Instructions to use hf-internal-testing/tiny-LTX2Pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-LTX2Pipeline with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-LTX2Pipeline", 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
File size: 1,301 Bytes
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"_class_name": "LTX2VideoTransformer3DModel",
"_diffusers_version": "0.39.0.dev0",
"activation_fn": "gelu-approximate",
"attention_bias": true,
"attention_head_dim": 8,
"attention_out_bias": true,
"audio_attention_head_dim": 4,
"audio_cross_attention_dim": 8,
"audio_cross_attn_mod": false,
"audio_gated_attn": false,
"audio_hop_length": 160,
"audio_in_channels": 4,
"audio_num_attention_heads": 2,
"audio_out_channels": 4,
"audio_patch_size": 1,
"audio_patch_size_t": 1,
"audio_pos_embed_max_pos": 20,
"audio_sampling_rate": 16000,
"audio_scale_factor": 4,
"base_height": 2048,
"base_width": 2048,
"caption_channels": 32,
"causal_offset": 1,
"cross_attention_dim": 16,
"cross_attn_mod": false,
"cross_attn_timestep_scale_multiplier": 1000,
"gated_attn": false,
"in_channels": 4,
"norm_elementwise_affine": false,
"norm_eps": 1e-06,
"num_attention_heads": 2,
"num_layers": 2,
"out_channels": 4,
"patch_size": 1,
"patch_size_t": 1,
"perturbed_attn": false,
"pos_embed_max_pos": 20,
"qk_norm": "rms_norm_across_heads",
"rope_double_precision": false,
"rope_theta": 10000.0,
"rope_type": "split",
"timestep_scale_multiplier": 1000,
"use_prompt_embeddings": true,
"vae_scale_factors": [
8,
32,
32
]
}
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