Please post one of your created images here, in the model's gallery, using "+ Add post". Thank you :-D New and improved in v1.0:<ul><li>Realistic clothing: Highly detailed fabrics, seams, and folds.</li><li>Wide pose variety: Poses learned from a diverse dataset to ensure natural sagging and accurate fabric wrinkling.</li><li>Natural lighting: Consistent and lifelike illumination throughout.</li><li>Reduced overfitting: Thanks to improved and concise captions during training.</li><li>Flawless results: No plastic-like skin, broken nipples, or distorted faces.</li></ul>Recommended settings:<ul><li>Strength: 1.0 (Other values not extensively tested yet.)</li><li>Guidance: 2 for optimal results, but up to 3.5 is possible. Even at higher values, there are no issues with nipples, plastic-like skin, or faces.</li><li>Resolution: Resolutions of 768x1024 or higher are strongly recommended to avoid potential moiré effects.</li></ul>Known issues: belts, belts everywhere, too many leather patches and Nike sneakers. New dataset in progress.Triggerword optional, best combinations for prompts include:<ul><li>sagging [details] [pants] (Enhance prompts with phrases like '(slightly) pulled down'.)</li><li>reveal(ing) [details] [underwear].</li><li>exposed/exposing [underwear].</li><li>[details] waistband/text/brand.</li></ul>Examples:<ul><li>"A photo of a young woman viewed from the front. She wears a black blouse and sagging black jeans, revealing white boxers with a green waistband displaying the yellow text 'I ❤️ SAGGING'."</li><li>"A man with dark-toned skin is standing with his left side facing the camera, wearing red sneakers, a light-blue hoodie, and sagging light-purple sweatpants, revealing black boxers."</li></ul>For more Examples check the uploaded images or take a look at the captions (Dataset).Targeted Sagging Control: This LoRA allows you to direct the sagging effect to specific individuals or clothing items in your scene.Example: "The person on the right wears blue jeans and a black hoodie, while the other person is wearing sagging dark grey sweatpants and exposing bright green briefs." Additional notes:<ul><li>Combination potential: This LoRA integrates well with <a target="_blank" rel="ugc" href="https://civarchive.com/models/795329/briefs-and-bulges-flux?modelVersionId=938192">Briefs and Bulges - FLUX</a></li><li>Waistband customization:<ul><li>For custom text on waistbands, you can use emoticons like 😍🍆😈.</li><li>To remove text or design, simply include "with a plain [optional:color] waistband" in your prompt.</li></ul></li></ul>

Sagging [Flux]

Dataset:Greater variety, but lower number in images, better captions, unfortunately again fragmented into tags due to the incorrect use of the onsite trainer from <a target="_blank" rel="ugc" href="http://Tensor.art">Tensor.art</a>.Known issues: The subject does not always know where the front and back are. As a result, the anatomy is sometimes considerably disturbed (bottom on the knees or stomach, etc.).Due to the incorrect captioning/tagging, the people are sometimes generated too large, too small or with two buttocks.The model has also incorrectly learned to generate doors, sockets or towel rails on the wall.Stay tuned. v0.4 - v0.9 will be published within the next few hours.Images: 30 Captions: natural language, destroyed by TAEpoch 35 · Steps: 5250 · Loss: 0.228Trigger words: -Repeat: 10Epoch: 35Save Every N Epochs: 3Clip Skip: -Text Encoder learning rate: 0.00001Unet learning rate: 0.0001LR Scheduler: constantOptimizer: AdamW8bitNetwork Dim: 16Network Alpha: 16Gradient Accumulation Steps: 2Noise Offset: 0.03Multires noise Discount: 0.1Multires noise iterations: 10conv_dim: -conv_alpha: -Batch Size: -Sampler: euler

Files with SHA256: e3944340774b6d3da0315f65fcf0571760d074fc24e2910434258109104d92ae