B660
Since Balor-V3.1 was created using ChilloutMix, commercial use is prohibited in accordance with the terms and conditions in the following ChilloutMix page.
https://civitai.com/models/6424/chilloutmix
Balor-V2.5 does NOT use ChilloutMix.
Elysium_anime_V2, Ultracolor4, Chillout mix (V2.5 uses Basil mix instead of Chillout mix) were merged.
Balor-V3 is a merged model created with the goal of improving rendering by merging with other models.
In AI art, the depiction of a character's eyes often becomes fuzzy as more clothing and backgrounds are written.
This model specifically aims to maintain the quality of the depiction of these eyes.
Balor-V3 can be hierarchically merged with another freely chosen model ModelA using the following distribution to give that model the elements of Balor-V3.
model A Some model of your choice ModelA
model B Balor-V3
weight 1,1,1,0,0,0,0,1,1,1,0,0,0,1,1,0,0,0,0,0,0,0,1,1,1
base_alpha 1
-
created Balor-V3featModelA
AOM3A3 is used as ModelA in the distribution model.
Since the merge ratio of all elements is 0 or 1, it is possible to create a BalorV2featModelB using Balor-V3featModelA for the other model ModelB.
What is Balor-V3.1 & V2.5?
Balor-V3.1 & V2.5 is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user B660. Derived from the powerful Stable Diffusion (SD 1.5) model, Balor-V3.1 & V2.5 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 Balor-V3.1 & V2.5 is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as anime.
With a rating of 5 and over 3 ratings, Balor-V3.1 & V2.5 is a popular choice among users for generating high-quality images from text prompts.
Can I download Balor-V3.1 & V2.5?
Yes! You can download the latest version of Balor-V3.1 & V2.5 from here.
How to use Balor-V3.1 & V2.5?
To use Balor-V3.1 & V2.5, 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 Balor-V3.1 & V2.5, check out our crash course in AI image generation.
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Latest version (Balor-V2.5featACT): 1 File
About this version: Balor-V2.5featACT
I mistakenly thought that v2.5 had already been released. Sorry!
2 Versions
Go ahead and upload yours!
