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: 523 Bytes
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{
"suite": "core",
"precision": "bf16",
"returncode": 0,
"log": "artifacts/turbo/evaluate-core-bf16.log"
},
{
"suite": "core",
"precision": "int8",
"returncode": 0,
"log": "artifacts/turbo/evaluate-core-int8.log"
},
{
"suite": "native",
"precision": "bf16",
"returncode": 0,
"log": "artifacts/turbo/evaluate-native-bf16.log"
},
{
"suite": "native",
"precision": "int8",
"returncode": 0,
"log": "artifacts/turbo/evaluate-native-int8.log"
}
]
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