Ecocoro Brings Commercial Anime Image Generation to 13GB VRAM
Ecocoro is a lightweight, Apache 2.0-licensed anime image generation and editing model fine-tuned on FLUX.2 klein 4B, built for creators who need clean licensing and low VRAM usage.
PRO- Ecocoro Preview 1 is a full fine-tune of FLUX.2 klein 4B for anime/illustration image generation, released under Apache 2.0.
- Runs on ~13GB VRAM (RTX 3090/4070 and above), making it accessible for local deployment on consumer hardware.
- Supports both text-to-image generation and image editing via the base model's multi-reference architecture.
- Accepts Danbooru-style tags, natural language, or mixed prompts; compatible with diffusers and ComfyUI.
- Apache 2.0 license covers weights and outputs, enabling commercial use without restrictions.
- Still a preview: known issues with hands, anatomy, and consistency across generations; author is actively seeking feedback.
Most anime-style image generation models come with a catch: restrictive licenses that block commercial use, or hardware requirements that demand a top-tier GPU. Ecocoro Preview 1 is a new open model from Yasunori Ozaki (alfredplpl) that takes direct aim at both problems. It is a full fine-tune of Black Forest Labs' FLUX.2 klein 4B, purpose-built for expressive anime and illustration-style image generation, and it ships under Apache 2.0, meaning you can use it commercially without any licensing gymnastics.
A small base with a big pedigree
The foundation here matters. FLUX.2 klein 4B Base is a 4 billion parameter rectified flow transformer capable of generating images from text descriptions and supports multi-reference editing capabilities. A rectified flow transformer is a type of diffusion model that learns to move images from noise to clean output along straighter, more efficient paths than older architectures. The base model is undistilled, preserving the complete training signal, making it ideal for fine-tuning, LoRA training, research, and custom pipelines where control matters more than speed.
Critically for anyone running locally, the FLUX.2 klein 4B Base model fits in approximately 13GB VRAM and is accessible on NVIDIA RTX 3090/4070 and above. That is a meaningfully lower bar than the 24GB+ required by many full-scale FLUX variants. Ecocoro inherits this footprint, and the author notes in the release tweet that it is light enough to run on even less VRAM in practice.
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