Text-to-Image
Diffusers
Safetensors
English
Chinese
QwenImage21Pipeline
sdnq
int4
uint4
image-generation
image-editing
apple-silicon
8-bit precision
Instructions to use ixim/Image21-INT4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ixim/Image21-INT4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ixim/Image21-INT4", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download Notice from ixim/Image21-INT4: direct link, hf CLI and curl.
- Browser
- Download file 540 Bytes
-
https://huggingface.co/ixim/Image21-INT4/resolve/9116984e195059685457c97a94f01c45fc532fdf/Notice
- Command line
-
hf download hf://ixim/Image21-INT4@9116984e195059685457c97a94f01c45fc532fdf/Notice
-
curl -L -o Notice https://huggingface.co/ixim/Image21-INT4/resolve/9116984e195059685457c97a94f01c45fc532fdf/Notice
540 Bytes
| Qwen is licensed under the Qwen RESEARCH LICENSE AGREEMENT, Copyright (c) 2026 Hangzhou Tongyi Laboratory Technology Co., Ltd. All Rights Reserved. | |
| Built with Qwen | |
| Independent derivative: Image21-INT4, by ixim / iximbox. | |
| Modified files: transformer and text_encoder weight shards, shard indexes and config.json files. Eligible linear weights converted to SDNQ UINT4 with SVD rank 32; floating-point exceptions are documented in component quantization reports. | |
| VAE, scheduler and processor retained from the pinned upstream snapshot. | |