Text-to-Image
Diffusers
Safetensors
English
Chinese
QwenImage21Pipeline
bitsandbytes
int8
image-generation
image-editing
rgba
8-bit precision
Instructions to use ixim/Image21-INT8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ixim/Image21-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-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
Download evaluation/initial/summary.json from ixim/Image21-INT8: direct link, hf CLI and curl.
- Browser
- Download file 352 Bytes
-
https://huggingface.co/ixim/Image21-INT8/resolve/main/evaluation/initial/summary.json
- Command line
-
hf download hf://ixim/Image21-INT8/evaluation/initial/summary.json
-
curl -L -o summary.json https://huggingface.co/ixim/Image21-INT8/resolve/main/evaluation/initial/summary.json
352 Bytes
| { | |
| "pairs": 14, | |
| "cases": 7, | |
| "bf16_mean_seconds": 26.79312295714291, | |
| "int8_mean_seconds": 20.288235278571424, | |
| "bf16_max_allocated_gib": 19.081242561340332, | |
| "int8_max_allocated_gib": 23.080156326293945, | |
| "width": 1024, | |
| "height": 1024, | |
| "steps": 40, | |
| "warmup": true, | |
| "bf16_weight_bytes": 33115613408, | |
| "int8_weight_bytes": 18631752920 | |
| } |