Instructions to use SWARAJ-42/ltx_2_3_attack_animation_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SWARAJ-42/ltx_2_3_attack_animation_lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SWARAJ-42/ltx_2_3_attack_animation_lora", 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

- Xet hash:
- 37351f3166adb4d02153b9e021e1543703c5ffe894c6e75bd19977cda13afd50
- Size of remote file:
- 548 kB
- SHA256:
- c209cb976ecd893351906d335811e9f996f159e2d55b3cc70bd8608799cea169
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