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/hardware.json from ixim/Image21-INT8: direct link, hf CLI and curl.
- Browser
- Download file 340 Bytes
-
https://huggingface.co/ixim/Image21-INT8/resolve/main/evaluation/initial/hardware.json
- Command line
-
hf download hf://ixim/Image21-INT8/evaluation/initial/hardware.json
-
curl -L -o hardware.json https://huggingface.co/ixim/Image21-INT8/resolve/main/evaluation/initial/hardware.json
340 Bytes
| { | |
| "gpu_driver_memory": "NVIDIA GeForce RTX 5090, 616.92, 32607", | |
| "system_ram_bytes": 274298757120, | |
| "platform": "Windows-11-10.0.26200-SP0", | |
| "benchmark_order": [ | |
| "bf16", | |
| "int8" | |
| ], | |
| "notes": "Windows WDDM desktop GPU; one sequential suite per precision, two seeds per case; no multi-run statistical confidence intervals." | |
| } |