Image-to-Image
Diffusers
Safetensors
QwenImage21Pipeline
qwen21
sdnq
4-bit precision
8-bit precision
import torch
from diffusers import DiffusionPipeline
from diffusers.utils import load_image
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("SamuelTallet/Qwen-Image-2.1-SDNQ-4bit-dynamic-hadamard256", dtype=torch.bfloat16, device_map="cuda")
prompt = "Turn this cat into a dog"
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(image=input_image, prompt=prompt).images[0]This is Qwen-Image-2.1 optimized using SDNQ with UINT4 dynamic quantization and Hadamard Rotation (Group size: 256).
Sample
Prompt:
This is an RGBA image with transparency. A cute cartoon dragon sticker. The image has alpha channel and the background is transparent.
Seed: 42
Usage
Install Torch, Diffusers (Git), SDNQ 0.2.0+ and Triton.
40 steps.
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Model tree for SamuelTallet/Qwen-Image-2.1-SDNQ-4bit-dynamic-hadamard256
Base model
Qwen/Qwen-Image-2.1