AI Image GenerationAI Development ToolsStable Diffusion Model Training
2

dreamlook.ai

Finetune Stable Diffusion models in minutes

Usage-Based
Free Version
API Available
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dreamlook.ai

Target Audience

  • Stable Diffusion developers
  • AI-powered content creators
  • Generative AI startups
  • Pet avatar app developers

Overview

Dreamlook.ai lets developers and creators quickly train custom AI image models without technical headaches. It specializes in ultra-fast Stable Diffusion fine-tuning and high-volume image generation at competitive prices.

Key Features

1

Blazing Training

Train SDXL models in 10 minutes with full finetuning

2

4s Generations

Create full-res SDXL images faster than most competitors

3

LoRA Extraction

Get compact model files instead of bulky checkpoints

4

Scalable API

Handle thousands of daily runs without infrastructure management

5

30+ Base Models

Train from diverse starting points including RPGv4

Use Cases

🎭

Create virtual photoshoots

📷

Generate stock images

📱

Apply QR code styles

🐾

Power pet avatar apps

🎯

Precise posing with ControlNet

Pros & Cons

Pros

  • 2.5x faster training than alternatives
  • Pay-as-you-go pricing for model runs
  • Enterprise-scale API capabilities
  • Full SDXL fine-tuning support

Cons

  • Exclusive focus on Stable Diffusion ecosystem
  • Requires existing SD workflow knowledge
  • No drag-and-drop interface for beginners

Pricing Plans

Starter

$15

Features

  • 15 SD1.5 training runs
  • 5 SDXL training jobs
  • 1,200 generated images

Professional

$750

Features

  • 1,000 SD1.5 training runs
  • 333 SDXL training jobs
  • 80,000 generated images

Pricing may have changed

For the most up-to-date pricing information, please visit the official website.

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Frequently Asked Questions

How fast is the training process?

Trains 1,500 SDXL steps in 10 minutes with full model finetuning

Can I use my own base models?

Yes, supports training from 30+ base models including custom options

What file formats are supported?

Produces compact LoRA files instead of full checkpoints

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