Introducing "RealSciFi" as our model of SD1.5. We update in reviews below everyday, don't forget to checkout!
This model is very suitable for rendering sci-fi scenes and characters, and giving them a realistic texture. The model has been merged and retrained several times, and the following models are used. Therefore, you must abide by the license and agreement of relevant models before using the model commercially:
dreamlike-photoreal-2.0 | redshift-diffusion-v1 | sciFiDiffusionV10_v10
If you have any idea, please don't hesitate to tell us, thanks!
RealSciFi is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user AIfriend. Derived from the powerful Stable Diffusion (SD 1.5) model, RealSciFi 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 RealSciFi is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as landscapes, 3d, photorealistic.
With a rating of 5 and over 4 ratings, RealSciFi is a popular choice among users for generating high-quality images from text prompts.
Yes! You can download the latest version of RealSciFi from here.
To use RealSciFi, 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 RealSciFi, check out our crash course in AI image generation.
With great pleasure to inform you that the RealSciFi model has been updated to V1.1.
Features:
More detailed, enhanced science-fiction presentation and smoother generation, to provide better quality.