Several Pony checkpoints and SDXL merged for generating realistic, detailed, and naturally portraits and photographs.
Compatible with Pony and SDXL Lora
Base Generation
Steps: 30+
CFG-scale: 3 for more realism, 6 is cleaner
Sampler: DPM++ 2M SDE
Scheduler: karras for realistic skin texture, otherwise sgm_uniform or beta
Reflecta Pony is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user damocles_aaa. Derived from the powerful Stable Diffusion (Pony) model, Reflecta Pony 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 Reflecta Pony is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as realism, base model, photo.
With a rating of 0 and over 0 ratings, Reflecta Pony is a popular choice among users for generating high-quality images from text prompts.
Yes! You can download the latest version of Reflecta Pony from here.
To use Reflecta Pony, 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 Reflecta Pony, check out our crash course in AI image generation.
Several pony checkpoints and SDXL merged for generating realistic, detailed, and naturally portraits and photographs.
Compatible with Pony and SDXL Lora
Recommended Settings
Base Generation
Steps: 30+
CFG-scale: 3 for more realism, 6 is cleaner
Sampler: DPM++ 2M SDE
Scheduler: karras for realistic skin texture, otherwise sgm_uniform or beta
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