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: 364 Bytes
9116984 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"pairs": 14,
"cases": 7,
"bf16_mean_seconds": 26.97865971428629,
"int4_mean_seconds": 29.403332799999458,
"bf16_max_allocated_gib": 19.081242561340332,
"int4_max_allocated_gib": 9.985671043395996,
"width": 1024,
"height": 1024,
"steps": 40,
"warmup": true,
"bf16_weight_bytes": 33115613408,
"int4_weight_bytes": 13440890992
} |