---

license: apache-2.0 language:

• en

base_model:

• Qwen/Qwen-Image

pipeline_tag: text-to-image library_name: diffusers widget:

• text: >-

cute anime girl with massive fennec ears and a big fluffy fox tail with long wavy blonde hair between eyes and large blue eyes blonde colored eyelashes chubby wearing oversized clothes summer uniform long blue maxi skirt muddy clothes happy sitting on the side of the road in a run down dark gritty cyberpunk city with neon and a crumbling skyscraper in the rain at night while dipping her feet in a river of water she is holding a sign that says "ComfyUI is the best" written in cursive output: url: workflow-demo1.png

• text: >-

cute anime girl with massive fennec ears and a big fluffy fox tail with long wavy blonde hair between eyes and large blue eyes blonde colored eyelashes chubby wearing oversized clothes summer uniform long blue maxi skirt muddy clothes happy sitting on the side of the road in a run down dark gritty cyberpunk city with neon and a crumbling skyscraper in the rain at night while dipping her feet in a river of water she is holding a sign that says "PIG is the best" written in cursive output: url: workflow-demo2.png

• text: >-

cute anime girl with massive fennec ears and a big fluffy fox tail with long wavy blonde hair between eyes and large blue eyes blonde colored eyelashes chubby wearing oversized clothes summer uniform long blue maxi skirt muddy clothes happy sitting on the side of the road in a run down dark gritty cyberpunk city with neon and a crumbling skyscraper in the rain at night while dipping her feet in a river of water she is holding a sign that says "1+1=2 is it correct?" written in cursive output: url: workflow-demo3.png tags:

• gguf-node
• gguf-connector

---

gguf quantized version of qwen-image

• run it straight with gguf-connector

ggc q5

> >GGUF file(s) available. Select which one to use: > >1. qwen-image-iq2_s.gguf >2. qwen-image-iq4_nl.gguf >3. qwen-image-q4_0.gguf >4. qwen-image-q8_0.gguf > >Enter your choice (1 to 4): _ >

run it with gguf-node via comfyui

• drag qwen-image to > ./ComfyUI/models/diffusionmodels
• drag qwen2.5-vl-7b [4.43GB] to > ./ComfyUI/models/textencoders
• drag pig [254MB] to > ./ComfyUI/models/vae

!screenshot

tip: the text encoder used for this model is qwen2.5-vl-7b; get more encoder either here (pig quant) or here (llama.cpp quant); the size is different from the one (qwen2.5-vl-3b) used in omnigen2

run it with diffusers

import torch
from diffusers import DiffusionPipeline, GGUFQuantizationConfig, QwenImageTransformer2DModel

modelpath = "https://huggingface.co/calcuis/qwen-image-gguf/blob/main/qwen-image-q2k.gguf"
transformer = QwenImageTransformer2DModel.fromsinglefile(
    model_path,
    quantizationconfig=GGUFQuantizationConfig(computedtype=torch.bfloat16),
    torch_dtype=torch.bfloat16,
    config="callgg/qi-decoder",
    subfolder="transformer"
)
pipe = DiffusionPipeline.from_pretrained(
    "callgg/qi-decoder",
    transformer=transformer,
    torch_dtype=torch.bfloat16,
)
pipe.enablemodelcpu_offload()

prompt = "a pig holding a sign that says hello world"
positive_magic = {"en": "Ultra HD, 4K, cinematic composition."}
negative_prompt = " "
image = pipe(
    prompt=prompt + positive_magic["en"],
    negativeprompt=negativeprompt,
    height=1024,
    width=1024,
    numinferencesteps=24,
    truecfgscale=2.5,
    generator=torch.Generator()
).images[0]
image.save("output.png")

note: diffusers not yet supported t and i quants; opt gguf-node via comfyui or run it straight with gguf-connector

reference

• base model from qwen
• distilled model from modelscope
• lite model is a lora merge from lightx2v
• comfyui from comfyanonymous
• diffusers from huggingface
• gguf-node (pypi|repo|pack)
• gguf-connector (pypi)