Image-to-Image
PEFT
Safetensors
Chinese
English
moss-image
rgba
transparent-background
vae
lora
mage
Instructions to use leafmoone/Mage-Flow-RGBA-vae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use leafmoone/Mage-Flow-RGBA-vae with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download NOTICE from leafmoone/Mage-Flow-RGBA-vae: direct link, hf CLI and curl.
- Browser
- Download file 521 Bytes
-
https://huggingface.co/leafmoone/Mage-Flow-RGBA-vae/resolve/main/NOTICE
- Command line
-
hf download hf://leafmoone/Mage-Flow-RGBA-vae/NOTICE
-
curl -L -o NOTICE https://huggingface.co/leafmoone/Mage-Flow-RGBA-vae/resolve/main/NOTICE
521 Bytes
| MOSS RGBA - step 14000 continuation | |
| This release adapts the Mage RGBA VAE layers used by CKMoss-Image-RGBA. | |
| Upstream: | |
| - MOSS-Image (c) OpenMOSS Team, https://github.com/OpenMOSS/MOSS-Image, Apache-2.0 | |
| - Mage (c) Microsoft, https://github.com/microsoft/Mage, MIT (vendor/MAGE_LICENSE) | |
| - Model code structure follows CKMoss-Image-RGBA (GPLv3), https://github.com/Chenkin-x/CKMoss-Image-RGBA | |
| The released adapter/merged weights are distributed under GPLv3. Upstream | |
| attribution and license terms are retained. | |