A merge based on NoobAI-XL (epsilon-pred 0.75-version). While losing some of the creativity in posing, it is still rather close and gains stronger colors as well as improved character coherency and even gets more consistent at generating hands and other details.V2 was produced by trying several similar approaches as V1, such as adding the difference between Itercomp and SDXL to it, as well as the difference between V1 and NoobAIXL_Epsilon-pred 0.50-Version, and then merging the best versions with each other and the 0.75 version itself. I repeated this step a few times until I felt like any additional changes only worsened the outcome. I kept the 0.75 Text Encoder, with the goal of preserving the increase in characters it knows, and I feel like not only did it keep its knowledge, but stabilize it a bit as well.
The goal was again to retain the character knowledge, pose variety and general feeling of the base model, while enhancing it as much as possible, especially the colors. While I don't think I wholly succeeded in this, particularly in keeping the poses as varied as they were in 0.75, it's as close as I can get it while keeping the colors the way they are now.
A stupid little merge based on NoobAI-XL (epsilon-pred 0.5-version). It is a bit worse with some artist styles, however I like the colors and feel like the coherency has been improved, so I am sharing it. I would classify it as a general sidegrade that's useful if you want more saturated colors.
To get here, I merged Noob with the perpendicular component of IterComp (https://huggingface.co/comin/IterComp), and then merged that with a blockwise merge of Artiwaifu Diffusion 2.0 and Illustrious. I kept the original NoobAI Clip and used a slightly altered VAE that I found on an anonymous mongolian basketweaving forum.
NoobIEater is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user jyrrata. Derived from the powerful Stable Diffusion (Illustrious) model, NoobIEater 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 NoobIEater is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as anime, aesthetic, base model.
With a rating of 0 and over 0 ratings, NoobIEater is a popular choice among users for generating high-quality images from text prompts.
Yes! You can download the latest version of NoobIEater from here.
To use NoobIEater, 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 NoobIEater, check out our crash course in AI image generation.
Merge of 1.0 and noobieaterv20, with an additional finetune on top
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