Question 1

What is Seedream 4.5?

Accepted Answer

Seedream 4.5 is ByteDance's latest image generation model, focused on photorealism and fine detail. It improves on Seedream 4.0 with better texture rendering, stronger prompt adherence, and more accurate complex scenes. On Fizzly it costs 1 credit per image and supports up to 10 reference images.

Question 2

Is Seedream 4.5 free to use?

Accepted Answer

You can try it free. New Fizzly accounts receive free credits with no credit card required, and Seedream 4.5 costs just 1 credit per image, so the starter credits cover several generations. Credit packs and subscriptions on the pricing page cover regular use.

Question 3

What improvements does 4.5 have over 4.0?

Accepted Answer

Seedream 4.5 offers enhanced quality with better detail preservation, improved prompt adherence, and more accurate rendering of complex scenes like fur, hair, and intricate textures.

Question 4

How do I use Seedream 4.5 online?

Accepted Answer

Open Fizzly's image generator, choose Seedream 4.5, and write a prompt. Optionally add reference images or a seed value, then generate up to 6 images per batch. It runs in the browser with no installation, and results typically arrive within seconds.

Question 5

Is Seedream 4.5 good for portraits and characters?

Accepted Answer

Yes, Seedream 4.5 excels at both portraits and wildlife photography. It renders fine details like fur, skin texture, and facial features with exceptional realism.

Question 6

How many reference images can I use?

Accepted Answer

You can upload up to 10 reference images to guide the generation. This helps maintain style consistency or include specific visual elements in your output.

Question 7

Should I use Seedream 4.5 or Flux for characters?

Accepted Answer

Use Seedream 4.5 for photorealistic one-off generations. Use Flux if you need to train a LoRA for consistent character generation across multiple images.

Question 8

Can I use seed values for consistent results?

Accepted Answer

Yes. Seedream 4.5 supports seed values, so running the same seed with the same prompt reproduces consistent results. This is useful for iterating on a composition while changing one detail at a time.

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