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 CHANGES.md from ixim/Image21-INT8: direct link, hf CLI and curl.
- Browser
- Download file 1.18 kB
-
https://huggingface.co/ixim/Image21-INT8/resolve/main/CHANGES.md
- Command line
-
hf download hf://ixim/Image21-INT8/CHANGES.md
-
curl -L -o CHANGES.md https://huggingface.co/ixim/Image21-INT8/resolve/main/CHANGES.md
1.18 kB
Modifications
Modified by ixim / iximbox: eligible linear weights converted from Qwen-Image-2.1 to bitsandbytes LLM.int8 INT8. Built with Qwen. Non-commercial research/evaluation under the accompanying Qwen Research License.
- Converted eligible transformer and text encoder linear layers to LLM.int8, threshold 6.0.
- Retained sensitive projections, normalization, embeddings, vision model and VAE in floating point.
- Re-serialized component weights, shard indexes and configs; no fine-tuning.
- Weight-file headers and modified JSON files contain modification notices.
- Exact quantized module names and dtype counts are in the component reports.
Runtime and evaluation correction, 2026-09-21
- Added an instance-local bitsandbytes auxiliary-tensor offload workaround and sequential component loading in scripts/runtime.py.
- Re-ran the paired evaluation in isolated processes with startup, loading and per-image memory records.
- Preserved the initial evaluation and failed 1024px editing outputs; added controlled editing diagnostics and a paired 2048px retest with VAE tiling.
- Model weights, quantization configuration and inference-file fingerprints are unchanged.