Big Love

Please note: The Gwen versions of Big Love are pay-only and special license conditions apply. See description!Big Love Gwen2 produces better skin texture, improved genitals and higher image quality without artifacts. Sex scenes work more reliable now, especially if you provide details. tx2img and upscaling are also a lot better. For editing you can now use booru tags (just avoid identity tags like black wavy hair, blue eyes, high cheekbones, slim, curvy, large breasts) or a mix of natural language and booru. txt2img prompts can be used for editing after removing identity tags. New mxfp8 version that is 1.66x faster than fp8 mixed and much more precise (so less anatomy problems). Works with 16 GB VRAM (better 24+ GB VRAM) with 5060ti and higher. Smaller nvfp4 version with much higher quality that fits into 16 GB VRAM on 5060ti and higher. The new nf4 version (for 12+ GB VRAM) works reliably now and produces higher quality despite smaller size. Better than the GGUF version, which is bigger and has lower quality.Big Love Gwen2 mxfp8 only takes 5 seconds for editing an 1024x1536 image on a RTX 5090. It took 9-10 seconds) with Gwen1 fp8 mixed.Available Versions: 1. fp8 (19.6 GB): BigLoveGwen2_mxfp8.safetensors (for RTX 5060ti and higher or AMD CDNA3/RDNA4 gpus, 16+ GB VRAM, 1.66x faster than fp8 mixed, almost bf16 precision) 2. fp8 pruned (19.1 GB): BigLoveGwen2_fp8mixed.safetensors (less precise than mxfp8, more precise than nvfp4, 16+ GB VRAM) 3. nf4 (13.5 GB): BigLoveGwen2_nvfp4.safetensors (RTX 5060ti and higher, 1.66x faster than fp8 mixed, slow on older gpus): 4. nf4 Pruned (10.3 GB): BigLoveGwen2_nf4.safetensors (12+ GB VRAM, faster &amp; better quality than GGUF, fast on older gpus): 5. GGUF (13.1 GB): BigLoveGwen2-Q5_K_M.gguf (for 12+ GB VRAM, only if above versions are too slow or don't work)Optional Files: 1. BigLoveGwen2_diffusers.zip (for training) 2. ai-toolkit_mod.zip (AI-Toolkit patch for training with 32 GB VRAM)Checkout my <a target="_blank" rel="ugc" href="https://civitai.red/models/897413/big-love?dialog=commentThread&amp;commentId=1196689">Gwen Training comment</a> about training a lora with AI-Toolkit.

bigLove_gwen2.zip

bigLove_gwen2.safetensors

bigLove_gwen2_trainingData.zip

bigLove_gwen2.gguf

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