krea2-turbo-edit-GGUF
8-step distilled text-to-image and identity-preserving instruction editing — ≈35 s per 1024² image on an RTX 5090, guidance-free. > **What this repo is:** the Krea 2 Turbo Edit denoiser (identity LoRA baked > in) as GGUF at three quant tiers plus a scaled-FP8 build, with the > Qwen3-VL-4B text encoder and Qwen-Image VAE it needs — weights only, not a > retrain. The settings below are the values these weights are actually run > with day to day. **prompt:** `a red apple on a rustic wooden table beside a window, soft daylight, fine skin texture and wood grain, studio photograph, sharp focus` — 1024×1024, 8 steps, guidance 0.0, seed 12345 **prompt:** `portrait of an older fisherman with a weathered face, natural window light, shallow depth of field, photorealistic` — 1024×1024, 8 steps, guidance 0.0, seed 99
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8-step distilled text-to-image and identity-preserving instruction editing — ≈35 s per 1024² image on an RTX 5090, guidance-free. > **What this repo is:** the Krea 2 Turbo Edit denoiser (identity LoRA baked > in) as GGUF at three quant tiers plus a scaled-FP8 build, with the > Qwen3-VL-4B text encoder and Qwen-Image VAE it needs — weights only, not a > retrain. The settings below are the values these weights are actually run > with day to day. **prompt:** `a red apple on a rustic wooden table beside a window, soft daylight, fine skin texture and wood grain, studio photograph, sharp focus` — 1024×1024, 8 steps, guidance 0.0, seed 12345 **prompt:** `portrait of an older fisherman with a weathered face, natural window light, shallow depth of field, photorealistic` — 1024×1024, 8 steps, guidance 0.0, seed 99
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