| --- |
| license: other |
| license_name: stabilityai-ai-community |
| license_link: >- |
| https://huggingface.co/stabilityai/stable-diffusion-3.5-large/blob/main/LICENSE.md |
| --- |
| |
| # 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 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. |
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| - **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 |
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| ## Uses |
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| ### Direct Use |
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| Absynth 2.0 can be used directly for: |
| - Generating hyper-detailed artistic images |
| - Concept art and visual storytelling |
| - 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: |
| - Some abstract grid like patterns |
| - Potential biases inherent in the original Stable Diffusion 3.5 model |
| - 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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