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
File size: 1,079 Bytes
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"method": "sdnq",
"weights_dtype": "uint4",
"use_svd": true,
"svd_rank": 32,
"use_quantized_matmul": false,
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