Flux 2 vs GPT-Image 1.5
Anime-style characters, manga aesthetic, and cel-shading — see how these models compare with real AI-generated outputs.
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Creating convincing anime visuals in Influencer Studio usually comes down to three things: clean linework, stable character identity, and cel-shaded lighting that reads like animation rather than photorealism. Flux 2 and GPT-Image 1.5 both handle anime-style characters and manga-inspired scenes well, but they emphasize different strengths.
Flux 2 leans into customization and post-generation control (including LoRA support and flexible editing), while GPT-Image 1.5 focuses on prompt adherence and high-fidelity rendering for complex compositions. Below is a practical, anime-first comparison to help you pick the right model for your workflow and credit budget.
Anime — Side-by-Side Results
Prompt
"Anime-style cel-shaded illustration of a 20s woman with shoulder-length teal hair in a messy half-up clip, wearing an oversized beige hoodie and black biker shorts, holding her phone at arm’s length for a casual front-camera selfie while glancing near the lens with a relaxed, just-woke-up expression. She’s in a slightly cluttered bedroom “get ready with me” setup (unmade bed, skincare bottles on a dresser, laundry basket), one knee up on the bed as if mid-story, natural morning window light casting soft shadows. Make it feel like an authentic Instagram story frame with subtle phone-camera perspective distortion, big expressive anime eyes, and vibrant yet everyday colors (not polished or editorial)."
Feature Comparison
| Feature | Flux 2 | GPT-Image 1.5 |
|---|---|---|
| Provider | Black Forest Labs | OpenAI |
| Subcategories | text-to-image, image-to-image | text-to-image |
| 1080p / 2k Mode | Yes | Yes |
| 4k Mode | Yes | No |
| NSFW Rating | Low | Strict |
| Aspect Ratio | 1:1, 16:9, 9:16, 3:4, 4:3 | 1:1, 16:9, 9:16, 3:4, 4:3 |
| Model Variant | Standard, Klein 9B | — |
| Starting Price | 22 credits | 8 credits |
Flux 2 Strengths
- LoRA support for anime-specific character consistency, outfits, and recurring original characters across a series
- Versatile image editing (image-to-image and style transfer) for iterating on lineart, colors, and cel-shading without restarting
- Up to 4MP output for crisp manga panels, poster crops, and clean edges on hair/eyes/ink lines
- Face-swap support for creator-driven anime avatars and consistent “identity” across multiple scenes
- Two pricing tiers (22 credits Standard / 16 credits Klein 9B) for balancing quality vs. cost on anime batch production
GPT-Image 1.5 Strengths
- Strong prompt adherence for specific anime directives (hair style, uniform details, camera angle, and scene constraints)
- High-fidelity rendering that helps with intricate anime costuming, accessories, and dense background detail
- Reliable handling of detailed scenes (multi-character compositions, environmental storytelling, action frames)
- Flexible quality tiers (8/16/32 credits) to match drafts vs. final anime key art
- Good option when you need the model to follow a tightly written “manga panel” prompt with minimal drift
Verdict
Choose Flux 2 if your anime workflow depends on customization and repeatability—especially if you want to lock in a signature manga look, keep an original character consistent via LoRA, or iterate through edits (linework cleanup, recolors, cel-shading tweaks) efficiently. It’s also a strong fit for creators building an anime “brand style” across many assets.
Choose GPT-Image 1.5 if you prioritize prompt-accurate anime compositions and high-fidelity detail in a single pass—particularly for complex scenes, multi-subject frames, or storyboard-like prompts where adherence matters. Its low/medium/high pricing makes it easy to do cheap drafts and reserve higher-cost generations for final key visuals.
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