# Using the website ## Starting a finetuning job Head over to , and sign up if you haven't already. You will be greeted by the simplified model creation interface. From this interface, you can set the training parameters used to finetune a Stable Diffusion model. Finetuning models is an art! You can find many resources online. Read our guide if you are new to this: {% content-ref url="/pages/FRHzCdH1jblXZDvCao64" %} [Good SD1.5 default settings](/guides/good-sd1.5-default-settings.md) {% endcontent-ref %} A simple example would be training the model on someone's face, using 12 images, with the instance prompt `photo of ukj person` and using the standard Stable Diffusion v1.5 model:
It will cost you tokens to start the job. Buy some if you don't have any left. Your first run is on us. When everything is set up, the "Start job" button will turn blue. Click it to launch the process! 🚀 ## Downloading the resulting checkpoint As soon as you start the job, you will see it appear in the "Latest jobs" list underneath:
It will take a few minutes for the model to be trained. It usually takes around 3 minutes to train 1'200 steps for SD1.5 models. As soon as your model is ready, you will get an email, and the download link will appear on the list. You need to download it quickly: after 48 hours, it is by default deleted from our servers. ## Generating images using the trained model You can now use your checkpoint to generate images, just follow our guides [Generate images](/generate-images.md). --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.dreamlook.ai/train-models/using-the-website.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.