DoctorDiffusion
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README.md
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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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# 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)
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