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
File size: 982 Bytes
ec8fa5b | 1 2 3 4 | {"label": "latent-2048", "exit_code": 0, "args": ["-m", "scripts.benchmark_edits_v2", "--model", "models/int8", "--inputs", "artifacts\\editing-audit-20260924\\suite\\inputs", "--output", "artifacts\\editing-audit-20260924\\latent-2048", "--case", "bird_background", "--seeds", "1000042", "--resolution", "2048", "--vae-tiling", "--save-latents", "--no-warmup"]}
{"label": "decode-bf16-full", "exit_code": 0, "args": ["-m", "scripts.audit_vae_decode", "--model", "models/bf16", "--latents", "artifacts\\editing-audit-20260924\\latent-2048\\bird_background-s1000042-decode.pt", "--output", "artifacts\\editing-audit-20260924\\decode-bf16-full", "--dtype", "bf16"]}
{"label": "decode-fp32-tiled", "exit_code": 0, "args": ["-m", "scripts.audit_vae_decode", "--model", "models/bf16", "--latents", "artifacts\\editing-audit-20260924\\latent-2048\\bird_background-s1000042-decode.pt", "--output", "artifacts\\editing-audit-20260924\\decode-fp32-tiled", "--dtype", "fp32", "--tiling"]}
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