Developed by: AIL-tech
Model type: Diffusion-based text-to-image generative model
Model Description: AIL-Rendering-sd1.5-v10 is the first version of this model, fine-tuned for 600k steps. It can generate high-quality renderings more accurately from tag prompts.
License: CreativeML Open RAIL++-M License
Fine-tuned from: SD 1.5
Special Tags
Quality tags include: masterpiece, best quality, high quality, good quality, normal quality, low quality, worst quality.
Recommended settings
To guide the model towards generating high-aesthetic images, use negative prompts like:
lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry
For higher quality outcomes, prepend prompts with:
((masterpiece, best quality)), highres,
it’s recommended to use a lower classifier-free guidance (CFG Scale) of around 6-8, sampling steps below 30, clip skip set to 2, and to use Euler Ancestral (Euler a) as a sampler. Also could try DPM adaptive, which is slower but might give a better result.
Multi Aspect Resolution
This model supports generating images at the following dimensions:
768 x 768, 704 x 832, 640 x 896, 576 x 960, 518 x 1088, 518 x 1152, 448 x 1216, 448 x 1280, 384 x 1472
The Future Plan:
This model is the first attempt at training an architecture-specific model, and a SDXL version will be released subsequently."
