This is a clean version of Nostalgia-mix.
good luck
exam using
best quality, detailed background, girl, ,euro_street, random_wear,
Negative prompt: EasyNegative,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, artist name ,verybadimagenegative_v1.2-6400
Steps: 20, Sampler: DPM++ SDE Karras, CFG scale: 8.5, Seed: 1465095122, Size: 576x768, Model hash: 742e29b186, Model: 0.5(0.55(0.1592m) + 0.45(gerogyoshida)) + 0.5(chettykaigashin2), Denoising strength: 0.5, Clip skip: 2, ENSD: 31337, Hires upscale: 2, Hires steps: 37, Hires upscaler: R-ESRGAN 4x+ Anime6B
Nostalgia-clear is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user cometshooting. Derived from the powerful Stable Diffusion (SD 1.5) model, Nostalgia-clear 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 Nostalgia-clear is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as anime, girl.
With a rating of 5 and over 4 ratings, Nostalgia-clear is a popular choice among users for generating high-quality images from text prompts.
Yes! You can download the latest version of Nostalgia-clear from here.
To use Nostalgia-clear, 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 Nostalgia-clear, check out our crash course in AI image generation.