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 evaluation/int4/portrait-s123.png from ixim/Image21-INT4: direct link, hf CLI and curl.
- Browser
- Download file 1.97 MB
-
https://huggingface.co/ixim/Image21-INT4/resolve/main/evaluation/int4/portrait-s123.png
- Command line
-
hf download hf://ixim/Image21-INT4/evaluation/int4/portrait-s123.png
-
curl -L -o portrait-s123.png https://huggingface.co/ixim/Image21-INT4/resolve/main/evaluation/int4/portrait-s123.png
1.97 MB

- Xet hash:
- 32c018a1bb389c8286fc7edd11d395cb52fd48bcca474632a70198243014d38f
- Size of remote file:
- 1.97 MB
- SHA256:
- 0f3b5e3c9c2464d3f2567c8f6e9040494de1fdf06042fcb0696df58b8f58e047
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