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: 386 Bytes
a5e8975 | 1 2 3 4 5 6 7 8 | {
"diffusers_commit": "da1d3829cf08d4f329b526d89e17cc035c049d8d",
"pull_request": 14950,
"archive_url": "https://codeload.github.com/huggingface/diffusers/zip/da1d3829cf08d4f329b526d89e17cc035c049d8d",
"archive_sha256": "9ad8a87a442cdfaec0ee4b49e57783397f85dba249a8d7497a2f55baaf8b48f6",
"pipeline_sha256": "e75e4ce38d38e194edaac818bba99b2115b4bb2bfdbd15ce03a2813b0fe8856c"
}
|