--- license: unknown pipeline_tag: text-to-image tags: - text-to-image - anime - inpainting - controlnet - distilled - turbo --- # Anima Turbo — anime generation + LLLite inpainting A 4B anime-native turbo model — **≈6 s per 1024² image** on an RTX 5090 at 10 steps, with a ControlNet-LLLite inpainting patch for masked edits. > **What this repo is:** the Anima Turbo denoiser, the LLLite inpainting > patch, a Qwen3-0.6B text encoder and the Qwen-Image VAE — weights only, not > a retrain. The settings below are the values these weights are actually run > with day to day. --- ## Samples Anime is what this model is for — these are 10-step, guidance 1.0 renders.


_{prompt: `masterpiece, best quality, anime illustration of a girl in a school uniform standing on a rooftop at sunset, detailed cel shading, clean linework, dramatic sky` — 1024×1024, 10 steps, guidance 1.0, seed 21}	_{prompt: `masterpiece, best quality, anime illustration, a silver-armored knight with a glowing blue sword in a ruined cathedral, dramatic lighting, detailed` — 1024×1024, 10 steps, guidance 1.0, seed 7}

_{prompt: `masterpiece, best quality, anime background art of a quiet japanese street in summer, blue sky, detailed clouds, vibrant colors, no people` — 1024×1024, 10 steps, guidance 1.0, seed 22}	_{prompt: `masterpiece, best quality, anime illustration, a young woman with long black hair in a white summer dress standing in a flower meadow, blue sky` — 1024×1024, 10 steps, guidance 1.0, seed 21}

--- ## Inpainting (`img2img` + mask) `img2img` on this model is **masked inpainting through the LLLite patch**, not strength-based restyling. Supply the source image, a white-on-black mask of the region to change, and a full prompt describing the desired result.


_{source — the meadow render above, seed 21}	_{mask — ellipse over head and torso; white = repaint}	_{result — prompt changed to `…a young woman with vivid red hair…`, seed 43. Hair tone, eyes and bodice change; the meadow, pose, dress and framing are untouched.}

### What inpainting does and does not do here - **Recolouring and restyling inside the mask works well** — hair colour, eye colour, garment detail. Everything outside the mask is preserved exactly. - **Adding new objects is unreliable.** `wearing a wide straw sun hat` on the same mask produced no hat, only a slight expression change. LLLite is a control patch conditioning an existing composition, not an instruction editor — write the *whole scene* as you want it, and expect changes in the masked region to stay close to the underlying shapes. - **Without a mask, `img2img` is effectively a no-op** — the control signal reproduces the input. Style-transfer prompts return the source image unchanged. If nothing is changing, check that a mask was actually sent. ## Recommended settings Values this build is run with in practice. | Parameter | Production value | Meaning | |---|---|---| | `width` | `1024` | Output width in pixels | | `height` | `1024` | Output height in pixels | | `steps` | `10` | Denoising steps | | `guidance` | `1.0` | Distilled — CFG is not used | | `shift` | `3.0` | Flow-matching timestep shift | | `strength` | `1.0` | **LLLite control** strength (not denoise strength) | | `start_percent` / `end_percent` | `0.0` / `1.0` | Fraction of the schedule the control patch is active for | **Supported modes:** `txt2img`, `img2img` (masked inpainting) ### Notes and gotchas - **`strength` here is ControlNet conditioning strength**, not img2img denoise strength — it scales how hard the LLLite patch holds the source, and the engine also accepts it as `control_strength`. Lower it to let the masked region drift further from the original. - **Quality tags matter.** This model responds strongly to booru-style prefixes (`masterpiece, best quality, anime illustration, …`); without them output drifts toward generic digital painting. - **Photographic prompts are off-domain.** Asking for a `studio photograph` yields painterly, illustration-inflected results — use a photo model for that and this one for anime. - ≈5.4 GB VRAM resident at 1024². Generation is fast enough (≈6 s) that iterating on prompts is interactive. --- ## Layout Components ship as separate files: the denoiser, the LLLite inpainting patch under `split/model_patches/`, the Qwen3-0.6B text encoder, and the VAE. Any loader that accepts explicit per-component paths and can apply a ControlNet- LLLite patch can consume this directly. --- ## Files | File | Size | Role | |---|---|---| | `split/anima-turbo-v1.0.safetensors` | 4.18 GB | denoiser (main weights) | | `split/model_patches/anima-lllite-inpainting-v2.safetensors` | 65.8 MB | ControlNet-LLLite inpainting patch | | `split/text_encoders/qwen_3_06b_base.safetensors` | 1.19 GB | Qwen3-0.6B text encoder | | `split/vae/qwen_image_vae.safetensors` | 254 MB | VAE | --- ## Provenance - **Upstream base model:** Anima Turbo v1.0 (anime-specialised, Qwen-Image family architecture) - **This build:** redistributed with the inpainting patch, encoder and VAE alongside. Weights are not retrained here. - **License:** left as `unknown` in this repo's metadata. Refer to the upstream model's license for redistribution and commercial-use terms.


_{prompt: `masterpiece, best quality, anime illustration of a girl in a school uniform standing on a rooftop at sunset, detailed cel shading, clean linework, dramatic sky` — 1024×1024, 10 steps, guidance 1.0, seed 21}	_{prompt: `masterpiece, best quality, anime illustration, a silver-armored knight with a glowing blue sword in a ruined cathedral, dramatic lighting, detailed` — 1024×1024, 10 steps, guidance 1.0, seed 7}

_{prompt: `masterpiece, best quality, anime background art of a quiet japanese street in summer, blue sky, detailed clouds, vibrant colors, no people` — 1024×1024, 10 steps, guidance 1.0, seed 22}	_{prompt: `masterpiece, best quality, anime illustration, a young woman with long black hair in a white summer dress standing in a flower meadow, blue sky` — 1024×1024, 10 steps, guidance 1.0, seed 21}