ERNIE-Image 8B vs FLUX.2 Pro 12B vs SD 3.5: The 2026 Open-Source Text-to-Image Showdown
Three major open-source text-to-image models, each with distinct strengths. ERNIE-Image leads in text rendering with 8B parameters, FLUX.2 Pro excels at LoRA training and photorealism with 12B, and SD 3.5 wins on ecosystem maturity. A comprehensive seven-dimension comparison.
Published: May 27, 2026
Reading time: ~15 minutes
1. Background: The 2026 Open-Source Landscape
The 2026 open-source text-to-image market is dominated by three players:
- ERNIE-Image (Baidu, open-sourced April 2026): 8B DiT parameters, Apache 2.0 license, text rendering and structured layout are its superpowers
- FLUX.2 Pro (Black Forest Labs): 12B mmDiT parameters, multimodal DiT architecture, widely recognized best-in-class LoRA training quality
- SD 3.5 Large (Stability AI): ~6B MMDiT parameters, CreativeML Open RAIL-M license, the most mature ecosystem
These three models represent different technical approaches and design philosophies. This article provides a comprehensive comparison across text rendering, instruction fidelity, aesthetic quality, LoRA trainability, deployment cost, ecosystem maturity, and use case fit.
2. Specifications Comparison
| Dimension | ERNIE-Image | FLUX.2 Pro | SD 3.5 Large |
|---|---|---|---|
| Parameters | 8B DiT | 12B mmDiT | ~6B MMDiT |
| Architecture | Single-stream DiT | Multimodal DiT | MMDiT + QK-Norm |
| License | Apache 2.0 | Open weights | CreativeML Open RAIL-M |
| Default Steps | 50 (Turbo: 8) | 20-50 | 20-50 |
| Default CFG | 4.0 (Turbo: 1.0) | 7.5 | 5.0 |
| Min VRAM | 8GB (NVFP4: 4.78GB) | 12GB | 8GB |
| HF Stars | ⭐ Rising | ⭐ 15K+ | ⭐ 8K+ |
3. Text Rendering: ERNIE-Image's Absolute Advantage
Text rendering remains one of the hardest problems in AI image generation. The gap between these three models is significant.
Benchmark Results
| Benchmark | ERNIE-Image | FLUX.2 Pro | SD 3.5 |
|---|---|---|---|
| LongTextBench Total | 0.9733 | 0.8900 | 0.8500 |
| LongTextBench EN | 0.9804 | 0.8950 | 0.8600 |
| LongTextBench ZH | 0.9661 | 0.8700 | 0.8300 |
Practical Comparison
Scenario 1: Movie Poster with Text
Prompt: "A movie poster for a sci-fi film titled 'INTERSTELLAR', with the title text clearly rendered in bold typography, space background, cinematic lighting"
- ERNIE-Image: ✅ Accurate text rendering, clear and legible typography, well-structured layout
- FLUX.2 Pro: ⚠️ Partially legible text with some character errors, inconsistent font rendering
- SD 3.5: ❌ Blurry text, requires additional ControlNet assistance
Scenario 2: Infographic Generation
Prompt: "An infographic comparing AI model parameters, with clear labels, charts, and text annotations"
- ERNIE-Image: ✅ Multiple text labels rendered accurately, clean chart structure
- FLUX.2 Pro: ⚠️ Short text acceptable, long text error-prone
- SD 3.5: ❌ Manual post-processing needed for text
Conclusion: If you need text-in-image generation (posters, infographics, comics, social media), ERNIE-Image is the only viable open-source choice. Its Prompt Enhancer further optimizes text-related prompt understanding.
4. Instruction Fidelity and Composition Control
GenEval Benchmark Results
GenEval is the standard benchmark for measuring instruction fidelity across single object, two object, and attribute binding tasks.
| Sub-task | ERNIE-Image | FLUX.2 Pro | SD 3.5 |
|---|---|---|---|
| Total Score | 0.8856 | 0.8600 | 0.8200 |
| Single Object | 1.0000 | 0.9800 | 0.9600 |
| Two Objects | 0.9200 | 0.9621 | 0.9100 |
| Attribute Binding | 0.7925 | 0.7500 | 0.7100 |
| Relative Position | 0.8500 | 0.8700 | 0.8000 |
Analysis:
- ERNIE-Image leads in single-object and attribute binding, showing stronger detail adherence
- FLUX.2 Pro edges ahead in two-object and relative position tasks, with slightly better multi-element composition
- SD 3.5 performs mid-range overall, occasionally deviating from instructions in complex scenes
Practical Test
Prompt: "A red bicycle leaning against a blue mailbox, with a yellow cat sitting on the mailbox, on a cobblestone street"
- ERNIE-Image: ✅ Colors, objects, and positional relationships all accurate
- FLUX.2 Pro: ✅ Beautiful composition, excellent object relationship handling
- SD 3.5: ⚠️ Occasional color errors, but overall composition acceptable
5. Aesthetic Quality and Photorealism
OneIG Benchmark
| Benchmark | ERNIE-Image | FLUX.2 Pro | SD 3.5 |
|---|---|---|---|
| OneIG-EN Total | 0.5750 | 0.5800 | 0.5500 |
| OneIG-ZH Total | 0.5543 | 0.5300 | 0.5100 |
Community Feedback
- FLUX.2 Pro: Flowith Blog explicitly states "Flux 2 Pro wins on LoRA training quality and photorealism preservation." The community broadly agrees it leads open-source models in photorealism.
- ERNIE-Image: Aesthetic style leans toward "illustration-like"; photorealism requires specific prompt techniques (as detailed in our EI-045 article: "point-and-shoot film camera, 35mm, front flash").
- SD 3.5: Above-average aesthetics, with the biggest advantage being access to thousands of LoRAs on CivitAI.
Photorealism Ranking
- FLUX.2 Pro — Best skin texture, lighting effects, and depth of field
- ERNIE-Image — Can approach FLUX quality with specific prompt techniques
- SD 3.5 — Acceptable base quality, needs LoRA for improvement
6. LoRA Trainability
LoRA trainability is a critical metric for model practicality. A Reddit user noted: "Unlike ZIT, ERNIE-Image seems to be really good for LoRA training."
| Dimension | ERNIE-Image | FLUX.2 Pro | SD 3.5 |
|---|---|---|---|
| Training Stability | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ |
| Quality Retention | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ |
| Community Resources | ⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ |
| Training Data | 25-30 images | 15-30 images | 10-50 images |
| Recommended Tools | fal.ai, Local | Kohya SS | Kohya SS, CivitAI |
FLUX.2 Pro's edge: Highest LoRA training quality, especially photorealism retention. Post-training model generalization is excellent.
ERNIE-Image's edge: Faster training (8B vs 12B), lower training cost. Character consistency training performs well (see EI-055).
SD 3.5's edge: The richest LoRA library on CivitAI, most ready-to-use resources.
7. Deployment Cost and Hardware Requirements
VRAM Requirements
| Quantization | ERNIE-Image | FLUX.2 Pro | SD 3.5 |
|---|---|---|---|
| BF16 Full Precision | ~16GB | ~24GB | ~12GB |
| FP8 | ~8GB | ~12GB | ~6GB |
| GGUF Q4 | ~5GB | ~8GB | ~4GB |
| NVFP4 | ~4.78GB | N/A | N/A |
Inference Speed (8-step Turbo Mode)
| Hardware | ERNIE-Image Turbo | FLUX.2 Pro | SD 3.5 |
|---|---|---|---|
| RTX 4090 (24GB) | ~3-5s | ~15-20s | ~8-12s |
| RTX 3090 (24GB) | ~5-8s | ~25-35s | ~12-18s |
| RTX 4060 (8GB) | ~8-12s (FP8) | ❌ Can't run | ~15-25s |
Conclusion: ERNIE-Image Turbo has a significant speed advantage, achieving visual quality comparable to 50 steps with just 8 steps. NVFP4 quantization enables running on just 4.78GB VRAM.
8. Use Case Recommendations
Choose ERNIE-Image if you need:
- ✅ Text Rendering: Posters, infographics, comic panels, social media graphics
- ✅ Structured Layout: Multi-panel, grid, and chart generation
- ✅ Low Hardware Requirements: Runs on 8GB VRAM, NVFP4 needs only 4.78GB
- ✅ Fast Iteration: Turbo mode 8 steps in ~3-5 seconds
- ✅ Chinese Support: Native Chinese prompt understanding
Choose FLUX.2 Pro if you need:
- ✅ Photorealism: Best for portrait photography and product photography
- ✅ LoRA Training Quality: Best character consistency and style transfer
- ✅ Aesthetic Quality: First choice for artistic creation and concept design
- ✅ Multimodal Input: mmDiT architecture supports image+text joint input
Choose SD 3.5 if you need:
- ✅ Mature Ecosystem: Thousands of LoRAs and ControlNet models on CivitAI
- ✅ Community Support: Largest community, most tutorials and Q&A
- ✅ Workflow Integration: Deep integration with ComfyUI/A1111
- ✅ Low VRAM Entry: 6B parameters, consumer GPU friendly
9. Summary
| Category | 🥇 | 🥈 | 🥉 |
|---|---|---|---|
| Text Rendering | ERNIE-Image | FLUX.2 Pro | SD 3.5 |
| Photorealism | FLUX.2 Pro | ERNIE-Image | SD 3.5 |
| LoRA Quality | FLUX.2 Pro | ERNIE-Image | SD 3.5 |
| Deployment Cost | ERNIE-Image | SD 3.5 | FLUX.2 Pro |
| Inference Speed (Turbo) | ERNIE-Image | SD 3.5 | FLUX.2 Pro |
| Ecosystem Maturity | SD 3.5 | FLUX.2 Pro | ERNIE-Image |
| Chinese Support | ERNIE-Image | SD 3.5 | FLUX.2 Pro |
There's no "best" model — only the "most suitable" model for your needs. If you're an e-commerce seller generating text-heavy product images in bulk, ERNIE-Image is your choice. If you're a professional photographer追求 photorealism, FLUX.2 Pro is better suited. If you need the most mature ecosystem and richest resources, SD 3.5 is your best pick.