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- ---
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- license: other
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- license_name: stabilityai-ai-community
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- license_link: >-
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- https://huggingface.co/stabilityai/stable-diffusion-3.5-large/blob/main/LICENSE.md
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: other
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+ license_name: stabilityai-ai-community
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+ license_link: >-
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+ https://huggingface.co/stabilityai/stable-diffusion-3.5-large/blob/main/LICENSE.md
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+ ---
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+
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+ # Absynth 2.0: Enhanced Stable Diffusion 3.5 Base Model
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+ <!-- Provide a quick summary of what the model is/does. -->
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+ **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.
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+ ## Model Details
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+ ### Model Description
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+ Absynth 2.0 pushes the boundaries of image generation 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.
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+ - **Developed by:** Doctor Diffusion
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+ - **Model type:** Image Generation (Fine-tuned Stable Diffusion 3.5)
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+ - **License:** stabilityai-ai-community
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+ - **Finetuned from model:** Stable Diffusion 3.5 Large
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+ ## Uses
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+ ### Direct Use
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+ Absynth 2.0 can be used directly for:
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+ - Generating hyper-detailed artistic images
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+ - Concept art and visual storytelling
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+ - Customizable artistic exploration using prompts
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+ ### Downstream Use [optional]
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+ Fine-tune or adapt Absynth 2.0 for specific creative projects or artistic applications.
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+ ## Bias, Risks, and Limitations
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+ While Absynth 2.0 provides significant advancements in visual fidelity, users should be mindful of:
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+ - Some abstract grid like patterns
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+ - Potential biases inherent in the original Stable Diffusion 3.5 model
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+ - Ethical considerations in AI-generated content
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+ ### Recommendations
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+ Users should evaluate the generated content to ensure alignment with their intended applications and ethical guidelines.
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+ ![Absynth 2.0 Preview](Preview.png)