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/editing-v2/audit/decoder-summary.json from ixim/Image21-INT8: direct link, hf CLI and curl.
- Browser
- Download file 2.64 kB
-
https://huggingface.co/ixim/Image21-INT8/resolve/main/evaluation/editing-v2/audit/decoder-summary.json
- Command line
-
hf download hf://ixim/Image21-INT8/evaluation/editing-v2/audit/decoder-summary.json
-
curl -L -o decoder-summary.json https://huggingface.co/ixim/Image21-INT8/resolve/main/evaluation/editing-v2/audit/decoder-summary.json
2.64 kB
| { | |
| "decode-bf16-full": { | |
| "dtype": "bf16", | |
| "tiling": false, | |
| "seconds": 29.58638380000002, | |
| "latents_sha256": "19746d2cebd5ebb888e1df24d7c2c07631fbb91fcf6f6650225caa6e84cb2246", | |
| "image_sha256": "a32e5d14545ea684005e1373a0308330682d15a6159a0db7020b74cafc1cb610", | |
| "vae_source_sha256": "afb341db5e9d081e568ae4703119d1141d124aaf2fa9c061b3d4eb80ce73c15b", | |
| "vae_weights": [ | |
| { | |
| "path": "diffusion_pytorch_model.safetensors", | |
| "sha256": "a07a1b7c4ee2966a1b3bdc37de9b4f983d56937e46619f709a80b6e490675417" | |
| } | |
| ], | |
| "image_mode": "RGBA", | |
| "actual_size": [ | |
| 2048, | |
| 2048 | |
| ], | |
| "alpha_min": 248, | |
| "alpha_max": 255, | |
| "alpha_transparent_fraction": 0.0, | |
| "alpha_opaque_fraction": 0.9999995231628418, | |
| "alpha_soft_fraction": 4.76837158203125e-07, | |
| "alpha_thresholds": [ | |
| 5, | |
| 250 | |
| ], | |
| "rgb_dx_mean": 0.020006714388728142, | |
| "rgb_dy_mean": 0.019580036401748657, | |
| "vs_bf16_tiled": { | |
| "rgb_mae_white": 0.007886896841228008, | |
| "rgb_psnr_white_db": 33.39505014952212, | |
| "alpha_mae": 0.00024037367256823927 | |
| } | |
| }, | |
| "decode-fp32-tiled": { | |
| "dtype": "fp32", | |
| "tiling": true, | |
| "seconds": 18.333071200000177, | |
| "latents_sha256": "19746d2cebd5ebb888e1df24d7c2c07631fbb91fcf6f6650225caa6e84cb2246", | |
| "image_sha256": "be79dfd73714a8be00e812af65d81aee0269a883be2fe895ec46a1a487e968a2", | |
| "vae_source_sha256": "afb341db5e9d081e568ae4703119d1141d124aaf2fa9c061b3d4eb80ce73c15b", | |
| "vae_weights": [ | |
| { | |
| "path": "diffusion_pytorch_model.safetensors", | |
| "sha256": "a07a1b7c4ee2966a1b3bdc37de9b4f983d56937e46619f709a80b6e490675417" | |
| } | |
| ], | |
| "image_mode": "RGBA", | |
| "actual_size": [ | |
| 2048, | |
| 2048 | |
| ], | |
| "alpha_min": 194, | |
| "alpha_max": 255, | |
| "alpha_transparent_fraction": 0.0, | |
| "alpha_opaque_fraction": 0.998399019241333, | |
| "alpha_soft_fraction": 0.0016009807586669922, | |
| "alpha_thresholds": [ | |
| 5, | |
| 250 | |
| ], | |
| "rgb_dx_mean": 0.018331428989768028, | |
| "rgb_dy_mean": 0.018168220296502113, | |
| "vs_bf16_tiled": { | |
| "rgb_mae_white": 0.0013088202103972435, | |
| "rgb_psnr_white_db": 51.63176635617525, | |
| "alpha_mae": 8.16673637018539e-05 | |
| } | |
| }, | |
| "bf16_tiled": { | |
| "image_sha256": "177fc897274faa4846659ec273d8ae39453d67526dc91d2bcc71407ce4ccd9da", | |
| "repeat_png_identical": true, | |
| "vae_weights": [ | |
| { | |
| "path": "diffusion_pytorch_model.safetensors", | |
| "sha256": "a07a1b7c4ee2966a1b3bdc37de9b4f983d56937e46619f709a80b6e490675417" | |
| } | |
| ] | |
| } | |
| } |