Hello, Here is the BulkedUp AI LoRA that was made with Kohya's GUI. The purpose of this LoRA was to create bigger buff dudes on different Stable Diffusion models. I personally use the LoRA between 0.3 to 0.5 strength, with 0.3 strength adding a bit of muscle and 0.5 going even bigger. Although this LoRA can work on different models, this LoRA works really well with a normal model merged with a furry one. One model merge that I'd like to recommend is a model merge between Gay621 Solo Male Focus and Homoerotic v2.0, with a weighted sum multiplier of either 0.3 or 0.5.Using default E621 tags with spaces, like <code>huge muscles</code>, works really well with the LoRA One thing I would like to mention about this LoRA is that if it output dudes that are too huge or have bizarre anatomy, sending them to img2img or inpaint with high denoising strength (between 0.4-0.7) could really help fix them. = Training = - This LoRA was trained on photorealistic AI images, with each image containing only one muscular male. - The LoRA was trained on a model merge between Yiffy-e18, Analog-Diffusion-1.0, and HassanBlend 1.5.- The training settings for the LoRA is from Aitrepreneur's LoRA training video, which is found here: <a target="_blank" rel="ugc" href="https://www.youtube.com/watch?v=70H03cv57-o&amp;t=960s">https://www.youtube.com/watch?v=70H03cv57-o&amp;t=960s</a> = NOTE: The LoRA training used the <code>LoraBasicSettings.json</code> file from the linked video, with <code>"mixed_precision": "bf16"</code> and <code>"save_precision": "bf16"</code>, changed to <code>"mixed_precision": "fp16"</code> and <code>"save_precision": "fp16"</code> due to bf16 giving an error when used.

BulkedUp AI: Hyper Muscles & Anatomy (Male Human / Anthro)

VERSION 2: BULKEDUPAIR2= CHANGELOG =-Completely revamped the dataset with 88 images featuring bigger AI generated photorealistic muscular male anthros/humans.Image Grid Model Comparisons from seeds 1-5:-3 for Fluffusion-3 for Fluffusion-GAIJourney 2.0 (0.5 weighted sum merge)-1 for GAIJourney 2.0

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