Instructions to use fal/LTX-2.3-FlashPack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fal/LTX-2.3-FlashPack with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fal/LTX-2.3-FlashPack", 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
Upload LTX2Pipeline
Browse files
embeddings_processor/config.json
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"audio_attention_head_dim": 64,
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"audio_double_precision_rope": true,
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"audio_num_attention_heads": 32,
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"audio_num_layers":
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"audio_positional_embedding_max_pos": [
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4096
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],
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"audio_attention_head_dim": 64,
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"audio_double_precision_rope": true,
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"audio_num_attention_heads": 32,
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"audio_num_layers": 8,
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"audio_positional_embedding_max_pos": [
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4096
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],
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transformer/.config.json.swp
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Binary file (12.3 kB). View file
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