Instructions to use kabachuha/ltx2-eat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kabachuha/ltx2-eat 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.load_lora_weights("kabachuha/ltx2-eat") prompt = "Vivid colors. The video begins with a cartoon girl blowing a chewing gum balloon. Then a gigantic anime girl hand seizes the cartoon girl from below and tosses her into a gigantic mouth, which appeared to the right. The camera zooms out, showing the new anime girl chewing and fully swallowing the cartoon girl. Wet slurping sounds." input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png") image = pipe(image=input_image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Add 7 files
Browse files- images/comfy.webp +3 -0
- images/elephant.webp +3 -0
- images/endless.webp +3 -0
- images/rabbit.webp +3 -0
- images/tank.webp +3 -0
- images/two.webp +3 -0
- ltx2-eat-v2.safetensors +3 -0
images/comfy.webp
ADDED
|
Git LFS Details
|
images/elephant.webp
ADDED
|
Git LFS Details
|
images/endless.webp
ADDED
|
Git LFS Details
|
images/rabbit.webp
ADDED
|
Git LFS Details
|
images/tank.webp
ADDED
|
Git LFS Details
|
images/two.webp
ADDED
|
Git LFS Details
|
ltx2-eat-v2.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0b1d8e28a03492c2986331c0bee94ebc2a54b41891c85ca772600692ee973185
|
| 3 |
+
size 1107812184
|