<h3 id="important:-read-below-ql1cufi4x"><a target="_blank" rel="ugc" href="https://ko-fi.com/ctian"><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/96d7083d-78bd-4c6a-bf9a-3adbedb35e04/width=525/96d7083d-78bd-4c6a-bf9a-3adbedb35e04.jpeg" /></a>IMPORTANT: READ BELOW</h3>Trigger words: ctianly, ochre hair, Clothing: black jacket, green necktie, sweater vest, striped thighhighs, panties, dress shirt, Animal ears: cat ears, cat tail, cat girl,Example Positive prompt ✅:<pre><code>score_9, score_8_up, score_7_up, source_anime, 1girl, ctianly, black jacket, green necktie, sweater vest, striped thighhighs, dress shirt, standing, outdoors,, looking at viewer,</code></pre>Negative prompt ❌:<pre><code>sketch, 3d, score_6, score_5, score_4, worst quality, low quality, floating hair, sunrise, muscular female, outline, (holding), fat, obese, sunrise, medieval, castle, jewelry, holding phone, pointing,</code></pre>Recommended resolution, aspect ratio for sdxl, pony 📷768 x 1344: Vertical (9:16)832 x 1216: Portrait (4:5) **1024 x 1024: Square (1:1)1182 x 886: Photo (4:3)1254 x 836: Landscape (3:2)1365 x 768: Widescreen (16:9)Work flow 🔧1. Collect dataset (booru, pixiv, anime screencaps, search,)2. Clean up dataset using upscalers, inpainting, adetailer, photoshop3. Tag dataset using booru <a target="_blank" rel="ugc" href="https://github.com/starik222/BooruDatasetTagManager">github</a>4. Train LoRa in kohya ss locally <a target="_blank" rel="ugc" href="https://github.com/bmaltais/kohya_ss">github</a>5. Test epochs using xyz grid in controlnet to ensure LoRa is not overfitted/underfitted.6. Submit model to CivitAI <a target="_blank" rel="ugc" href="https://civarchive.com/user/ctian">profile</a>Lora Model trained on Pony Diffusion V6 XL Example images generated using AutismMix SDXLCheck lora metadata for training parameters<h1 id="faq:-z3b4qgy0s">FAQ:</h1>Q: How do I use this? A: This is a Low-Rank Adaptation (LoRa), it is trained on the ponydiffusion v6 model, and is only compatible with pony checkpoints. You can use this LoRa model in civitai by clicking the "create" button next to the paintbrush icon. If you are generating locally, download the model and place the file in your LoRa folder.Q: How do I make models like you? A: I listed my workflow in the description of all my lora models, use it as reference. If you want you can contact me if you need help with your creating your own lora.Q: Can I request lora model for free? A: Yes you can message me, but I will only do characters that I like or I feel requires a LoRa. I am not obligated to respond to these requests or complete them.Q: Are all your models free? A: Yes all my models are free to use and to download, you can find them here and other websites.Q: why not use character name as trigger word? A: I use unique token to prevent other things from bleeding in when using the triggerword.Q: do you have other account in other websites? A: yes, tensor, pixaiQ: what external generator do you use? A: <a target="_blank" rel="ugc" href="https://github.com/AUTOMATIC1111/stable-diffusion-webui">a111 </a>mostly, <a target="_blank" rel="ugc" href="https://github.com/comfyanonymous/ComfyUI">comfyui </a>for img2vidQ: What checkpoint you use to generate example images A: I use<a target="_blank" rel="ugc" href="https://civarchive.com/models/288584/autismmix-sdxl"> </a>autismmix checkpoint.

Lynette Bishop リネット・ビショップ PONY -  Strike Witches

LynetteBishop_PONY_ct.safetensors

v1.0

<h1 id="lynette-bishop-world-witches-seriespony-egorbiraq">Lynette Bishop リネット・ビショップ - World Witches Series PONY</h1>a kofi commission by <a target="_blank" rel="ugc" href="https://civitai.com/user/Akumakushu">@Akumakushu</a> Trigger words: ctianly, ochre hair, Clothing: black jacket, green necktie, sweater vest, striped thighhighs, panties, dress shirt, Consider tipping? <a target="_blank" rel="ugc" href="https://ko-fi.com/ctian">https://ko-fi.com/ctian</a> 768 x 1344: Vertical (9:16) 915 x 1144: Portrait (4:5) 1024 x 1024: square 1:1 1182 x 886: Photo (4:3) 1254 x 836: Landscape (3:2) 1365 x 768: Widescreen (16:9) 1564 x 670: Cinematic (21:9)

Files with SHA256: 5722b5298bb9455ed0cb03e4b4fd0059f0d6c53630fb2e397e3a19a0a0e1b163