Skill: Eachlabs Product Visuals

Owner: eftalyurtseven

Summary: Generate professional e-commerce product photography and videos using EachLabs AI models. Product shots, background replacement, lifestyle scenes, and 360-degree views. Use when the user needs product images for e-commerce or marketing.

Tags: latest:0.1.0

Version history:

v0.1.0 | 2026-02-09T02:21:02.773Z | auto

Initial release of eachlabs-product-visuals.

• Generate e-commerce product images and videos with EachLabs AI models, including product shots, background replacement, lifestyle scenes, and 360-degree views.
• Provides model recommendations for common product imagery tasks.
• Includes full authentication details and example workflows for white background, lifestyle, multi-angle, transparent background, and video generation.
• Lists prompt suggestions and guidance for best results.
• Supports batch processing workflows for catalog-scale image production.
• References available for detailed model parameter documentation.

Archive index:

Archive v0.1.0: 3 files, 5638 bytes

Files: references/MODELS.md (11458b), SKILL.md (6104b), _meta.json (143b)

File v0.1.0:SKILL.md

---

name: eachlabs-product-visuals description: Generate professional e-commerce product photography and videos using EachLabs AI models. Product shots, background replacement, lifestyle scenes, and 360-degree views. Use when the user needs product images for e-commerce or marketing. metadata: author: eachlabs version: "1.0"

EachLabs Product Visuals

Generate professional product photography, e-commerce visuals, and product videos using EachLabs AI models.

Authentication

Header: X-API-Key: <your-api-key>

Set the EACHLABS_API_KEY environment variable. Get your key at eachlabs.ai.

Recommended Models

E-Commerce Specific

| Task | Model | Slug | |------|-------|------| | Product photoshoot | Product to Photoshoot | product-to-photoshoot | | Product on model | Product Photo to Modelshoot | product-photo-to-modelshoot | | Color variations | Product Colors | product-colors | | Food photography | Food Photos | food-photos | | Background removal | Product Background Remover | product-backround-remover | | Image upscaling | Product Photo Upscaler | product-photo-upscaler | | Home scene placement | Product Home View | product-home-view | | Product shot | Bria Product Shot | bria-product-shot | | Product shoot | Product Shoot | product-shoot | | Product arc shot | Eachlabs Product Arc Shot | eachlabs-product-arc-shot-v1 | | Product zoom in | Eachlabs Product Zoom In | eachlabs-product-zoom-in-v1 |

General Purpose

| Task | Model | Slug | |------|-------|------| | Product photography | GPT Image v1.5 | gpt-image-v1-5-text-to-image | | Background replacement | GPT Image v1.5 Edit | gpt-image-v1-5-edit | | Product editing | Flux 2 Turbo Edit | flux-2-turbo-edit | | Multi-angle views | Qwen Image Edit | qwen-image-edit-2511-multiple-angles | | Background removal | Rembg Enhance | rembg-enhance | | Background removal | Eachlabs BG Remover | eachlabs-bg-remover-v1 | | Image upscaling | Eachlabs Upscaler Pro | eachlabs-image-upscaler-pro-v1 | | Ad inpainting | SDXL Ad Inpaint | sdxl-ad-inpaint | | Custom product style | Z Image Trainer | z-image-trainer | | Product video | Pixverse v5.6 Image-to-Video | pixverse-v5-6-image-to-video |

Prediction Flow

1. Check model GET https://api.eachlabs.ai/v1/model?slug=<slug> — validates the model exists and returns the request_schema with exact input parameters. Always do this before creating a prediction to ensure correct inputs.
2. POST https://api.eachlabs.ai/v1/prediction with model slug, version "0.0.1", and input matching the schema
3. Poll GET https://api.eachlabs.ai/v1/prediction/{id} until status is "success" or "failed"
4. Extract output URL from response

Workflows

Product on White Background

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "gpt-image-v1-5-edit",
    "version": "0.0.1",
    "input": {
      "prompt": "Place this product on a clean white background with soft studio lighting and subtle shadows",
      "image_urls": ["https://example.com/product.jpg"],
      "background": "opaque",
      "quality": "high"
    }
  }'

Lifestyle Scene Generation

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "gpt-image-v1-5-edit",
    "version": "0.0.1",
    "input": {
      "prompt": "Place this coffee mug on a cozy wooden desk in a modern home office with warm morning light, lifestyle photography",
      "image_urls": ["https://example.com/mug.jpg"],
      "quality": "high"
    }
  }'

Multi-Angle Product Views

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "qwen-image-edit-2511-multiple-angles",
    "version": "0.0.1",
    "input": {
      "image_urls": ["https://example.com/product.jpg"],
      "horizontal_angle": 45,
      "vertical_angle": 15,
      "zoom": 5
    }
  }'

Generate multiple angles by running separate predictions with different horizontal_angle values (0, 45, 90, 135, 180, 225, 270, 315 for a full 360).

Product with Transparent Background

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "gpt-image-v1-5-edit",
    "version": "0.0.1",
    "input": {
      "prompt": "Remove the background from this product image",
      "image_urls": ["https://example.com/product.jpg"],
      "background": "transparent",
      "output_format": "png"
    }
  }'

Product Video from Image

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "pixverse-v5-6-image-to-video",
    "version": "0.0.1",
    "input": {
      "image_url": "https://example.com/product-studio.jpg",
      "prompt": "Slow cinematic camera rotation around the product with dramatic studio lighting",
      "duration": "5",
      "resolution": "1080p"
    }
  }'

Prompt Tips for Products

• Specify lighting: "soft studio lighting", "dramatic side lighting", "natural window light"
• Mention surface: "marble surface", "wooden table", "clean white background"
• Include shadows: "soft shadows", "reflection on surface"
• Add context: "lifestyle setting", "in-use shot", "flat lay arrangement"
• For batch catalog shots, maintain consistency with similar prompts

Batch Processing

For catalog-scale processing, create multiple predictions in parallel by sending separate POST requests for each product. Poll each prediction independently.

Parameter Reference

See the eachlabs-image-generation and eachlabs-video-generation references for complete model parameters.

File v0.1.0:_meta.json

{ "ownerId": "kn7daknf647gdfdwzpyq5scnvn80tq7d", "slug": "eachlabs-product-visuals", "version": "0.1.0", "publishedAt": 1770603662773 }

File v0.1.0:references/MODELS.md

Product Visuals Models Reference

Complete parameter reference for e-commerce and product photography models. All models use version 0.0.1.

Product Colors

Slug: product-colors

| Parameter | Type | Required | Default | Options / Constraints | Description | |-----------|------|----------|---------|----------------------|-------------| | product_image | string | Yes | — | — | — | | aspect_ratio | string | No | "1:1" | 21:9,1:1,4:3,3:2,2:3,5:4,4:5,3:4,16:9,9:16 | Aspect ratio for generated images. |

---

Food Photos

Slug: food-photos

| Parameter | Type | Required | Default | Options / Constraints | Description | |-----------|------|----------|---------|----------------------|-------------| | food_image | string | Yes | — | — | — | | aspect_ratio | string | No | "1:1" | 21:9,1:1,4:3,3:2,2:3,5:4,4:5,3:4,16:9,9:16 | Aspect ratio for generated images. |

---

Product Backround Remover

Slug: product-backround-remover

| Parameter | Type | Required | Default | Options / Constraints | Description | |-----------|------|----------|---------|----------------------|-------------| | product_image | string | Yes | — | — | — |

---

Product to Photoshoot

Slug: product-to-photoshoot

| Parameter | Type | Required | Default | Options / Constraints | Description | |-----------|------|----------|---------|----------------------|-------------| | product_photo | string | Yes | — | — | — | | aspect_ratio | string | No | "1:1" | 21:9,1:1,4:3,3:2,2:3,5:4,4:5,3:4,16:9,9:16 | — |

---

Product Photo Upscaler

Slug: product-photo-upscaler

| Parameter | Type | Required | Default | Options / Constraints | Description | |-----------|------|----------|---------|----------------------|-------------| | product_image | string | Yes | — | — | — |

---

Product Home View

Slug: product-home-view

| Parameter | Type | Required | Default | Options / Constraints | Description | |-----------|------|----------|---------|----------------------|-------------| | home_product | string | Yes | — | — | Home Product Image | | aspect_ratio | string | No | "1:1" | 21:9,1:1,4:3,3:2,2:3,5:4,4:5,3:4,16:9,9:16 | — |

---

Product Photo to Modelshoot

Slug: product-photo-to-modelshoot

| Parameter | Type | Required | Default | Options / Constraints | Description | |-----------|------|----------|---------|----------------------|-------------| | product | string | Yes | — | — | Product image | | product_name | string | Yes | — | — | Product name | | aspect_ratio | string | No | "1:1" | 21:9,1:1,4:3,3:2,2:3,5:4,4:5,3:4,16:9,9:16 | — | | model_gender | string | Yes | "female" | male,female | — |

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Bria | Product Shot

Slug: bria-product-shot

| Parameter | Type | Required | Default | Options / Constraints | Description | |-----------|------|----------|---------|----------------------|-------------| | image_url | string | Yes | — | — | The URL of the product shot to be placed in a lifestyle shot. If both image_url and image_file are provided, image_ur... | | scene_description | string | No | — | — | Text description of the new scene or background for the provided product shot. Bria currently supports prompts in Eng... | | ref_image_url | string | No | — | — | The URL of the reference image to be used for generating the new scene or background for the product shot. Use "" to ... | | optimize_description | boolean | No | "True" | — | Whether to optimize the scene description | | num_results | integer | No | "1" | — | The number of lifestyle product shots you would like to generate. You will get num_results x 10 results when placemen... | | fast | boolean | No | "True" | — | Whether to use the fast model | | placement_type | string | No | "manual_placement" | original, automatic, manual_placement, manual_padding | This parameter allows you to control the positioning of the product in the image. Choosing 'original' will preserve t... | | original_quality | boolean | No | "False" | — | This flag is only relevant when placement_type=original. If true, the output image retains the original input image's... | | shot_size | array | No | "[1000, 1000]" | — | The desired size of the final product shot. For optimal results, the total number of pixels should be around 1,000,00... | | manual_placement_selection | string | No | "bottom_center" | upper_left,upper_right,bottom_left,bottom_right,right_center,left_center,uppe... | If you've selected placement_type=manual_placement, you should use this parameter to specify which placements/positio... | | padding_values | string | No | — | — | The desired padding in pixels around the product, when using placement_type=manual_padding. The order of the values i... | | sync_mode | boolean | No | "False" | — | If set to true, the function will wait for the image to be generated and uploaded before returning the response. This... |

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Remove Background Enhance

Slug: rembg-enhance

| Parameter | Type | Required | Default | Options / Constraints | Description | |-----------|------|----------|---------|----------------------|-------------| | image | string | No | — | — | Input image |

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Product Shoot

Slug: product-shoot

| Parameter | Type | Required | Default | Options / Constraints | Description | |-----------|------|----------|---------|----------------------|-------------| | prompt | string | Yes | — | — | — | | input_image_1 | string | Yes | — | — | First input image. Must be jpeg, png, gif, or webp. | | input_image_2 | string | Yes | — | — | Second input image. Must be jpeg, png, gif, or webp. | | aspect_ratio | string | No | "match_input_image" | match_input_image,1:1,16:9,9:16,4:3,3:4,3:2,2:3,4:5,5:4,21:9,9:21,2:1,1:2 | — |

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Eachlabs Image Upscaler | Pro | v1

Slug: eachlabs-image-upscaler-pro-v1

| Parameter | Type | Required | Default | Options / Constraints | Description | |-----------|------|----------|---------|----------------------|-------------| | image_url | string | Yes | — | — | — | | upscale_factor | integer | Yes | "2" | — | — | | output_format | string | Yes | "PNG" | JPG,PNG,WEBP | — |

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Eachlabs Background Remover v1

Slug: eachlabs-bg-remover-v1

| Parameter | Type | Required | Default | Options / Constraints | Description | |-----------|------|----------|---------|----------------------|-------------| | image_url | string | Yes | — | — | — |

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Editing Image Background

Slug: realistic-background

| Parameter | Type | Required | Default | Options / Constraints | Description | |-----------|------|----------|---------|----------------------|-------------| | image | string | Yes | — | — | Image to replace background | | prompt | string | No | "RAW photo, 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3" | — | prompt en | | negative_prompt | string | No | "(deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime, mutated hands and fingers:1.4), (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, disconnected limbs, mutation, mutated, ugly, disgusting, amputation" | — | negative prompt | | sampler_name | string | No | "DPM++ SDE Karras" | DPM++ 2M,DPM++ SDE,DPM++ 2M SDE,DPM++ 2M SDE Heun,DPM++ 2S a,DPM++ 3M SDE,Eul... | An enumeration. | | steps | integer | No | "20" | — | steps | | cfg_scale | integer | No | "7" | — | CFG scale, or classifier-free guidance scale, adjusts the strength of the guidance given to the model to generate hig... | | denoising_strength | number | No | "0.75" | — | denoising strength | | max_width | integer | No | "1024" | — | max width | | max_height | integer | No | "1024" | — | max height | | only_masked_padding_pixels | integer | No | "4" | — | only masked padding,pixels | | seed | integer | No | "1" | — | seed |

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SDXL Ad Inpaint

Slug: sdxl-ad-inpaint

| Parameter | Type | Required | Default | Options / Constraints | Description | |-----------|------|----------|---------|----------------------|-------------| | image | string | Yes | — | — | An image can be used as input to influence or guide the model's output alongside text descriptions. | | product_fill | string | No | "Original" | Original,80,70,60,50,40,30,20 | Product fill is about populating a product with relevant information or features based on AI input. | | prompt | string | Yes | — | — | A prompt is the initial text or instruction given to the model to start generating a response. | | negative_prompt | string | No | "low quality, out of frame, illustration, 3d, sepia, painting, cartoons, sketch, watermark, text, Logo, advertisement" | — | Negative prompts are used to specify what the AI should avoid including when generating text or images. | | img_size | string | No | "1024, 1024" | [,',5,1,2,,, ,2,0,4,8,',,, ,',5,1,2,,, ,1,9,8,4,',,, ,',5,1,2,,, ,1,9,2,0,',,... | Image size determines the dimensions of the resulting generated images. | | scheduler | string | No | "K_EULER" | DDIM,DPMSolverMultistep,HeunDiscrete,KarrasDPM,K_EULER_ANCESTRAL,K_EULER,PNDM | A scheduler manages the sequence and timing of tasks or steps in the model's processing. | | num_inference_steps | integer | No | "40" | — | The number of inference steps refers to how many steps the model takes to generate a result, affecting quality and co... | | guidance_scale | number | No | "7.5" | — | Guidance scale sets the influence of guidance on the AI's generation process to steer the output towards desired crit... | | condition_scale | number | No | "0.9" | — | Condition scale adjusts the strength of conditions applied to the model's output to better match specific requirements. | | num_refine_steps | integer | No | "10" | — | The number of refine steps represents additional passes the model makes to improve the result. | | apply_img | boolean | No | "True" | — | Apply img refers to the process of using an image as part of the input to guide or influence the model's output. | | seed | integer | No | — | — | A seed is a starting point for random number generation, ensuring repeatability of the AI's output if the same seed i... |

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Rembg - Remove Background

Slug: rembg

| Parameter | Type | Required | Default | Options / Constraints | Description | |-----------|------|----------|---------|----------------------|-------------| | image | string | Yes | — | — | The software is licensed under the Apache License 2.0, which allows users to freely use, distribute, and modify the s... |

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Eachlabs Product Arc Shot | v1

Slug: eachlabs-product-arc-shot-v1

| Parameter | Type | Required | Default | Options / Constraints | Description | |-----------|------|----------|---------|----------------------|-------------| | image_url | string | Yes | — | — | — |

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Eachlabs Product Zoom In v1

Slug: eachlabs-product-zoom-in-v1

| Parameter | Type | Required | Default | Options / Constraints | Description | |-----------|------|----------|---------|----------------------|-------------| | image_url | string | Yes | — | — | — |

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