description: <h3 id="virtual-diffusion-lora-model-card-9iy19nhxq">Virtual Diffusion LoRA Model Card</h3><p>Model Overview</p><p><strong>Name:</strong> Virtual Diffusion<br /><strong>Activation Tag:</strong> None<br /><strong>Data:</strong> Self-made data, sourced data, Nijijjourney 3D, synthetic data<br /><strong>Purpose:</strong> Enhance visual content with a theoretical approach (well, in theory lol - we don't remember what it does because we used a weird approach to it lol)</p><p>Info: It seems to be that it assumes "solo, realistic" are it's keywords, becuse the more CGI looks come when you use it at higher strengths.  It's interesting because the concept is similar to the NijiCGI one, but in that it DOES pick up on solo/realistic tags ( i dont know why lmao) I may have accidentally left keep tokens on when training.  </p><p>Use case: use on it's own OR in conjunction with another lora to add 3d semi realistic and 2.5d type styles to your image.</p><hr /><p>Training Information</p><p><strong>Output Name:</strong> Virtual_3d_Diffusion_Update<br /><strong>Model Name:</strong> ponyDiffusionV6XL.safetensors<br /><strong>Network Module:</strong> networks.lora<br /><strong>Optimizer:</strong> Prodigy (decouple=True, weight_decay=0.01, betas=[0.9, 0.999], d_coef=2, use_bias_correction=True, safeguard_warmup=True)<br /><strong>Learning Rate Scheduler:</strong> Cosine with restarts<br /><strong>Network Dimensions:</strong> 16<br /><strong>Network Alpha:</strong> 16<br /><strong>Epochs:</strong> 10<br /><strong>Steps:</strong> 8160<br /><strong>Learning Rate:</strong> 0.75<br /><strong>Text Encoder Learning Rate:</strong> 0.75<br /><strong>UNet Learning Rate:</strong> 0.75<br /><strong>Noise Offset:</strong> 0.0357<br /><strong>Minimum SNR Gamma:</strong> 8<br /><strong>Training Started:</strong> June 8, 2024, 04:38 UTC<br /><strong>Training Finished:</strong> June 8, 2024, 09:21 UTC<br /><strong>Training Time:</strong> 4 hours 42 minutes 54 seconds</p><hr /><p>Model Description</p><p>Virtual Diffusion is a unique model utilizing a mix of self-made data, curated content from Flickr and Pinterest, Nijijjourney 3D resources, and synthetic data. It is designed to enhance visual content theoretically, employing innovative techniques to refine and enrich images with a virtual aesthetic inspired by Second Life and similar virtual environments.</p><hr /><p>Usage Notes</p><p>This model has undergone minimal testing and primarily serves to explore theoretical enhancements in visual content. It operates with a focus on generating images that evoke a virtual and imaginative quality, influenced by its training on diverse datasets encompassing digital art, 3D renders, and virtual world aesthetics.</p><hr /><p>About the Creator</p><p>The Virtual Diffusion model is developed by the Duskfall Portal Crew, a DID system with over 300 alters, navigating life with DID, ADHD, Autism, and CPTSD. They explore the potential of AI to break down barriers and enhance mental health through creative expression and identity exploration.</p><hr /><p>Ethical Use and Licensing</p><p>Users should be mindful of ethical considerations when using the Virtual Diffusion model, respecting intellectual property rights and promoting inclusivity in creative expressions.</p><hr /><p>Join Our Community</p><ul><li><p><strong>Website:</strong> <a target="_new" rel="ugc" href="https://example.com">End Media</a></p></li><li><p><strong>Discord:</strong> <a target="_new" rel="ugc" href="https://example.com">Join our Discord</a></p></li><li><p><strong>Backups:</strong> <a target="_new" rel="ugc" href="https://example.com">Hugging Face</a></p></li><li><p><strong>Support Us:</strong> <a target="_new" rel="ugc" href="https://example.com">Send a Pizza</a></p></li></ul><p><strong>Community Groups:</strong></p><ul><li><p><strong>DeviantArt Group:</strong> <a target="_new" rel="ugc" href="https://example.com">DeviantArt Group</a></p></li><li><p><strong>Subreddit:</strong> <a target="_new" rel="ugc" href="https://example.com">Reddit</a></p></li></ul><hr /><p>Embeddings to Improve Quality</p><p><strong>Negative Embeddings:</strong> Use scenario-specific embeddings to refine outputs.</p><ul><li><p><a target="_new" rel="ugc" href="https://example.com">Pony Negative Embeds</a></p></li></ul><p><strong>Positive Embeddings:</strong> Enhance image quality with these embeddings.</p><ul><li><p><a target="_new" rel="ugc" href="https://example.com">PDXL Score Embed</a></p></li></ul><hr /><p>Extensions</p><ul><li><p><strong>ADetailer:</strong> <a target="_new" rel="ugc" href="https://example.com">ADetailer GitHub</a></p><ul><li><p><strong>Usage:</strong> Use this extension to enhance and refine images, but use sparingly to avoid over-processing with SDXL.</p></li></ul></li><li><p><strong>Batchlinks:</strong> <a target="_new" rel="ugc" href="https://example.com">Batchlinks for A1111</a></p><ul><li><p><strong>Description:</strong> Manage multiple links when running A1111 locally or on a server.</p></li><li><p><strong>Addon:</strong> <a target="_new" rel="ugc" href="https://example.com">@nocrypt Addon</a></p></li></ul></li></ul><p><strong>Additional Extensions:</strong></p><ul><li><p><a target="_new" rel="ugc" href="https://example.com">Danbooru Prompt</a></p></li><li><p><a target="_new" rel="ugc" href="https://example.com">SD Civitai Browser Plus</a></p></li><li><p><a target="_new" rel="ugc" href="https://example.com">Embedding Merge</a></p></li><li><p><a target="_new" rel="ugc" href="https://example.com">SD WebUI AR</a></p></li><li><p><a target="_new" rel="ugc" href="https://example.com">Supermerger</a></p></li><li><p><a target="_new" rel="ugc" href="https://example.com">Lobe Theme</a></p></li><li><p><a target="_new" rel="ugc" href="https://example.com">Model Toolkit</a></p></li><li><p><a target="_new" rel="ugc" href="https://example.com">Model Converter</a></p></li></ul>
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name: Virtual Diffusion Styler (Semi Detailer) PonyXL
tags: anime 3d sexy style woman game character lora styles