Why release seperate instead of in versions?
Because the training data is not quite the same as both Dreams AND Future, and I had more control over the training process with more understanding.
Test it via hugging face:
https://huggingface.co/Duskfallcrew/neon-isometric
Coffee is nice: https://ko-fi.com/DUSKFALLcrew
Trained on more NEON style, and tested a regulation concept in dreambooth.
HYPERNETWORK COMING SOON. (it's just finishing up now lol)
Neon Isometric is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user duskfallcrew. Derived from the powerful Stable Diffusion (SD 1.5) model, Neon Isometric 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 Neon Isometric is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as anime, landscapes, 3d.
With a rating of 5 and over 2 ratings, Neon Isometric is a popular choice among users for generating high-quality images from text prompts.
Yes! You can download the latest version of Neon Isometric from here.
To use Neon Isometric, 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 Neon Isometric, check out our crash course in AI image generation.
Coffee is nice: https://ko-fi.com/DUSKFALLcrew
Some of the examples came off an earlier set of steps in the training, and I can provide the checkpoint for that if required... but seriously the final version will produce just as good if not better examples.