sborka random aims to generate photorealistic and visually appealing images effortlessly.
Recommendation for generating the first image with sborka random:
Prompt: A simple sentence in natural language describing the image.
Negative: "cartoon, painting, illustration, (worst quality, low quality, normal quality:2)"
Sampler: DPM++ 2M Karras | Steps: 37 | CFG Scale: 5
Size: 512x768 or 768x512
Hires.fix: R-ESRGAN 4x+ | Steps: 10 | Denoising: 0.5 | Upscale x 2
(avoid using negative embeddings unless absolutely necessary)
From this initial point, experiment by adding positive and negative tags and adjusting the settings. Most of the sample images follow this format.
sborka random is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user fireman_jeckyaho8396. Derived from the powerful Stable Diffusion (SDXL 1.0) model, sborka random 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 sborka random is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as base model, photo.
With a rating of 0 and over 0 ratings, sborka random is a popular choice among users for generating high-quality images from text prompts.
Yes! You can download the latest version of sborka random from here.
To use sborka random, 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 sborka random, check out our crash course in AI image generation.
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