MicksHF/Qwen-Image-2.1-Anime-Fusal

image-to-image model by MicksHF

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[](https://huggingface.co/spaces/MicksHF/Qwen-Image-2.1-Anime-Fusal-Playground) [](#example-prompt-and-inference-parameters) View this image’s prompt and inference parameters ↓ Built with Qwen. For adults and research use only. This repository publishes two separate FUSAL Anime LoRA families for two different base checkpoints. Choose the adapter that matches your base model; they are not interchangeable. Do not load the original-Base LoRA on Turbo, and do not load the Turbo LoRA on the original Base. Do not stack the two LoRAs. This is the only published original-Base adapter. The matching BF16 Heretic text encoder is included, because training cached prompt and reference embeddings with that encoder. The linked public Playground, existing comparison images, and original-Base examples below refer to the original Base LoRA, not the Turbo preview. The comparisons below use the same prompts, seeds, and inference settings; only the LoRA strength changes from 0.0 (official Base) to 1.0 (FUSAL Anime). Comparison settings (all four pairs): Original R80 V2, 2400 ×…

MicksHF/Qwen-Image-2.1-Anime-Fusal on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-11-14T09:40:59.782Z

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Model overview

MicksHF/Qwen-Image-2.1-Anime-Fusal is a image-to-image model repository published by MicksHF on Hugging Face. The source reports the diffusers library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task: image-to-image
Library: diffusers
Recent downloads (30 days): 3,040
Cumulative likes: 163
Hugging Face trending score: 53
Reported safetensors parameters: Not reported
Architecture: Not reported
License: other
Access: Not gated by Hugging Face
Created: 2026-10-09T08:13:54.000Z
Last modified: 2026-11-06T07:42:33.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: Qwen/Qwen-Image-2.1, Qwen/Qwen-Image-2.1-Turbo

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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