aueki4g467
29 days ago

It is difficult to explain what this model is. Simply put, it is a modified version of a model called basilisk.fp16.safetensors that I created two years ago and found in storage. It was originally a failed attempt based on an old recipe.

Since it was based on a recipe from a much older generation, there were numerous issues with image quality (low resolution and blurriness) and basic quality (such as body structure). To address these issues, I reinforced the core structure with NAI2, thoroughly enhanced photo expression and content, and combined it with high-resolution LoRA models I've been creating recently to create this model. Some might say that the original model is no longer relevant.

In terms of photo models using NAI2, I have already experimented with several using Beyond, but merging anime models into high-level layers tends to lower the characters' ages. This makes it difficult to present on CIVITAI, so they have been shelved. There are also models using others' photo-based models that seem to have achieved fairly good improvements, but they face issues with high-resolution display (though they work fine at standard resolution), leaving them in a delicate situation.

While this model supports high-resolution display, I would not recommend it. It only produces uninteresting images. Additionally, it has a rather distinctive set of characteristics, and depending on the prompt, it may not generate any images at all. From the creator's perspective, the results are acceptable, but surprisingly, the body structure is relatively well-defined (though it can break when it breaks), and the fingers are displayed quite realistically, which is somewhat puzzling.

The DPM++SDE sampler is the most recommended. However, while I usually use a 20-step standard, 24 steps are necessary for photo-realistic rendering with DPM++SDE. The CFG scale is 7-6. This sampler provides the most stable body structure.

With Euler a, 20 steps are sufficient for photographic representation, but it has a semi-realistic tone and lacks the reproducibility of DPM++SDE in details such as mid-range faces. The composition is more stable with DPM++SDE, but it lacks some interest, so trying Euler a is worth considering.

For photographic representation, DPM++3MSDE is superior, but the CFG scale needs to be reduced to around 3.5. The step count is around 28.

DDIM also produces quite good results. It is slightly inferior to DPM++SDE in terms of detail stability, but its expressive power in terms of composition and other aspects is at a high level. The number of steps is 30, and the CFG scale is around 5.5?

Most of the functionality checks were performed using LCM, and while it may be slightly inferior in terms of finger reproduction, it produces sufficient images with 7 steps.

All samplers may retain a slightly semi-realistic tone overall.

The sample images are low-resolution outputs at 512×768 pixels (which has become my standard recently). HighRes.Fix and Adetailer are not used. Negative prompts are used for CIVITAI as a precaution, but they are not mandatory.

Note that Astaroth is an angel (demon) holding a poisonous snake. There is a much longer story about the basilisk, but that will be for another occasion.

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What is Astaroth?

Astaroth is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user aueki4g467. Derived from the powerful Stable Diffusion (SD 1.5) model, Astaroth 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 Astaroth is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as base model, photo, nai2.

With a rating of 0 and over 0 ratings, Astaroth is a popular choice among users for generating high-quality images from text prompts.

Can I download Astaroth?

Yes! You can download the latest version of Astaroth from here.

How to use Astaroth?

To use Astaroth, 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 Astaroth, check out our crash course in AI image generation.

Download (1.94 GB) Download available on desktop only
You'll need to use a program like A1111 to run this – learn how in our crash course

Popularity

30 ~10

Info

Base model: SD 1.5

Latest version (v1.0): 1 File

To download these files, please visit this page from a desktop computer.

1 Version

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