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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.
txt2img, img2img, edit (identity-preserving, 1–2 reference images)| **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 |
| **prompt:** `a rain-slicked Tokyo street at night, neon signs reflecting in puddles, cinematic, 35mm photograph` — 1024×1024, 8 steps, guidance 0.0, seed 1234 |
| **reference** — the seed-99 portrait above, fed back as the edit source | **edit instruction:** `put a red knitted beanie hat on his head` — 8 steps, seed 7, ref_boost 1.0, grounding 768 px | **edit instruction:** `make it rain outside the window, wet glass with raindrops` — 8 steps, seed 7, ref_boost 1.0, grounding 768 px |
| **source** — txt2img output of this build (`a dramatic mountain landscape at golden hour, snow-capped peaks, alpine lake reflection, photorealistic, 35mm photograph`, seed 42) | **img2img prompt:** `An oil painting of a dramatic mountain landscape at sunset, thick impasto brushstrokes` — 1024×1024, 8 steps, **strength 0.75**, seed 42 | **img2img prompt:** `A watercolor painting of a mountain valley at dawn, soft wet-on-wet washes` — 1024×1024, 8 steps, **strength 0.75**, seed 42 | **img2img prompt:** `A detailed pencil sketch of a mountain landscape in warm sepia and sanguine tones` — 1024×1024, 8 steps, **strength 0.75**, seed 42 |
| Component | File | Size | Download |
|---|---|---|---|
| Transformer | krea2_turbo_edit-Q4_K_M.gguf | 7.26 GB | Link |
| Text Encoder | qwen3vl_4b_fp8_scaled.safetensors | 5.24 GB | Link |
| Vae | qwen_image_vae.safetensors | 254 MB | Link |
| Parameter | Production value | Meaning |
|---|---|---|
width | 1024 | Output width in pixels |
height | 1024 | Output height in pixels |
steps | 8 | 8 min, 16 maximum |
guidance | 1.0 | always use 1.0 for turbo variants |
guidance 1.0 is correct. This is a fully guidance-distilled build; the
text conditioning arrives through the Qwen3-VL encoder, not CFG. Raising
guidance is not the lever for prompt adherence.turbo_edit weights).
There is no separate LoRA file to apply; plain txt2img and img2img use the
same weights.put a red beanie on his head, not a man wearing a red beanie. Both reference identity and
scene survive the edit (verified: same face, same window, same shirt across
edits at seed 7).