Absynth 2.0: Enhanced Stable Diffusion 3.5 Base Model
Absynth 2.0 is an enhanced fine-tuned variant of Stable Diffusion 3.5 Large, designed to produce hyper-detailed, high-fidelity images through a novel training methodology utilizing custom-trained Negative LoRAs and inverse fine-tuning techniques.
Model Details
Model Description
Absynth 2.0 pushes the boundaries of SD3.5 by leveraging experimental fine-tuning methodologies to expand the creative capabilities of the Stable Diffusion 3.5 Large base model. It has been specifically crafted to address the need for generating hyper-detailed visuals with an emphasis on fidelity and artistic versatility.
Developed by: Doctor Diffusion
Model type: Image Generation (Fine-tuned Stable Diffusion 3.5)
License: stabilityai-ai-community
Finetuned from model: Stable Diffusion 3.5 Large
Uses
Direct Use
Absynth 2.0 can be used directly for:
Generating hyper-detailed artistic images
Concept art and visual storytelling
Customizable artistic exploration using prompts
Downstream Use [optional]
Fine-tune or adapt Absynth 2.0 for specific creative projects or artistic applications.
Bias, Risks, and Limitations
While Absynth 2.0 provides significant advancements in visual fidelity, users should be mindful of:
Some abstract grid like patterns
Potential biases inherent in the original Stable Diffusion 3.5 model
Ethical considerations in AI-generated content
Recommendations
Users should evaluate the generated content to ensure alignment with their intended applications and ethical guidelines.
