Image-to-Video
Diffusers
Safetensors
text-to-video
video-to-video
image-text-to-video
audio-to-video
text-to-audio
video-to-audio
audio-to-audio
text-to-audio-video
image-to-audio-video
image-text-to-audio-video
ltx-2
ltx-video
ltxv
lightricks
Instructions to use Lightricks/LTX-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lightricks/LTX-2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lightricks/LTX-2", dtype=torch.bfloat16, device_map="cuda") pipe.to("cuda") prompt = "A man with short gray hair plays a red electric guitar." image = load_image( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png" ) output = pipe(image=image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Inference
- Notebooks
- Google Colab
- Kaggle
Add audio VAE encoder to checkpoint
Browse files
audio_vae/config.json
CHANGED
|
@@ -9,6 +9,7 @@
|
|
| 9 |
2,
|
| 10 |
4
|
| 11 |
],
|
|
|
|
| 12 |
"dropout": 0.0,
|
| 13 |
"in_channels": 2,
|
| 14 |
"is_causal": true,
|
|
|
|
| 9 |
2,
|
| 10 |
4
|
| 11 |
],
|
| 12 |
+
"double_z": true,
|
| 13 |
"dropout": 0.0,
|
| 14 |
"in_channels": 2,
|
| 15 |
"is_causal": true,
|
audio_vae/diffusion_pytorch_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b36ce4066065ce0aa5ff4d7cf96a3e3bc0859c6fefcf864663e3fe686c5c181c
|
| 3 |
+
size 106507972
|