Project Photo Beta 2.0 LITE

Project Photo Beta 1.0 LITE
hotfantasy_ai
over 2 years ago

What is Project Photo Beta 2.0 LITE?

Project Photo Beta 2.0 LITE is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user hotfantasy_ai. Derived from the powerful Stable Diffusion (SD 1.5) model, Project Photo Beta 2.0 LITE has undergone an extensive fine-tuning process, leveraging the power of a dataset consisting of images generated by other AI models or user-contributed data. This fine-tuning process ensures that Project Photo Beta 2.0 LITE is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as photorealistic, phonograph, photography.

With a rating of 5 and over 4 ratings, Project Photo Beta 2.0 LITE is a popular choice among users for generating high-quality images from text prompts.

Can I download Project Photo Beta 2.0 LITE?

Yes! You can download the latest version of Project Photo Beta 2.0 LITE from here.

How to use Project Photo Beta 2.0 LITE?

To use Project Photo Beta 2.0 LITE, download the model checkpoint file and set up an UI for running Stable Diffusion models (for example, AUTOMATIC1111). Then, provide the model with a detailed text prompt to generate an image. Experiment with different prompts and settings to achieve the desired results. If this sounds a bit complicated, check out our initial guide to Stable Diffusion – it might be of help. And if you really want to dive deep into AI image generation and understand how set up AUTOMATIC1111 to use Safetensors / Checkpoint AI Models like Project Photo Beta 2.0 LITE, check out our crash course in AI image generation.

Download (7.23 GB) Download available on desktop only
You'll need to use a program like A1111 to run this – learn how in our crash course

Popularity

1k 150

Info

Version Project Photo Beta 1.0 LITE: 2 Files

To download these files, please visit this page from a desktop computer.

About this version: Project Photo Beta 1.0 LITE

None of the sample images were altered, upscaled, etc. All can be reproduced using the metadata

x768 Update

Dont forget use tagger

2 Versions

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