Eachlabs Image Generation

Eachlabs Image Generation is a multimodal generation model designed to create high-quality images based on a combination of textual prompts and up to 10 reference images. Eachlabs Image Generation leverages advanced visual reasoning and prompt understanding to generate coherent, creative, and contextually accurate visual outputs. It supports a wide range of generation styles, including imaginative compositions, reference-based likeness, and concept blending.

Eachlabs Image Generation processes multimodal input by integrating text embeddings with vision features using cross-attention mechanisms.

The generation pipeline includes internal safety moderation layers to avoid unsafe content.

Supports contextual prompt learning, allowing users to guide style, mood, and structure through both textual and visual cues.

Model is optimized for style transfer, likeness recreation, and prompt-based composition blending.

• Inputs must not contain explicit, harmful, or copyrighted content. This includes:
  • Prompts with adult, violent, or hateful language.
  • Images showing graphic material, illegal acts, or real-world celebrities.
• Misaligned prompts and images may produce distorted results.
• Excessive prompt length (e.g. paragraphs of text) can dilute the intended concept.
• When uploading multiple images, ensure visual consistency across them (e.g., angle, lighting, or subject type).
• Eachlabs Image Generation is not intended for real-person likeness generation for identity-sensitive use cases.

Prompt Crafting

• Use descriptive yet simple phrases:
  ✅ "A cozy cabin in snowy mountains at sunset"
  ❌ "Nice picture with beautiful stuff in the background"
• Style guidance works well with modifiers:
  ✅ "A child playing in a futuristic city, cyberpunk style"
• Avoid flag-triggering keywords such as:
  ❌ "nude", "sexy", "kill", "blood", "celebrity", "weapon"
• Emojis, hashtags, or links should not be included in prompts.

Image Input Strategy

• Use image_url_1 through image_url_4 for best results. More than 5 images may introduce noise.
• Reference images should follow similar style, color tone, and camera perspective when possible.
• Avoid uploading:
  • Low-resolution, blurry, or pixelated images.
  • Watermarked, copyrighted, or sensitive images.
  • Unrelated images in a single set (e.g., cat photo + cityscape).
• Use similar framing or subject orientation in multiple images to improve coherence.

Practical Use Examples

• Combine a detailed prompt with 2–3 related visual references to produce character concepts, stylistic renderings, or image variations.
• For brand assets or stylistic moodboards, keep all reference images under the same design style (e.g., minimalism, vintage, bold colors).

Translates natural language prompts into visually coherent and creative images.

Merges multiple image references with textual guidance for composite generation.

Captures abstract and stylistic attributes from reference visuals.

Supports multi-subject scene composition and dynamic object placement.

Ideal for:

• Visual storytelling
• Character design
• Thematic concept visuals
• Art direction and creative exploration

Generating visual content for product prototyping or mockups.

Creating concept art guided by a moodboard of images.

Exploring artistic ideas by blending descriptive language with real-world images.

Producing illustrations based on descriptions and visual themes.

Crafting image variants based on a common style or narrative.

Upload a series of 3 fashion sketches and use the prompt:
"Editorial-style fashion photography, soft lighting, white background"

Provide architectural renders with prompt:
"Modern eco-friendly house surrounded by nature"

Mix a child’s photo with:
"A superhero costume, flying through the sky, dramatic lighting"

May not accurately replicate real-life faces, especially if prompt or images imply real identity use.

Does not support fine-grained editing or photorealistic inpainting.

Unclear or conflicting input (e.g., forest prompt + city images) can lead to mismatched results.

Output may vary slightly between runs, especially when using broad prompts without clear visual guidance.

Not suited for medical, legal, or sensitive identity-related content generation.

Output Format: PNG