sd_mecha recipe: (part 1), (part 2)
The result is close to base model, helps with detail and stabilization.
The recipe is different from the previous test. IterComp is added at 2.0 value, then a slerp is done with the base model at 0.5. Then, an orthogonal procrustes with the result and the base model, to keep the original composition.
[Click for information on the model & how to use it].
-- usage tips --
I recommend using RescaleCFG at 0.7 to prevent oversaturation. For upscaling, this latent upscaler preserves the latent quite well, and Manhwa Null removes jpeg artifacts.
NoobAI Vpred 0.6 [itercomp fix] is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user reoe. Derived from the powerful Stable Diffusion (Illustrious) model, NoobAI Vpred 0.6 [itercomp fix] 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 NoobAI Vpred 0.6 [itercomp fix] is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as anime, base model.
With a rating of 0 and over 0 ratings, NoobAI Vpred 0.6 [itercomp fix] is a popular choice among users for generating high-quality images from text prompts.
Yes! You can download the latest version of NoobAI Vpred 0.6 [itercomp fix] from here.
To use NoobAI Vpred 0.6 [itercomp fix], 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 NoobAI Vpred 0.6 [itercomp fix], check out our crash course in AI image generation.
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