Taylor Swift is an American singer-songwriters. Born: 13 December 1989.<h3 id="fuel-my-gpu's-caffeine-addiction!-(ko-fi)https:ko-fi.comcyberaimania-cugn1i1uo"> Fuel my GPU's caffeine addiction! (Ko-fi) <a target="_blank" rel="ugc" href="https://ko-fi.com/cyberaimania">https://ko-fi.com/cyberaimania</a></h3>I would really appreciate it if you could rate and comment on my lores. Your feedback, whether positive or constructive criticism, truly gives me a "kick" and the energy to create new projects. Thank you in advance for your engagement!Trained on the Wan2.1 T2V 14B base model using <code>diffusion-pipe</code>.<ul><li>Dataset:* 100 photos.</li><li>Resolution:* Trained targeting 512px area (aspect ratio bucketing enabled).</li><li>Key Settings:* Rank 32 / LR 3e-5 / 10 Epochs / 10 Repeats (~11.2k total steps).</li><li>Optimizations Used:* Fast settings with Grad Accum = 1 / Blocks Swap = 0, AdamW8bitKahan optimizer, active FP8 precision for DiT &amp; LLM, and Unsloth activation checkpointing.</li></ul>Trigger: swiftayAll my video samples were generated using EPOCH 09, and this same EPOCH 09 is available for download from this site.If you think Tylor looks better when generated with a different EPOCH, feel free to check out:<a target="_blank" rel="ugc" href="https://huggingface.co/ArkaDio81/tylor/tree/main">https://huggingface.co/ArkaDio81/tylor/tree/main</a>I made a simple configurator for TOML files. This is an ALPHA version — it only suggests settings, so you need to be cautious and keep that in mind. It's mainly intended for GPUs with 24GB of VRAM.<a target="_blank" rel="ugc" href="https://drive.google.com/file/d/1Kr-zRImaRJ0by6wO2sQiGnxBWl2jCM_S/view?usp=sharing">https://drive.google.com/file/d/1Kr-zRImaRJ0by6wO2sQiGnxBWl2jCM_S/view?usp=sharing</a>Check out my other LoRAs:<a target="_blank" rel="ugc" href="https://civarchive.com/user/CyberAImania">https://civarchive.com/user/CyberAImania</a>Enjoy!

Taylor Swift | Wan2.1 T2V-14B

tylor.r32.ep09.safetensors

dataset_Taylor_Swift.zip

v1.0

Taylor Swift is an American singer-songwriters. Born: 13 December 1989.<h3 id="fuel-my-gpu's-caffeine-addiction!-(ko-fi)https:ko-fi.comcyberaimania-cugn1i1uo"> Fuel my GPU's caffeine addiction! (Ko-fi) <a target="_blank" rel="ugc" href="https://ko-fi.com/cyberaimania">https://ko-fi.com/cyberaimania</a></h3>I would really appreciate it if you could rate and comment on my lores. Your feedback, whether positive or constructive criticism, truly gives me a "kick" and the energy to create new projects. Thank you in advance for your engagement!Trained on the Wan2.1 T2V 14B base model using <code>diffusion-pipe</code>.<ul><li>Dataset:* 100 photos.</li><li>Resolution:* Trained targeting 512px area (aspect ratio bucketing enabled).</li><li>Key Settings:* Rank 32 / LR 3e-5 / 10 Epochs / 10 Repeats (~11.2k total steps).</li><li>Optimizations Used:* Fast settings with Grad Accum = 1 / Blocks Swap = 0, AdamW8bitKahan optimizer, active FP8 precision for DiT &amp; LLM, and Unsloth activation checkpointing.</li></ul>Trigger: swiftayAll my video samples were generated using EPOCH 09, and this same EPOCH 09 is available for download from this site.If you think Tylor looks better when generated with a different EPOCH, feel free to check out:<a target="_blank" rel="ugc" href="https://huggingface.co/ArkaDio81/tylor/tree/main">https://huggingface.co/ArkaDio81/tylor/tree/main</a>I made a simple configurator for TOML files. This is an ALPHA version — it only suggests settings, so you need to be cautious and keep that in mind. It's mainly intended for GPUs with 24GB of VRAM.<a target="_blank" rel="ugc" href="https://drive.google.com/file/d/1Kr-zRImaRJ0by6wO2sQiGnxBWl2jCM_S/view?usp=sharing">https://drive.google.com/file/d/1Kr-zRImaRJ0by6wO2sQiGnxBWl2jCM_S/view?usp=sharing</a>Check out my other LoRAs:<a target="_blank" rel="ugc" href="https://civitai.com/user/CyberAImania">https://civitai.com/user/CyberAImania</a>Enjoy!

Files with SHA256: a589717cd0a1ab256be6e6c87f5bf8f70a5c74e67cc9186b18a1e98424b79d0e