f9be73c4d0ad",
input={
"a_prompt": "best quality, extremely detailed",
"color_map": "magma",
"ddim_steps": 20,
"eta": 0,
"guess_mode": False,
"image_resolution": 896,
"input_image": "https://replicate.delivery/pbxt/K7bks8mWnMxlQC19IPeFGtfr9YtGEUw5vgQhiu3olsD6vcoU/example_2.jpeg",
"mode": "P49",
"n_prompt": "worst quality, low quality, lose details",
"patch_number": 256,
"patch_size_h": 540,
"patch_size_w": 960,
"prompt": "Pastel painting, with vibrant colours and good vibes",
"resolution_h": 2160,
"resolution_w": 3840,
"scale": 9,
"seed": -1,
"strength": 1
}
)
# 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.
Set the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_LNq**********************************
This is your API token. Keep it to yourself.
Run zsxkib/patch-fusion 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": "zsxkib/patch-fusion:db14d618e1a28b48decb7c91ff550d2f07e66cdb632630a65716f9be73c4d0ad",
"input": {
"a_prompt": "best quality, extremely detailed",
"color_map": "magma",
"ddim_steps": 20,
"eta": 0,
"guess_mode": false,
"image_resolution": 896,
"input_image": "https://replicate.delivery/pbxt/K7bks8mWnMxlQC19IPeFGtfr9YtGEUw5vgQhiu3olsD6vcoU/example_2.jpeg",
"mode": "P49",
"n_prompt": "worst quality, low quality, lose details",
"patch_number": 256,
"patch_size_h": 540,
"patch_size_w": 960,
"prompt": "Pastel painting, with vibrant colours and good vibes",
"resolution_h": 2160,
"resolution_w": 3840,
"scale": 9,
"seed": -1,
"strength": 1
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{
"id": "uz3rtkdb7nr6yv3jqe5xrhbcc4",
"model": "zsxkib/patch-fusion",
"version": "db14d618e1a28b48decb7c91ff550d2f07e66cdb632630a65716f9be73c4d0ad",
"input": {
"a_prompt": "best quality, extremely detailed",
"color_map": "magma",
"ddim_steps": 20,
"eta": 0,
"guess_mode": false,
"image_resolution": 896,
"input_image": "https://replicate.delivery/pbxt/K7bks8mWnMxlQC19IPeFGtfr9YtGEUw5vgQhiu3olsD6vcoU/example_2.jpeg",
"mode": "P49",
"n_prompt": "worst quality, low quality, lose details",
"patch_number": 256,
"patch_size_h": 540,
"patch_size_w": 960,
"prompt": "Pastel painting, with vibrant colours and good vibes",
"resolution_h": 2160,
"resolution_w": 3840,
"scale": 9,
"seed": -1,
"strength": 1
},
"logs": "Global seed set to 47720\nData shape for DDIM sampling is (1, 4, 112, 112), eta 0.0\nRunning DDIM Sampling with 20 timesteps\nDDIM Sampler: 0%| | 0/20 [00:00<?, ?it/s]\nDDIM Sampler: 5%|▌ | 1/20 [00:01<00:26, 1.39s/it]\nDDIM Sampler: 10%|█ | 2/20 [00:02<00:25, 1.39s/it]\nDDIM Sampler: 15%|█▌ | 3/20 [00:04<00:23, 1.39s/it]\nDDIM Sampler: 20%|██ | 4/20 [00:05<00:22, 1.39s/it]\nDDIM Sampler: 25%|██▌ | 5/20 [00:06<00:20, 1.39s/it]\nDDIM Sampler: 30%|███ | 6/20 [00:08<00:19, 1.39s/it]\nDDIM Sampler: 35%|███▌ | 7/20 [00:09<00:18, 1.39s/it]\nDDIM Sampler: 40%|████ | 8/20 [00:11<00:16, 1.40s/it]\nDDIM Sampler: 45%|████▌ | 9/20 [00:12<00:15, 1.40s/it]\nDDIM Sampler: 50%|█████ | 10/20 [00:13<00:13, 1.40s/it]\nDDIM Sampler: 55%|█████▌ | 11/20 [00:15<00:12, 1.40s/it]\nDDIM Sampler: 60%|██████ | 12/20 [00:16<00:11, 1.40s/it]\nDDIM Sampler: 65%|██████▌ | 13/20 [00:18<00:09, 1.40s/it]\nDDIM Sampler: 70%|███████ | 14/20 [00:19<00:08, 1.40s/it]\nDDIM Sampler: 75%|███████▌ | 15/20 [00:20<00:06, 1.40s/it]\nDDIM Sampler: 80%|████████ | 16/20 [00:22<00:05, 1.40s/it]\nDDIM Sampler: 85%|████████▌ | 17/20 [00:23<00:04, 1.40s/it]\nDDIM Sampler: 90%|█████████ | 18/20 [00:25<00:02, 1.40s/it]\nDDIM Sampler: 95%|█████████▌| 19/20 [00:26<00:01, 1.40s/it]\nDDIM Sampler: 100%|██████████| 20/20 [00:27<00:00, 1.40s/it]\nDDIM Sampler: 100%|██████████| 20/20 [00:27<00:00, 1.40s/it]",
"output": [
"https://replicate.delivery/pbxt/GeyWb4sL7iyMZaEGFxMT9dwOQrxlUbYVvgRNALoHGnyhaODJA/image_0.png",
"https://replicate.delivery/pbxt/A22SJX0yPe0efJVxg08pzmH5XkmwUoUKOB5R5DV6hlWJq5MkA/image_1.png"
],
"data_removed": false,
"error": null,
"source": "web",
"status": "succeeded",
"created_at": "2023-12-27T12:39:48.349408Z",
"started_at": "2023-12-27T12:39:48.410193Z",
"completed_at": "2023-12-27T12:40:36.870165Z",
"urls": {
"cancel": "https://api.replicate.com/v1/predictions/uz3rtkdb7nr6yv3jqe5xrhbcc4/cancel",
"get": "https://api.replicate.com/v1/predictions/uz3rtkdb7nr6yv3jqe5xrhbcc4"
},
"metrics": {
"predict_time": 48.459972,
"total_time": 48.520757
}
}Generated in
Global seed set to 47720
Data shape for DDIM sampling is (1, 4, 112, 112), eta 0.0
Running DDIM Sampling with 20 timesteps
DDIM Sampler: 0%| | 0/20 [00:00<?, ?it/s]
DDIM Sampler: 5%|▌ | 1/20 [00:01<00:26, 1.39s/it]
DDIM Sampler: 10%|█ | 2/20 [00:02<00:25, 1.39s/it]
DDIM Sampler: 15%|█▌ | 3/20 [00:04<00:23, 1.39s/it]
DDIM Sampler: 20%|██ | 4/20 [00:05<00:22, 1.39s/it]
DDIM Sampler: 25%|██▌ | 5/20 [00:06<00:20, 1.39s/it]
DDIM Sampler: 30%|███ | 6/20 [00:08<00:19, 1.39s/it]
DDIM Sampler: 35%|███▌ | 7/20 [00:09<00:18, 1.39s/it]
DDIM Sampler: 40%|████ | 8/20 [00:11<00:16, 1.40s/it]
DDIM Sampler: 45%|████▌ | 9/20 [00:12<00:15, 1.40s/it]
DDIM Sampler: 50%|█████ | 10/20 [00:13<00:13, 1.40s/it]
DDIM Sampler: 55%|█████▌ | 11/20 [00:15<00:12, 1.40s/it]
DDIM Sampler: 60%|██████ | 12/20 [00:16<00:11, 1.40s/it]
DDIM Sampler: 65%|██████▌ | 13/20 [00:18<00:09, 1.40s/it]
DDIM Sampler: 70%|███████ | 14/20 [00:19<00:08, 1.40s/it]
DDIM Sampler: 75%|███████▌ | 15/20 [00:20<00:06, 1.40s/it]
DDIM Sampler: 80%|████████ | 16/20 [00:22<00:05, 1.40s/it]
DDIM Sampler: 85%|████████▌ | 17/20 [00:23<00:04, 1.40s/it]
DDIM Sampler: 90%|█████████ | 18/20 [00:25<00:02, 1.40s/it]
DDIM Sampler: 95%|█████████▌| 19/20 [00:26<00:01, 1.40s/it]
DDIM Sampler: 100%|██████████| 20/20 [00:27<00:00, 1.40s/it]
DDIM Sampler: 100%|██████████| 20/20 [00:27<00:00, 1.40s/it]