Instructions to use baa-ai/LTX-2.3-22B-RAM-12GB-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use baa-ai/LTX-2.3-22B-RAM-12GB-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir LTX-2.3-22B-RAM-12GB-MLX baa-ai/LTX-2.3-22B-RAM-12GB-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
Upload vae_encoder.safetensors with huggingface_hub
Browse files- vae_encoder.safetensors +3 -0
vae_encoder.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1512f5ef8387901db0baecb328690676e2667ddf2b63e28f8e6645188c1a8c06
|
| 3 |
+
size 637885319
|