Instructions to use Lightricks/LTX-Video-0.9.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lightricks/LTX-Video-0.9.1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lightricks/LTX-Video-0.9.1", 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
Create README.md
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by rdwan1378 - opened
README.md
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---
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license: apache-2.0
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datasets:
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- Congliu/Chinese-DeepSeek-R1-Distill-data-110k
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language:
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- id
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metrics:
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- accuracy
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base_model:
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- Qwen/QwQ-32B
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new_version: Qwen/QwQ-32B
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pipeline_tag: text-classification
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library_name: adapter-transformers
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tags:
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- finance
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---
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