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zust-ai /zust-diffusion:f2977520
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 zust-ai/zust-diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"zust-ai/zust-diffusion:f297752062c6bcf5023523c7f62aa0231d8d30a503e44ed4112fda8db6b48ab5",
{
input: {
tags: "",
width: 1024,
height: 1024,
pikeya: "",
prompt: "a handbag on a sofa in a sunlit living room with a bookshelf, plush rug, and a framed painting on the wall",
sam_url: "{\"image_url\": \"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/ps/perfume_scene2.png\"}",
subjects: "[{\"left\": 0, \"top\": 0, \"scale\": 0.0009765625, \"image_url\": \"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/zust_product/handbag_square.png\"}]",
pipe_type: "zust_xl",
is_premium: false,
upscale_by: 2,
upscale_url: "{\"image_url\": \"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/ps/perfume_scene2.png\"}",
with_detail: false,
fashion_mask: "{\"left\": 0, \"top\": 0, \"scale\": 0.0009765625, \"image_url\": \"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/zust_fashion/fashion_sq_mask.png\"}",
is_heartbeat: false,
enhance_noise: 0.5,
enhance_scene: "{\"left\": 0, \"top\": 0, \"scale\": 0.0009765625, \"image_url\": \"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/enhance/scene_to_be_enhanced.png\"}",
enhance_prompt: "",
enhance_subject: "[{\"left\": 0, \"top\": 0, \"scale\": 0.0009765625, \"image_url\": \"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/enhance/enhance_sub.png\"}]",
fashion_subject: "{\"left\": 0, \"top\": 0, \"scale\": 0.0009765625, \"image_url\": \"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/zust_fashion/fashion_sq.png\"}",
negative_prompt: "",
photoshift_noise: 0.65,
photoshift_scene: "{\"image_url\": \"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/ps/perfume_scene2.png\"}",
enhance_reference: 0.25,
photoshift_subject: "[{\"left\": 0, \"top\": 0, \"scale\": 0.0009765625, \"image_url\": \"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/ps/perfume_raw2.png\"}]",
photoshift_reference: 0.35,
enhance_negative_prompt: "",
photoshift_prompt_strength: 1,
photoshift_cleanup_background: true
}
}
);
// 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 zust-ai/zust-diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"zust-ai/zust-diffusion:f297752062c6bcf5023523c7f62aa0231d8d30a503e44ed4112fda8db6b48ab5",
input={
"tags": "",
"width": 1024,
"height": 1024,
"pikeya": "",
"prompt": "a handbag on a sofa in a sunlit living room with a bookshelf, plush rug, and a framed painting on the wall",
"sam_url": "{\"image_url\": \"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/ps/perfume_scene2.png\"}",
"subjects": "[{\"left\": 0, \"top\": 0, \"scale\": 0.0009765625, \"image_url\": \"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/zust_product/handbag_square.png\"}]",
"pipe_type": "zust_xl",
"is_premium": False,
"upscale_by": 2,
"upscale_url": "{\"image_url\": \"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/ps/perfume_scene2.png\"}",
"with_detail": False,
"fashion_mask": "{\"left\": 0, \"top\": 0, \"scale\": 0.0009765625, \"image_url\": \"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/zust_fashion/fashion_sq_mask.png\"}",
"is_heartbeat": False,
"enhance_noise": 0.5,
"enhance_scene": "{\"left\": 0, \"top\": 0, \"scale\": 0.0009765625, \"image_url\": \"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/enhance/scene_to_be_enhanced.png\"}",
"enhance_prompt": "",
"enhance_subject": "[{\"left\": 0, \"top\": 0, \"scale\": 0.0009765625, \"image_url\": \"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/enhance/enhance_sub.png\"}]",
"fashion_subject": "{\"left\": 0, \"top\": 0, \"scale\": 0.0009765625, \"image_url\": \"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/zust_fashion/fashion_sq.png\"}",
"negative_prompt": "",
"photoshift_noise": 0.65,
"photoshift_scene": "{\"image_url\": \"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/ps/perfume_scene2.png\"}",
"enhance_reference": 0.25,
"photoshift_subject": "[{\"left\": 0, \"top\": 0, \"scale\": 0.0009765625, \"image_url\": \"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/ps/perfume_raw2.png\"}]",
"photoshift_reference": 0.35,
"enhance_negative_prompt": "",
"photoshift_prompt_strength": 1,
"photoshift_cleanup_background": True
}
)
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 zust-ai/zust-diffusion 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": "zust-ai/zust-diffusion:f297752062c6bcf5023523c7f62aa0231d8d30a503e44ed4112fda8db6b48ab5",
"input": {
"tags": "",
"width": 1024,
"height": 1024,
"pikeya": "",
"prompt": "a handbag on a sofa in a sunlit living room with a bookshelf, plush rug, and a framed painting on the wall",
"sam_url": "{\\"image_url\\": \\"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/ps/perfume_scene2.png\\"}",
"subjects": "[{\\"left\\": 0, \\"top\\": 0, \\"scale\\": 0.0009765625, \\"image_url\\": \\"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/zust_product/handbag_square.png\\"}]",
"pipe_type": "zust_xl",
"is_premium": false,
"upscale_by": 2,
"upscale_url": "{\\"image_url\\": \\"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/ps/perfume_scene2.png\\"}",
"with_detail": false,
"fashion_mask": "{\\"left\\": 0, \\"top\\": 0, \\"scale\\": 0.0009765625, \\"image_url\\": \\"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/zust_fashion/fashion_sq_mask.png\\"}",
"is_heartbeat": false,
"enhance_noise": 0.5,
"enhance_scene": "{\\"left\\": 0, \\"top\\": 0, \\"scale\\": 0.0009765625, \\"image_url\\": \\"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/enhance/scene_to_be_enhanced.png\\"}",
"enhance_prompt": "",
"enhance_subject": "[{\\"left\\": 0, \\"top\\": 0, \\"scale\\": 0.0009765625, \\"image_url\\": \\"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/enhance/enhance_sub.png\\"}]",
"fashion_subject": "{\\"left\\": 0, \\"top\\": 0, \\"scale\\": 0.0009765625, \\"image_url\\": \\"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/zust_fashion/fashion_sq.png\\"}",
"negative_prompt": "",
"photoshift_noise": 0.65,
"photoshift_scene": "{\\"image_url\\": \\"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/ps/perfume_scene2.png\\"}",
"enhance_reference": 0.25,
"photoshift_subject": "[{\\"left\\": 0, \\"top\\": 0, \\"scale\\": 0.0009765625, \\"image_url\\": \\"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/ps/perfume_raw2.png\\"}]",
"photoshift_reference": 0.35,
"enhance_negative_prompt": "",
"photoshift_prompt_strength": 1,
"photoshift_cleanup_background": true
}
}' \
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/zust-ai/zust-diffusion@sha256:f297752062c6bcf5023523c7f62aa0231d8d30a503e44ed4112fda8db6b48ab5 \
-i 'tags=""' \
-i 'width=1024' \
-i 'height=1024' \
-i 'pikeya=""' \
-i 'prompt="a handbag on a sofa in a sunlit living room with a bookshelf, plush rug, and a framed painting on the wall"' \
-i $'sam_url="{\\"image_url\\": \\"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/ps/perfume_scene2.png\\"}"' \
-i $'subjects="[{\\"left\\": 0, \\"top\\": 0, \\"scale\\": 0.0009765625, \\"image_url\\": \\"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/zust_product/handbag_square.png\\"}]"' \
-i 'pipe_type="zust_xl"' \
-i 'is_premium=false' \
-i 'upscale_by=2' \
-i $'upscale_url="{\\"image_url\\": \\"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/ps/perfume_scene2.png\\"}"' \
-i 'with_detail=false' \
-i $'fashion_mask="{\\"left\\": 0, \\"top\\": 0, \\"scale\\": 0.0009765625, \\"image_url\\": \\"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/zust_fashion/fashion_sq_mask.png\\"}"' \
-i 'is_heartbeat=false' \
-i 'enhance_noise=0.5' \
-i $'enhance_scene="{\\"left\\": 0, \\"top\\": 0, \\"scale\\": 0.0009765625, \\"image_url\\": \\"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/enhance/scene_to_be_enhanced.png\\"}"' \
-i 'enhance_prompt=""' \
-i $'enhance_subject="[{\\"left\\": 0, \\"top\\": 0, \\"scale\\": 0.0009765625, \\"image_url\\": \\"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/enhance/enhance_sub.png\\"}]"' \
-i $'fashion_subject="{\\"left\\": 0, \\"top\\": 0, \\"scale\\": 0.0009765625, \\"image_url\\": \\"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/zust_fashion/fashion_sq.png\\"}"' \
-i 'negative_prompt=""' \
-i 'photoshift_noise=0.65' \
-i $'photoshift_scene="{\\"image_url\\": \\"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/ps/perfume_scene2.png\\"}"' \
-i 'enhance_reference=0.25' \
-i $'photoshift_subject="[{\\"left\\": 0, \\"top\\": 0, \\"scale\\": 0.0009765625, \\"image_url\\": \\"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/ps/perfume_raw2.png\\"}]"' \
-i 'photoshift_reference=0.35' \
-i 'enhance_negative_prompt=""' \
-i 'photoshift_prompt_strength=1' \
-i 'photoshift_cleanup_background=true'
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/zust-ai/zust-diffusion@sha256:f297752062c6bcf5023523c7f62aa0231d8d30a503e44ed4112fda8db6b48ab5
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "tags": "", "width": 1024, "height": 1024, "pikeya": "", "prompt": "a handbag on a sofa in a sunlit living room with a bookshelf, plush rug, and a framed painting on the wall", "sam_url": "{\\"image_url\\": \\"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/ps/perfume_scene2.png\\"}", "subjects": "[{\\"left\\": 0, \\"top\\": 0, \\"scale\\": 0.0009765625, \\"image_url\\": \\"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/zust_product/handbag_square.png\\"}]", "pipe_type": "zust_xl", "is_premium": false, "upscale_by": 2, "upscale_url": "{\\"image_url\\": \\"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/ps/perfume_scene2.png\\"}", "with_detail": false, "fashion_mask": "{\\"left\\": 0, \\"top\\": 0, \\"scale\\": 0.0009765625, \\"image_url\\": \\"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/zust_fashion/fashion_sq_mask.png\\"}", "is_heartbeat": false, "enhance_noise": 0.5, "enhance_scene": "{\\"left\\": 0, \\"top\\": 0, \\"scale\\": 0.0009765625, \\"image_url\\": \\"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/enhance/scene_to_be_enhanced.png\\"}", "enhance_prompt": "", "enhance_subject": "[{\\"left\\": 0, \\"top\\": 0, \\"scale\\": 0.0009765625, \\"image_url\\": \\"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/enhance/enhance_sub.png\\"}]", "fashion_subject": "{\\"left\\": 0, \\"top\\": 0, \\"scale\\": 0.0009765625, \\"image_url\\": \\"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/zust_fashion/fashion_sq.png\\"}", "negative_prompt": "", "photoshift_noise": 0.65, "photoshift_scene": "{\\"image_url\\": \\"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/ps/perfume_scene2.png\\"}", "enhance_reference": 0.25, "photoshift_subject": "[{\\"left\\": 0, \\"top\\": 0, \\"scale\\": 0.0009765625, \\"image_url\\": \\"https://raw.githubusercontent.com/zust-ai/product-ai-training/main/test/ps/perfume_raw2.png\\"}]", "photoshift_reference": 0.35, "enhance_negative_prompt": "", "photoshift_prompt_strength": 1, "photoshift_cleanup_background": true } }' \ http://localhost:5000/predictions
To learn more, take a look at the Cog documentation.
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Output
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