Text-to-Image
Diffusers
Safetensors
English
Chinese
QwenImageLayeredPipeline
image-generation
layered
qwen-image
sdnq
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("OzzyGT/Qwen_Image_Layered_sdnq_dynamic_4bit", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Qwen Image Layered SDNQ Dynamic INT4
This is an int4 quantized version of Qwen/Qwen-Image-Layered using SDNQ (SD.Next Quantization) with the dynamic option and Hadamard Rotation.
Note: You need SDNQ v0.2.0 or superior
Usage
You can find ready-to-use scripts in the diffusers-recipes repository.
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