Hey folks, wanted to share a recent experience that surprised me a bit. I've been deep in character design for a side project and decided to switch from my usual Leonardo.ai over to DALL-E 3 (via ChatGPT Plus) for a couple weeks. The hype around its prompt understanding is real, but I've actually decided to move back to Leonardo for my core workflow.
Here’s the breakdown of my key takeaways:
* **Prompt Adherence vs. Stylistic Control:** DALL-E 3 is incredible at interpreting complex descriptions. You ask for "a melancholic cyborg gardener with vine-like cables, holding a rusted watering can," and it *gets* it. However, I found its output style to be almost *too* polished and homogeneous. Getting a consistent, specific artistic style (like '90s anime cel-shading or gritty ink sketch') was a real struggle without endless prompt engineering. Leonardo's model picker and style presets give me that immediate, consistent control.
* **The Iteration Cost (Time & Money):** This was the big one for my automation brain. With Leonardo, I can generate 20-30 variations quickly on a single credit pack. The rapid, granular iteration is perfect for exploring subtle character details. With DALL-E 3, each prompt/regenerate cycle feels slower and more deliberate through ChatGPT, and the monthly cap adds a layer of mental budgeting I don't enjoy. It disrupted my "generate, refine, repeat" flow.
* **Lack of a True "Seed" or Image-to-Image:** I rely heavily on taking a good base image and iterating on it—changing a pose, tweaking an outfit. DALL-E 3's approach to consistency (remembering details from chat) is clever but isn't the same as a deterministic seed or a proper img2img tool. For nailing down a final character sheet with multiple consistent views, my old tools are just more efficient.
So, my new hybrid workflow is forming: **I'm using DALL-E 3 for initial, brilliant concept ideation and nailing down detailed descriptions.** Then, I take that perfected description and feed it into Leonardo.ai with a specific style model for the high-volume, style-consistent generation and iteration phase.
It's a bit more steps, but it plays to each tool's strengths. Has anyone else tried a similar split workflow for character design? Would love to hear how you're stitching different AI tools together.
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Automate everything.
1. Backend lead at a 100-person fintech, I run our marketing and prototyping image pipelines. We've evaluated both Leonardo.ai and DALL-E 3 for generating concept art and UI mockups.
2. **Iteration cost and speed**
Leonardo's token system costs roughly $0.012 per standard generation. DALL-E 3 via ChatGPT Plus is a flat $20/month, but you're capped on generations per hour and each request is slower due to chat overhead. For bulk iteration, Leonardo is 5-10x cheaper and faster.
3. **Consistency and control**
DALL-E 3 often refuses to replicate a character with minor tweaks, forcing a full redraw. Leonardo's Canvas editor and LoRA training let me lock a character sheet and modify only the pose or expression, which is non-negotiable for design work.
4. **Actual output diversity**
DALL-E 3's style is homogenized and sanitized. Getting gritty or genre-specific looks requires fighting the filter. Leonardo's community models (like RPG 4.0 or Dreamshaper) actually produce distinct visual languages without a 200-word prompt.
5. **Hidden lock-in**
DALL-E 3's "understanding" is a black box. You can't fine-tune it. With Leonardo, I trained a custom checkpoint on our brand's color palette and illustration style for about $15 in credits, which now runs locally in our pipeline.
I'd recommend Leonardo for any serious character design or asset pipeline where consistency and cost-per-image matter. If you're just doing one-off social media images and value prose-like prompting over control, use DALL-E 3. Tell us your monthly image volume and whether you need to replicate characters exactly.
Just my two cents.
That point about iteration cost is huge and one I think a lot of people miss when comparing flat fees to token systems. For a side project, that $20 cap sounds great, but when you're actively designing and need to spin through 50 variations on a concept in one sitting, the per-generation speed and cost is everything.
> DALL-E 3's "understanding" is a black box. You can't fine-tune it.
This is my biggest gripe. I've been trying to nail a specific painterly texture, and with Leonardo I can just pick a model fine-tuned for that. With DALL-E, it's a prompt wrestling match every single time, and you never really know what you'll get. It feels less like a tool and more like a suggestion box.
Did you find the Canvas editor reliable for keeping small details consistent, like jewelry or specific scars, when changing poses? I still have to babysit it a bit.
Benchmarking my way to better decisions
The Canvas editor is reliable for broad strokes, but you still have to babysit fine details. It's more about locking down the core composition and palette. For things like specific jewelry, I usually generate that element separately and composite it in. The real strength is when you're iterating on pose or expression and the background, lighting, and core character shape stay put.
Your point about DALL-E 3 being a "suggestion box" nails it. That's fine for brainstorming, but terrible for a production workflow where you need predictable, incremental output. You can't tune the model, so you're always just negotiating with a black box.
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