Instructions to use TensorStack/Components with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TensorStack/Components with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TensorStack/Components", 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 2 files
Browse files
LTX23_AudioVae/config.json
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{
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"_class_name": "AutoencoderKLLTX2Audio",
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"_diffusers_version": "0.37.0.dev0",
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"attn_resolutions": null,
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"base_channels": 128,
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"causality_axis": "height",
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"ch_mult": [
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],
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"double_z": true,
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"dropout": 0.0,
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"in_channels": 2,
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"is_causal": true,
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"latent_channels": 8,
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"mel_bins": 64,
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"mel_hop_length": 160,
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"mid_block_add_attention": false,
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"norm_type": "pixel",
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"num_res_blocks": 2,
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"output_channels": 2,
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"resolution": 256,
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"sample_rate": 16000
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}
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{
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"_class_name": "AutoencoderKLLTX2Audio",
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"_diffusers_version": "0.37.0.dev0",
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"attn_resolutions": null,
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"base_channels": 128,
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"causality_axis": "height",
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"ch_mult": [
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"double_z": true,
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"dropout": 0.0,
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"in_channels": 2,
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"is_causal": true,
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"latent_channels": 8,
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"mel_bins": 64,
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"mel_hop_length": 160,
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"mid_block_add_attention": false,
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"norm_type": "pixel",
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"num_res_blocks": 2,
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"output_channels": 2,
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"resolution": 256,
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"sample_rate": 16000
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}
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LTX23_AudioVae/diffusion_pytorch_model.safetensors
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