Instructions to use Rin247/LTX-2.5-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rin247/LTX-2.5-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Rin247/LTX-2.5-Diffusers", 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
Delete transformer_full/config.json with huggingface_hub
Browse files- transformer_full/config.json +0 -54
transformer_full/config.json
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{
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"_class_name": "LTX2VideoTransformer3DModel",
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"_diffusers_version": "0.40.0.dev0",
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"activation_fn": "gelu-approximate",
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"attention_bias": true,
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"attention_head_dim": 128,
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"attention_out_bias": true,
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"audio_attention_head_dim": 64,
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"audio_cross_attention_dim": 2048,
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"audio_cross_attn_mod": true,
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"audio_ff_bias": true,
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"audio_gated_attn": true,
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"audio_hop_length": 160,
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"audio_in_channels": 128,
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"audio_num_attention_heads": 32,
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"audio_out_channels": 128,
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"audio_patch_size": 1,
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"audio_patch_size_t": 1,
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"audio_pos_embed_max_pos": 20,
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"audio_sampling_rate": 16000,
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"audio_scale_factor": 4,
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"base_height": 2048,
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"base_width": 2048,
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"caption_channels": 3840,
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"causal_offset": 1,
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"cross_attention_dim": 4096,
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"cross_attn_mod": true,
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"cross_attn_timestep_scale_multiplier": 1000,
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"ff_bias": false,
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"gated_attn": true,
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"in_channels": 128,
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"norm_elementwise_affine": false,
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"norm_eps": 1e-06,
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"num_attention_heads": 32,
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"num_layers": 48,
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"out_channels": 128,
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"patch_size": 1,
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"patch_size_t": 1,
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"perturbed_attn": true,
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"pos_embed_max_pos": 20,
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"qk_norm": "rms_norm_across_heads",
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"rope_double_precision": true,
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"rope_theta": 10000.0,
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"rope_type": "split",
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"timestep_scale_multiplier": 1000,
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"use_keyframes_abs_pos_embedding": true,
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"use_prompt_adaln_single": true,
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"use_prompt_embeddings": false,
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"vae_scale_factors": [
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8,
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32,
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32
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]
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}
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