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
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Download evaluation/native/report.md from ixim/Image21-Turbo-INT8: direct link, hf CLI and curl.
- Browser
- Download file 1.52 kB
-
https://huggingface.co/ixim/Image21-Turbo-INT8/resolve/main/evaluation/native/report.md
- Command line
-
hf download hf://ixim/Image21-Turbo-INT8/evaluation/native/report.md
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curl -L -o report.md https://huggingface.co/ixim/Image21-Turbo-INT8/resolve/main/evaluation/native/report.md
1.52 kB
| # Informal release evaluation: BF16 / INT8 comparison | |
| This community evaluation is provided for reference only and does not represent any official evaluation. | |
| 4 paired outputs on NVIDIA GeForce RTX 5090; 2048×2048, 8 steps, offload=model, CFG=1, KV cache enabled. | |
| Warmup excluded. Pixel metrics measure drift, not semantic quality. 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 | 45.85 | 33.40 | 26.89 | 26.89 | 0.0100 | | |
| | portrait | 123 | 46.31 | 32.99 | 26.89 | 26.89 | 0.0169 | | |
| | edit_boat | 20261009 | 87.84 | 52.01 | 26.93 | 26.93 | 0.0090 | | |
| | edit_boat | 20261010 | 65.72 | 56.79 | 26.93 | 26.93 | 0.0071 | | |
| ## Summary | |
| Mean latency: BF16 61.43s; INT8 43.79s. | |
| [Interactive-sized side-by-side gallery](comparison.html). Raw data: comparison.csv, bf16/records.jsonl, int8/records.jsonl. Environment records include package versions and loading overhead. | |
| [Qualitative observations](qualitative.md). | |
| ## 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. | |