Transfer your Midjourney prompt library to Ideogram by stripping Midjourney-specific parameters (--ar, --stylize, --v), mapping aspect ratios to Ideogram’s preset options, and converting style values into natural language descriptions. Use the Python converter scripts below to batch-process your entire prompt collection from a CSV export. Text-heavy prompts for logos and typography will often produce better results on Ideogram without additional modification.

Understanding the Platform Differences

Midjourney and Ideogram take fundamentally different approaches to image generation. Midjourney uses a Discord-based command system with parameters like --ar for aspect ratio, --stylize for artistic strength, and --v for model version. Prompts are space-separated with double-dash parameters appended at the end.

Ideogram operates through a web interface and API, accepting natural language prompts without special parameter syntax. It handles aspect ratios and style through separate dropdown selections rather than prompt modifications. This means your Midjourney prompts require structural changes before Ideogram can produce comparable results.

The most significant difference lies in text rendering. If your Midjourney prompts contain text elements for logos, signage, or typography-focused designs, Ideogram will likely produce superior results without additional prompting tricks. This alone makes prompt migration valuable for many use cases.

Converting Midjourney Parameters to Ideogram Format

Aspect Ratio Conversion

Midjourney uses the --ar parameter followed by width:height values. Ideogram uses preset aspect ratio options. Here’s a conversion function:

def convert_aspect_ratio(mj_param):
    """Convert Midjourney aspect ratio to Ideogram format."""
    ratio_map = {
        "1:1": "square",
        "3:2": "landscape_3_2",
        "2:3": "portrait_3_2",
        "16:9": "landscape_16_9",
        "9:16": "portrait_16_9",
        "4:3": "landscape_4_3",
        "3:4": "portrait_4_3",
        "21:9": "landscape_21_9",
        "9:21": "portrait_21_9",
    }
    return ratio_map.get(mj_param.lower(), "square")

Style Parameter Mapping

Midjourney’s --stylize parameter (0-1000) controls artistic interpretation. Ideogram handles this differently through prompt language. Higher stylize values in Midjourney mean more artistic freedom. For Ideogram, you express this through descriptive adjectives:

def convert_stylize_to_prompt(stylize_value):
    """Convert Midjourney stylize value to descriptive prompt additions."""
    if stylize_value < 100:
        return "realistic, photographic, accurate details"
    elif stylize_value < 500:
        return "artistic, creative interpretation"
    else:
        return "highly stylized, expressive, artistic freedom"

Version Parameter Handling

Midjourney uses --v or --version to select model versions. Ideogram automatically uses its latest model. Remove version parameters when converting:

def strip_mj_version_params(prompt):
    """Remove Midjourney version parameters from prompt."""
    import re
    # Remove --v, --version, --niji and their values
    cleaned = re.sub(r'--v\s*\d+', '', prompt)
    cleaned = re.sub(r'--version\s*\d+', '', cleaned)
    cleaned = re.sub(r'--niji\s*\d*', '', cleaned)
    return cleaned.strip()

Building a Complete Prompt Converter

Here’s a comprehensive Python script that converts Midjourney prompts to Ideogram format:

import re
import json

class MidjourneyToIdeogramConverter:
    def __init__(self):
        self.aspect_ratio_map = {
            "1:1": "square",
            "3:2": "landscape_3_2",
            "2:3": "portrait_3_2",
            "16:9": "landscape_16_9",
            "9:16": "portrait_16_9",
        }
    
    def extract_parameters(self, prompt):
        """Extract Midjourney parameters from prompt."""
        params = {
            "prompt": "",
            "aspect_ratio": "square",
            "style_additions": "",
            "negative_prompt": ""
        }
        
        # Extract --ar parameter
        ar_match = re.search(r'--ar\s*(\d+:\d+)', prompt)
        if ar_match:
            ar = ar_match.group(1)
            params["aspect_ratio"] = self.aspect_ratio_map.get(ar, "square")
        
        # Extract --no parameter (negative prompting)
        no_match = re.search(r'--no\s*([\w,\s]+)', prompt)
        if no_match:
            negative_terms = no_match.group(1).replace(',', ', ')
            params["negative_prompt"] = f"Avoid: {negative_terms}"
        
        # Extract --stylize parameter
        stylize_match = re.search(r'--s\s*(\d+)', prompt)
        if stylize_match:
            stylize = int(stylize_match.group(1))
            if stylize > 700:
                params["style_additions"] = "Highly artistic, expressive style. "
            elif stylize > 300:
                params["style_additions"] = "Artistic interpretation. "
        
        # Extract --iw parameter (image weight)
        iw_match = re.search(r'--iw\s*([\d.]+)', prompt)
        if iw_match:
            params["prompt"] += f"[Reference image weight: {iw_match.group(1)}] "
        
        # Clean the main prompt
        clean_prompt = re.sub(r'--\w+\s*[\w.]*', '', prompt).strip()
        params["prompt"] += clean_prompt
        
        return params
    
    def convert(self, midjourney_prompt):
        """Convert a single Midjourney prompt to Ideogram format."""
        params = self.extract_parameters(midjourney_prompt)
        
        # Build the Ideogram prompt
        ideogram_parts = [params["prompt"]]
        
        if params["style_additions"]:
            ideogram_parts.append(params["style_additions"])
        
        if params["negative_prompt"]:
            ideogram_parts.append(params["negative_prompt"])
        
        return {
            "prompt": " ".join(ideogram_parts),
            "aspect_ratio": params["aspect_ratio"]
        }

# Example usage
converter = MidjourneyToIdeogramConverter()

mj_prompt = "a futuristic cityscape at sunset, neon lights, cyberpunk aesthetic --ar 16:9 --stylize 750 --v 6"
result = converter.convert(mj_prompt)

print(json.dumps(result, indent=2))

This produces:

{
  "prompt": "a futuristic cityscape at sunset, neon lights, cyberpunk aesthetic Highly artistic, expressive style.",
  "aspect_ratio": "landscape_16_9"
}

Handling Complex Prompt Patterns

Multi-Prompt Segments

Midjourney allows weighted prompts using :: syntax. Ideogram doesn’t support this directly. You need to decide how to handle weighted elements:

def handle_weighted_segments(prompt):
    """Convert Midjourney weighted prompts to single prompt."""
    # Split by :: and take the first segment as primary
    # Adjust based on your priority logic
    segments = prompt.split("::")
    if len(segments) > 1:
        # Use the highest weighted segment
        weights = []
        for seg in segments:
            match = re.search(r'(\d*\.?\d+)$', seg.strip())
            weight = float(match.group(1)) if match else 1.0
            weights.append((seg.strip(), weight))
        
        # Return the segment with highest weight
        weights.sort(key=lambda x: x[1], reverse=True)
        return weights[0][0]
    return prompt

Seed and Chaos Parameters

Midjourney’s --seed and --chaos parameters have no direct Ideogram equivalents. The converter should simply strip these:

def strip_non_transferable_params(prompt):
    """Remove parameters that don't transfer to Ideogram."""
    params_to_remove = [
        r'--seed\s*\d+',
        r'--chaos\s*\d+',
        r'--c\s*\d+',
        r'--tile',
        r'--no\s*[\w,\s]+',
        r'--uplight',
        r'--upbeta',
        r'--creative',
    ]
    
    for param in params_to_remove:
        prompt = re.sub(param, '', prompt)
    
    return prompt.strip()

Batch Processing Your Prompt Library

For large prompt collections, process them in batches:

import csv
from pathlib import Path

def batch_convert_library(input_file, output_file):
    """Convert a CSV file of Midjourney prompts to Ideogram format."""
    converter = MidjourneyToIdeogramConverter()
    
    results = []
    
    with open(input_file, 'r') as f:
        reader = csv.DictReader(f)
        for row in reader:
            mj_prompt = row['prompt']
            converted = converter.convert(mj_prompt)
            results.append({
                'original': mj_prompt,
                'ideogram_prompt': converted['prompt'],
                'ideogram_aspect_ratio': converted['aspect_ratio']
            })
    
    with open(output_file, 'w', newline='') as f:
        writer = csv.DictWriter(f, fieldnames=results[0].keys())
        writer.writeheader()
        writer.writerows(results)
    
    return len(results)

# Usage
count = batch_convert_library('midjourney_prompts.csv', 'ideogram_prompts.csv')
print(f"Converted {count} prompts")

Limitations and Manual Review

Automated conversion handles approximately 80% of prompts effectively. However, certain Midjourney features require manual intervention:

After running your conversion, review prompts containing these elements manually to ensure the converted version maintains your intended output.

Summary

Converting Midjourney prompts to Ideogram format requires removing parameter syntax, mapping aspect ratios to presets, and translating style parameters into natural language descriptions. The Python scripts in this guide provide a foundation you can customize for your specific prompt library structure. The investment in building a conversion pipeline pays off quickly if you maintain large prompt collections across multiple platforms.

For text-heavy designs, Ideogram often produces superior results compared to Midjourney, making prompt migration worthwhile even if you continue using both platforms for different use cases.

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