Instructions to use saddam213/Components with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use saddam213/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("saddam213/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
Delete LTX20_Vocoder
Browse files
LTX20_Vocoder/config.json
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"_class_name": "LTX2Vocoder",
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"_diffusers_version": "0.37.0.dev0",
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"hidden_channels": 1024,
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"in_channels": 128,
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"leaky_relu_negative_slope": 0.1,
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"out_channels": 2,
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"output_sampling_rate": 24000,
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LTX20_Vocoder/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:15855fc59233b9cac50bdd1f0d2ccea4a5eaedbd7fd7549b16d5ebd6cc47d92a
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size 111204124
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