Intrinsic Distribution Matching improves few-step image distillation
At two network evaluations, IDM scored 94.25% on Chinese and 90.20% on English LongText-Bench.
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At two network evaluations, IDM scored 94.25% on Chinese and 90.20% on English LongText-Bench.
AtomicChat published abliterated GGUF weights of the Qwen-Image 2.1 Turbo text encoder, sharply cutting chat refusals.
Qwen released Qwen-Image-2.1-Turbo, an eight-step accelerated 7B text-to-image checkpoint.
UltraText Bench scores dense bilingual text rendering across 432 prompts and 24 image models.
Iris-3B shows 3B pixel-space pretraining can match latent image models, without better downstream detail.
UniEvo-VL self-distills multimodal models from their own critiques, raising Qwen-Image GenEval scores.
Community LoRA QI_2.1_AnyAngle transfers arbitrary camera angles onto images with Qwen Image 2.1 while preserving style.
Viggle releases a six-step distilled LoRA of Qwen-Image-2.1 that runs about five times faster.

Alibaba’s Qwen team released Qwen-Image-2.1, a 7B open-weight model for image generation and editing.
Unsloth published GGUF quantized versions of Qwen-Image-2.1, Alibaba's 7B text-to-image and editing model, using Dynamic 2.0 per-layer precision.
Community GGUF, FP8, and BF16 builds of the Qwen-Image-2.1 text encoder are trending on Hugging Face.
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