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EnclaveHost/qwen-image-2512-sd
qwen-image-2512-sd is a text-to-image model from EnclaveHost. Use it when you need an image from a text prompt. The card lists the license as apache-2.0.
Component-layout volume for enclave.host image generation: the Qwen-Image-2512 transformer with the lightx2v Lightning 8-step distillation LoRA merged into the weights, quantized to Q80 by the same stable-diffusion.cp…
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.gguf29.8 GB · 99%
From the Hugging Face model README
Component-layout volume for enclave.host image
generation: the Qwen-Image-2512 transformer with the lightx2v Lightning
8-step distillation LoRA merged into the weights, quantized to Q8_0 by
the same stable-diffusion.cpp revision the fleet serves with. Generates
in 8 steps at cfg 1.0.
| file | what | sha256 |
|---|---|---|
diffusion.gguf (20.2 GiB) | Qwen-Image-2512 MMDiT + Lightning 8-step merge, Q8_0 | 86aafc37f65dfb4da7be8436ff6a3d91b12203ab9b855448d3d452398fb99ff2 |
llm.gguf (7.5 GiB) | Qwen2.5-VL-7B-Instruct text encoder, Q8_0 | ee770c700d7429cc6f0c74d6c7ab3c063bf521312fc36e80776d1d79bc9fa4ad |
vae.safetensors (242 MiB) | Qwen-Image 16-ch VAE | a70580f0213e67967ee9c95f05bb400e8fb08307e017a924bf3441223e023d1f |
Every input pinned by revision; reproduction is
tools/merge-lightning.sh in the
image-generator app repo (streaming bf16 LoRA merge,
then sd-cli -M convert --type q8_0):
@25468b98e3276ca6700de15c6628e51b7de54a26 (bf16 shards)@a52649c9d0f6e1a248bff13f0df33bb8a2abdb52, Qwen-Image-2512-Lightning-8steps-V1.0-bf16.safetensors (720 rank-64 targets, alpha-scaled)@68bb8bc4b7df5289c143aaec0ab477a7d4051aab, Qwen2.5-VL-7B-Instruct-Q8_0.gguf (unmodified)@46839d338df81ce625d5fae27d7e370314c0fbc9, split_files/vae/qwen_image_vae.safetensors (unmodified)@b5d812008eb7082a238fc589444544b3278187ae — the fleet's pinned serving revisionSmoke-tested at that same revision: 8 steps, cfg 1.0, 512×512, seed 7, euler — coherent output verified visually before upload.
sd-cli --diffusion-model diffusion.gguf --llm llm.gguf --vae vae.safetensors \
-p "a red fox in snow, studio lighting" --cfg-scale 1.0 --steps 8 -W 1024 -H 1024
~34 GB peak VRAM at 1024px with tiled VAE decode. Component filenames are
generic on purpose: Enclave's ENCLAVE_SD_*_FILE envs are node-global, so
every SD volume on a node shares the same relative names.