<h3 id="heading-78">🐙 FFusionAI's Tentacle Fashion LoRA 1 Debut! SFW</h3><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f18d0c99-45f7-44e8-b3d4-542a4fd854a4/width=525/f18d0c99-45f7-44e8-b3d4-542a4fd854a4.jpeg" />We're elated to unveil our first foray into the captivating realm of Tentacle Fashion with LoRA N1. Seamlessly generated visuals encapsulate the vision of a contemporary woman, subtly embraced by abstract and surreal tentacles. What's more, these images are curated from our enterprise account with MidJourney and are completely safe for work (guaranteed NO PG 18 rating).<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/13cd8ce5-31df-42de-9613-e0fa5495122c/width=525/13cd8ce5-31df-42de-9613-e0fa5495122c.jpeg" /><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/d0b664a3-aed9-4b6f-a9ee-e287df98164d/width=525/d0b664a3-aed9-4b6f-a9ee-e287df98164d.jpeg" /> <img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/ec3f5577-b6a5-45d8-b1d5-84c9ebded75b/width=525/ec3f5577-b6a5-45d8-b1d5-84c9ebded75b.jpeg" />Our dedication to quality is embodied by the powerful training undertaken using CivitAI Trainer:<pre><code>{
 "unetLR": 0.0005,
 "clipSkip": 1,
 "loraType": "lora",
 "keepTokens": 0,
 "networkDim": 64,
 "numRepeats": 1,
 "resolution": 1024,
 "lrScheduler": "cosine_with_restarts",
 "minSnrGamma": 5,
 "targetSteps": 3525,
 "enableBucket": true,
 "networkAlpha": 16,
 "optimizerArgs": "weight_decay=0.1",
 "optimizerType": "AdamW8Bit",
 "textEncoderLR": 0.00005,
 "maxTrainEpochs": 15,
 "shuffleCaption": false,
 "trainBatchSize": 4,
 "flipAugmentation": false,
 "lrSchedulerNumCycles": 3
}</code></pre>Lycoris training using LoKR, LoHA, Dylora, and a fusion of all have also been infused into our creation. The configuration is set with:<code>--network_args "algo=full" "preset=FFusionAI.toml"</code>and our module type table follows as:<code>{'LohaModule': 176, 'LoConModule': 150, 'FullModule': 26, 'LokrModule': 700}</code>For a deeper dive into the configuration specifics, check out: LyCORIS Config Example <a target="_blank" rel="ugc" href="https://github.com/KohakuBlueleaf/LyCORIS/blob/main/example_configs/preset_configs/example.toml">https://github.com/KohakuBlueleaf/LyCORIS/blob/main/example_configs/preset_configs/example.toml</a><h3 id="heading-61">(TBA) 🎨 Readme Crafted by: 🤖 &amp; FFusionAI 🚀</h3><h3 id="heading-952">🌐 Contact Information</h3>The <a target="_blank" rel="ugc" href="http://FFusion.ai">FFusion.ai</a> project is proudly maintained by Source Code Bulgaria Ltd &amp; Black Swan Technologies.📧 Reach us at <a target="_blank" rel="ugc" href="mailto:di@ffusion.ai">di@ffusion.ai</a> for any inquiries or support.🌌 Find us on:<ul><li>🐙 <a target="_blank" rel="ugc" href="https://github.com/1e-2">GitHub</a></li><li>😊 <a target="_blank" rel="ugc" href="https://huggingface.co/FFusion/">Hugging Face</a></li><li>💡 <a target="_blank" rel="ugc" href="https://civarchive.com/user/idle/models">Civitai</a></li></ul><a target="_blank" rel="ugc" href="mailto:enquiries@ffusion.ai"><img src="https://img.shields.io/badge/Email-enquiries%40ffusion.ai-blue?style=for-the-badge&amp;logo=gmail" alt="Email" /></a>🌍 Sofia Istanbul London<a target="_blank" rel="ugc" href="https://FFusion.ai">https://FFusion.ai</a><a target="_blank" rel="ugc" href="https://FFAI.eu">https://FFAI.eu</a><a target="_blank" rel="ugc" href="https://1e-2.com">https://1e-2.com</a>

🐙 Tentacle FFashion XL Series - SFW (LoRA, LoHA, LoKR, LoRA FA)

Lycoris Lora - x4 Alpha experiment<pre><code>{
 "modelspec.resolution": "1024x1024",
 "ss_v2": "False",
 "modelspec.date": "2023-10-11T04:51:36",
 "ss_network_args": {
 "conv_dim": "32",
 "conv_alpha": "64",
 "algo": "lora"
 },
 "ss_network_module": "lycoris.kohya",
 "modelspec.architecture": "stable-diffusion-xl-v1-base/lora",
 "modelspec.title": "Tentacle-FFashion-Loco-2-lrSNr",
 "modelspec.sai_model_spec": "1.0.0",
 "ss_base_model_version": "sdxl_base_v1-0",
 "ss_network_alpha": "128.0",
 "modelspec.timestep_range": "50,950",
 "modelspec.implementation": "https://github.com/Stability-AI/generative-models",
 "sshs_model_hash": "a536cfe65a699149085c7a7b22549f1924f18eb73d0dfce4ef87dbad4a7fde3d",
 "sshs_legacy_hash": "8db2a037",
 "modelspec.prediction_type": "epsilon",
 "ss_network_dim": "16"
}</code></pre>

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