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
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Download evaluation/initial/qualitative.md from ixim/Image21-INT8: direct link, hf CLI and curl.
- Browser
- Download file 2.37 kB
-
https://huggingface.co/ixim/Image21-INT8/resolve/main/evaluation/initial/qualitative.md
- Command line
-
hf download hf://ixim/Image21-INT8/evaluation/initial/qualitative.md
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curl -L -o qualitative.md https://huggingface.co/ixim/Image21-INT8/resolve/main/evaluation/initial/qualitative.md
2.37 kB
| # Qualitative inspection / 定性检查 | |
| Agent visual inspection of the seed-42 pairs; not a blinded human preference study, | |
| OCR benchmark, or quantitative semantic score. All seed-123 outputs remain available | |
| in the gallery for independent review. | |
| | Case | Observed BF16 / INT8 behavior | | |
| |---|---| | |
| | Portrait | Both preserve the requested older woman, blue sweater and window composition. Face shape, wrinkles, framing and fabric details shift slightly. Neither is pixel-identical. | | |
| | English lettering | Both visibly render “CREATE WITH LIGHT” and “September 2026”. Layout and desk objects differ. | | |
| | Chinese lettering | Both visibly render the requested main title and subtitle. Both also add unwanted, partly nonsensical footer text despite the instruction to add no other text. | | |
| | Counting / arrangement | Both show three cups in red/blue/yellow order with one green apple in front of the blue cup. Object scales and spacing differ. | | |
| | Texture | Both depict a plausible blue/orange kingfisher. Head angle, branch orientation and feather texture differ noticeably. Low pixel similarity here is not by itself evidence of poor semantic quality. | | |
| | RGBA | Both produce a green/orange dragon sticker and a real varying alpha channel. Sampled background pixels have alpha 0–1/255; the subject is opaque. Invisible RGB background colors should not be mistaken for an opaque background. Both have a white sticker outline. | | |
| | Editing | Both recolor the sweater toward a red/burgundy tone, but produce conspicuous oversharpening and contrast/texture changes across the portrait and background. Faithful preservation of lighting and skin texture is not achieved in this test. | | |
| **Editing limitation:** The artifact is reproducible in both precisions under this | |
| specific pinned runtime and test setup. This comparison does not identify its root | |
| cause and does not attribute it specifically to INT8. Do not treat successful pipeline | |
| execution as validation of editing fidelity. | |
| 中文要点:文生图整体语义在所检查样例中保留,但画面细节会变化。中英文主标题可读; | |
| 中文海报的多余页脚在两种精度中均存在。编辑任务在两组都出现明显过度锐化及对比度变化, | |
| 不能宣称“编辑无损”或“质量完全一致”。这些观察只针对所列样例,不代表通用榜单结论。 | |