You can get Big Love Klein4, Cat1, Gwen2 or Hyper1 for $10 on Fanvue and also Eryn1, Ultra5, Photo6, Zuna1 or Zia1 for $5.50. Click 'Follow', buy a post, check your Fanvue DMs! A subscription includes the latest release and new ones within 30 days. Any problem? Contact me via chat. To create up to 85 free images per day in highest quality you can use Big Love here. For discussing photorealistic image generation join me on Discord. Big Love Klein is a fine-tune of Flux 2 klein. It can do txt2img and also edit images with prompts. It only needs 4 steps, so is quite fast. Check the "About this version" box on the right for info on the individual variants. Some are up to 3x faster. It is recommended to use it with ComfyUI. Put the downloaded model into the diffusion models sub folder of ComfyUI. You also need qwen_3_8b_fp8mixed.safetensors in the text_encoders sub folder (Qwen3-8B-Q5_K_M.gguf wth 8 GB VRAM) and flux2-vae.safetensors in the vae sub folder. Check out these anatomy tips. Settings are 4 steps (2 steps for upscaling), cfg1, Euler sampler, Beta or Simple scheduler, 832x1216, 1024x1536, 1280x1920 or 1536x2240 pixels. Drag'n'drop showcase images into ComfyUI for a workflow. Big Love Cat is a finetune of LongCat and allows NSFW image editing. It reproduces faces extremely well, with almost every image, so a lot more reliable than Klein & Gwen. It is only 6B and needs 8 steps cfg 1. Same Apache 2.0 license and text encoder as Qwen Image but 8 GB VRAM are enough. Txt2img and sex scenes are still experimental. The base model was only trained on one input image & only picks up random details from a 2nd image. The bf16 version of Cat is faster than Klein & Gwen. The mxfp8 version is 1.6x faster than bf16 and just as fast as Gwen. There is a new detailer workflow below that I developed for Cat but can be used with any model's images. It uses Photo, Ultra, Hyper or Klein for detailing nipples and pussies. It is recommended to use ComfyUI. Move the model file into the diffusion_model sub folder of the models folder of ComfyUI, qwen_2.5_vl_7b_fp8_scaled.safetensors into the text_encoder sub folder and ae.safetensors into the VAE sub folder. Training speed is more than 2x faster than any transformer model that I know. For training a lora you need SimpleTuner, which requires WSL under Windows and has a WebUI similar to AI-Toolkit. Detailed instructions will become available soon... Big Love Cat produces the sharpest images with er_sde/Normal. In a few cases this adds subtle color grain which can be avoided by increasing steps to 12. er_sde/beta and Euler produce softer images without grain. Settings are 8-12 steps (4 steps for upscaling), cfg 1, er_sde/Normal sampler/scheduler (Softer: Euler/Beta or er_sde/Beta), 832x1216, 1024x1536 or 1232x1824 pixels. Drag'n'drop showcase images into ComfyUI for a workflow. Big Love Gwen is a finetune of Qwen Edit 2511 and can do NSFW image editing. It produces more realistic and sharp images with better skin texture & genitals than other Qwen checkpoints/loras. Txt2img is less reliable, but generates nice results too. Big Love Gwen allows commercial usage without additional fees (if no server generation is involved) unlike Big Love Klein. With its better anatomy it is easier to get good editing results. As fast at 6 steps as Klein at 4 steps. Check the "About this version" box on the right for info on the individual variants. It is recommended to use ComfyUI. The Gwen workflows offer a skin enhance feature that is not available in Forge Neo. Move the Gwen model file into the diffusion_model sub folder of the models folder of ComfyUI, qwen_2.5_vl_7b_fp8_scaled.safetensors into the text_encoder sub folder and qwen_image_vae.safetensors into the vae sub folder. For training a lora read here. Settings are 6-8 steps (3 steps for upscaling), cfg 1-1.5, Euler sampler, Beta scheduler, 832x1216 or 1024x1536 pixels. Drag'n'drop showcase images into ComfyUI for a workflow. Big Love Eryn is a fine-tune of Ernie-Image(-Turbo). You can run it locally with ComfyUI and Forge Neo. The fp8 version works with 8 & 12 GB VRAM. Use the (pruned) bf16 version if you have 16 GB VRAM or more. The "Full" versions are only meant for training a lora (coming soon!). Put the downloaded model into the diffusion models sub folder of ComfyUI or the StableDiffusion sub folder of Forge Neo. You additionally need to place ministral-3-3b.safetensors in the text_encoder sub folder and flux2-vae.safetensors in the VAE sub folder. Settings are 4-6 steps (3-4 steps for upscaling), cfg1, Euler sampler, Beta scheduler, 832x1216 or 1024x1536 pixels. Drag'n'drop showcase images into ComfyUI for a workflow. Big Love Hyper supports generating at image sizes of 1664x2432 (4 megapixel) and higher with SDXL. Can be easily upscaled to 9 megapixel unlike the normal low-res images. Hyper currently has not fully stable anatomy, so needs more runs. Some prompts work better than others. It produces highly detailed and life-like images close to real photos. It has a special quality that cannot be achieved by just upscaling. The Hyper versions of Big Love are pay-only and special license conditions apply (see below). Settings are DMD2 lora with strength 1.0, LCM Exponential, 8 steps, cfg 1, clip skip 2, 1664x2432 or 1536x2240. Upscale with img2img with DMD2 lora with strength 1.0, same prompt, LCM Exponential, 1.25-1.5x, 4-8 steps, cfg 1, 0.3-0.5 denoise, clip skip 2. Look below for a ComfyUI workflow. Big Love ZT, Zia or Zuna are fine-tunes of Z-Image(-Turbo) on the Big Love dataset. You can run it locally with ComfyUI and Forge Neo. The fp8 version works faster with 8 GB VRAM but produces more noise so may sometimes look more realistic, but details are not as good. Use the (pruned) bf16 version if you have 12 GB VRAM or more. The "Full" version is only meant for training a lora. Put the downloaded model into the diffusion models sub folder of ComfyUI or the StableDiffusion sub folder of Forge Neo. To make Big Love ZT/Zia/Zuna work you additionally need to place qwen3_4b.safetensors in the text_encoder sub folder and ae.saftendors in the VAE sub folder. Settings are 8 steps, cfg1, Euler or DPM++ 2s a RF sampler, Normal or Simple or Beta scheduler, 832x1216, 1024x1536 or 1280x1920 pixels. For upscaling 8 steps, cfg1, Euler sampler, Normal or Simple or Beta scheduler, 1.5x upscale. Here is a ComfyUI workflow embedded in a image.