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/report.md from ixim/Image21-INT8: direct link, hf CLI and curl.
- Browser
- Download file 2.14 kB
-
https://huggingface.co/ixim/Image21-INT8/resolve/main/evaluation/initial/report.md
- Command line
-
hf download hf://ixim/Image21-INT8/evaluation/initial/report.md
-
curl -L -o report.md https://huggingface.co/ixim/Image21-INT8/resolve/main/evaluation/initial/report.md
2.14 kB
BF16 / INT8 comparison
Additional adult Chinese woman portrait pairs are reported separately: supplement.
14 paired outputs on NVIDIA GeForce RTX 5090; 1024×1024, 40 steps, offload=model, CFG=1, KV cache enabled.
Warmup excluded. Pixel metrics measure drift, not semantic quality. The same BF16 portrait is used as input for every editing pair. The suite is small and does not establish a general quality ranking.
| Case | Seed | BF16 s | INT8 s | BF16 peak GiB | INT8 peak GiB | RGB MAE (white) |
|---|---|---|---|---|---|---|
| portrait | 42 | 29.77 | 19.65 | 16.40 | 22.86 | 0.0134 |
| portrait | 123 | 26.55 | 19.61 | 16.40 | 22.86 | 0.0163 |
| english_text | 42 | 25.95 | 19.42 | 16.41 | 22.86 | 0.0263 |
| english_text | 123 | 25.88 | 19.40 | 16.41 | 22.86 | 0.0118 |
| chinese_text | 42 | 25.47 | 19.54 | 16.41 | 22.86 | 0.0597 |
| chinese_text | 123 | 25.85 | 19.86 | 16.41 | 22.86 | 0.0246 |
| composition | 42 | 25.38 | 19.13 | 16.41 | 22.86 | 0.0227 |
| composition | 123 | 25.35 | 19.30 | 16.41 | 22.86 | 0.0196 |
| texture | 42 | 25.85 | 19.22 | 16.40 | 22.86 | 0.0698 |
| texture | 123 | 25.76 | 19.57 | 16.40 | 22.86 | 0.0168 |
| rgba | 42 | 26.04 | 19.39 | 16.40 | 22.86 | 0.0183 |
| rgba | 123 | 25.07 | 19.29 | 16.40 | 22.86 | 0.0465 |
| edit | 42 | 31.16 | 25.40 | 19.08 | 23.08 | 0.0097 |
| edit | 123 | 31.03 | 25.24 | 19.08 | 23.08 | 0.0039 |
Summary
Mean latency: BF16 26.79s; INT8 20.29s.
Interactive-sized side-by-side gallery. Raw data: comparison.csv, bf16/records.jsonl, int8/records.jsonl. Environment records include package versions and loading overhead.
Interpretation limits
- No CLIP, OCR, human preference, FID or benchmark leaderboard score is claimed.
- Peak CUDA allocated/reserved memory excludes other processes and display usage.
- Measured call latency includes transfers; disk writing and model loading are excluded.
- Paired images may diverge with quantization even when both remain plausible.
- Editing and transparency should be inspected in the gallery, including preserved details.