This model is a reimagining of the fictional character <a target="_blank" rel="ugc" href="https://civarchive.com/models/234362/manuela-vicious">Manuela Vicious</a>, by <a target="_blank" rel="ugc" href="https://civarchive.com/user/Tower13Studios">Tower13Studios</a>.<h2 id="flux.2-klein-9b">Flux.2 Klein 9B</h2><ul><li>Checkpoint: <a target="_blank" rel="ugc" href="https://civarchive.com/models/2322332/flux2-klein">Flux.2 Klein 9B</a></li><li>LoRA strength: 0.8–1.6</li><li>Sampler: euler, euler_ancestral, res_multistep, or dpmpp_2s_ancestral</li><li>Scheduler: simple or beta</li><li>Steps: 4–12; 30–50 for base model</li><li>CFG Scale: 1, or try 1.2–3; 2–5 for base model</li><li>Trigger word (for superior results): ATRX_MANUELA_FLUX2KLEIN9B</li></ul><h2 id="z-image-turbo">Z-Image —Turbo</h2><ul><li>Checkpoint: <a target="_blank" rel="ugc" href="https://civarchive.com/models/2168935/z-image-turbo">Z-Image Turbo</a>, or try <a target="_blank" rel="ugc" href="https://civarchive.com/models/2342797/z-image-base">Z-Image [Base]</a></li><li>LoRA strength: 1–1.6</li><li>Sampler: dpmpp_2s_ancestral</li><li>Scheduler: simple or beta</li><li>Steps: 4–12</li><li>CFG Scale: 1, or try 1.2–3; CFG Norm: 1–1.12</li><li>Shift: 7 (first sampler) and 0.6 (second sampler)</li><li>Trigger word (for superior results): ATRX_MANUELA_ZIMAGE</li><li>Negative prompt (as needed): "Asian woman, black hair"</li></ul><h2 id="qwen-image-2512">Qwen-Image 2512</h2><ul><li>Checkpoint: <a target="_blank" rel="ugc" href="https://civarchive.com/models/2268063/qwen-image-2512">Qwen-Image 2512</a></li><li>LoRA strength: 0.8–1</li><li>Sampler: res_multistep</li><li>Scheduler: simple</li><li>Steps: 20+, or 4–8 with <a target="_blank" rel="ugc" href="https://huggingface.co/lightx2v/Qwen-Image-2512-Lightning">lightning LoRA</a></li><li>CFG Scale: 2–5, or 1 with lightning LoRA; CFG Norm: 0.94–0.98</li><li>Shift: 3.1</li><li>Trigger word (strictly required!): ATRX_MANUELA_QWEN2512</li></ul><h2 id="qwen-image">Qwen-Image</h2><ul><li>Checkpoint: <a target="_blank" rel="ugc" href="https://civarchive.com/models/1864281">Qwen-Image</a></li><li>LoRA strength: 0.75–1</li><li>Sampler: euler</li><li>Scheduler: simple</li><li>Steps: 15+, but 20+ is better, or 4–8 with <a target="_blank" rel="ugc" href="https://huggingface.co/lightx2v/Qwen-Image-Lightning">lightning LoRA</a></li><li>CFG Scale: 2–5, or 1 with lightning LoRA; CFG Norm: 0.8–0.9</li><li>Shift: 3.1</li></ul><ul><li>IMG-2-IMG denoise: 0.2–0.6</li></ul><h2 id="flux.1">Flux.1</h2><ul><li>Checkpoint: <a target="_blank" rel="ugc" href="https://civarchive.com/models/618692/flux">Flux.Dev 1.0</a></li><li>LoRA strength: 0.8–1.4</li><li>Sampler: deis or euler</li><li>Scheduler: beta or simple (or ddim_uniform for different look, but add steps)</li><li>Steps: 15+, but 20+ is better, or 8–12 with <a target="_blank" rel="ugc" href="https://civarchive.com/models/876388/flux1-turbo-alpha">turbo LoRA</a></li><li>CFG Scale: 2–5</li></ul><ul><li>IMG-2-IMG denoise: 0.65–0.85</li></ul><h2 id="pony">Pony</h2><ul><li>Checkpoint: <a target="_blank" rel="ugc" href="https://civarchive.com/models/153568?modelVersionId=832353">Real Dream SDXL Pony 12</a></li><li>LoRA strength: 0.6–1</li><li>Sampler: DPM++ SDE or euler</li><li>Scheduler: turbo or simple</li><li>Steps: 20–30+, or 8–12 with <a target="_blank" rel="ugc" href="https://civarchive.com/models/1181892?modelVersionId=1330126">turbo LoRA</a></li><li>CFG Scale: 2–5</li><li>ADetailer recommended</li></ul>

Manuela —Reimagined

Prompts must include trigger word for superior results: ATRX_MANUELA_FLUX2KLEIN9B. Can produce artistic nudes pretty well on its own, but can be further assisted when paired with a NSFW LoRA. With structured prompting, other characters described in the scene can fairly retain their own distinctive features without too much bleed over.The model was trained at full rank and is quite large (1.1 GB). I've attempted a number of methods to shrink it without retraining, but have so far been unsuccessful.The dataset for training consisted of 50 high-quality photorealistic images AI-generated using Imagen 4 in Google Flow/Whisk, with references drawn from previously rendered images of the same character. Most images were touched-up using Photopea. SeedVR2 in ComfyUI was used to upscale images from 1024x1024 to 1280x1248. Most captioning was initially carried out in Qwen Chat, but then checked and tweaked through human curation.No known reference to any real person was included in any part of the training.

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