Who it is built for
- Creators training custom Stable Diffusion models
- Developers automating model training with an API
- Users who need downloadable model checkpoints or LoRA files
Fine-tune Stable Diffusion models and generate images
dreamlook.ai lets users fine-tune custom Stable Diffusion models from training images, then generate images through its web app or API. It supports SD1.5 and SDXL, exports full model checkpoints or LoRA files, and offers plans that expand training, storage, and concurrency limits.
The decision
Start with the job, the team, and the constraints. Product fit becomes much clearer when those three line up.
Inside the product
The core product capabilities, grouped around the work they enable.
dreamlook.ai fine-tunes both the text encoder and UNet for Stable Diffusion 1.5 and SDXL models.
Users can download full model checkpoints or extract LoRA files from trained models.
The platform provides an API for training models and generating images programmatically.
Upload training images through the website or submit them through the API, then configure a Stable Diffusion training job. After training, generate images with the model or download its checkpoint or LoRA file for use elsewhere.
Plans and official links
See the entry price, free access options, company details, and direct vendor destinations in one place.
Choosing for a real workflow?
We map the workflow, connect existing systems, choose what to buy, and build what is missing.