Text-to-Image
Diffusers
Safetensors
QwenImage21Pipeline
image-generation
image-editing
bitsandbytes
int8
qwen-image-2.1-turbo
8-bit precision
Instructions to use ixim/Image21-Turbo-INT8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ixim/Image21-Turbo-INT8 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-Turbo-INT8", 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: 349 Bytes
a5e8975 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"pairs": 4,
"cases": 2,
"bf16_mean_seconds": 61.42998574998637,
"int8_mean_seconds": 43.794717650001985,
"bf16_max_allocated_gib": 26.92584800720215,
"int8_max_allocated_gib": 26.925050735473633,
"width": 2048,
"height": 2048,
"steps": 8,
"warmup": true,
"bf16_weight_bytes": 32440133648,
"int8_weight_bytes": 18526523500
} |