awesome-genmedia AI Recipe Visualization
Visualize recipes, cooking processes, and dish presentations using each::sense — the intelligent AI agent that automatically selects the best model for your request.
Quick Start
Requires an each::labs API key. Get one at eachlabs.ai.
Using curl
curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{
"messages": [
{
"role": "user",
"content": "A recipe visualization showing all ingredients for homemade pasta laid out in a flat lay: a mound of 00 flour with a well in the center, eggs, olive oil, salt, and a fork, all arranged on a rustic wooden cutting board, recipe card style, bright even lighting, cookbook photography"
}
],
"stream": false
}'
Using Python (OpenAI SDK)
from openai import OpenAI
client = OpenAI(
api_key="YOUR_EACHLABS_API_KEY",
base_url="https://eachsense-agent.core.eachlabs.run/v1"
)
response = client.chat.completions.create(
model="eachsense/beta",
messages=[{
"role": "user",
"content": "A recipe visualization showing all ingredients for homemade pasta laid out in a flat lay: a mound of 00 flour with a well in the center, eggs, olive oil, salt, and a fork, all arranged on a rustic wooden cutting board, recipe card style, bright even lighting, cookbook photography"
}]
)
print(response.choices[0].message.content)
With Reference Image
curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{
"messages": [
{
"role": "user",
"content": [
{"type": "text", "text": "Create a recipe visualization showing what this finished dish looks like before cooking: display all the raw ingredients laid out in small prep bowls arranged neatly, mise en place style, matching the warm lighting and surface of the reference"},
{"type": "image_url", "image_url": {"url": "https://example.com/finished-dish.jpg"}}
]
}
],
"stream": false
}'
Images are sent inside messages using the OpenAI multimodal content format. Maximum 4 images per request.
Streaming
Set "stream": true for real-time SSE responses, or "stream": false for complete result in a single response. Streaming is useful for showing progress in UIs; non-streaming is simpler for scripts and automation.
Tips for Recipe Visualization
- List ingredients specifically — name each ingredient and its form (diced, sliced, measured in a bowl).
- Describe the arrangement — "mise en place in small glass bowls," "scattered artfully," or "grid layout."
- Show the cooking process — describe specific stages like "dough being kneaded," "sauce simmering."
- Include cooking tools — wooden spoons, cast iron pans, mixing bowls for context.
- Match the recipe mood — rustic for comfort food, minimalist for modern cuisine, vibrant for tropical dishes.
Examples
Mise en Place
curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{
"messages": [
{
"role": "user",
"content": "A mise en place photograph for a Thai green curry recipe: small glass prep bowls arranged in a circle containing diced chicken, green curry paste, coconut milk in a measuring cup, sliced bell peppers, Thai basil leaves, fish sauce, palm sugar, and bamboo shoots, clean white marble surface, overhead view, cooking blog photography"
}
],
"stream": false
}'
Cooking Process Shot
curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{
"messages": [
{
"role": "user",
"content": "A cooking process photograph: hands tossing pasta in a large stainless steel pan with garlic, olive oil, and fresh cherry tomatoes, steam rising, dynamic action shot, warm kitchen lighting, close-up angle showing the pasta mid-toss, authentic Italian cooking moment"
}
],
"stream": false
}'
Before and After Plating
curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{
"messages": [
{
"role": "user",
"content": "A side-by-side recipe visualization: on the left, raw marinated steak on a cutting board with fresh rosemary and garlic cloves; on the right, the same steak perfectly grilled with char marks, sliced and fanned out on a warm plate with roasted potatoes, consistent lighting and surface across both sides, cookbook tutorial style"
}
],
"stream": false
}'
Workflow: Recipe Content Creation
- Photograph ingredients — Generate mise en place flat lay showing all ingredients.
- Visualize key steps — Create images for critical cooking stages.
- Capture the finished dish — Generate the hero presentation shot.
- Create serving scene — Show the dish in a dining context with tableware.
- Assemble recipe card — Combine step images with the final dish for a visual guide.
Related Skills
- AI Food Photography — Professional dish photography
- AI Menu Visualization — Restaurant menu imagery
- AI Stock Photo — General stock photography
- Text to Image — General image generation
Related Models
- flux-2-max — Photorealistic food detail
- seedream-v4-5 — Appetizing visual styles
- nano-banana-pro — Quick concept shots