Instructions to use akshan-main/tiny-ltx-modular-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use akshan-main/tiny-ltx-modular-pipe with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("akshan-main/tiny-ltx-modular-pipe", 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
Remove pachifier from modular_model_index (created from_config)
Browse files- modular_model_index.json +0 -14
modular_model_index.json
CHANGED
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@@ -71,19 +71,5 @@
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"revision": null,
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"variant": null
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}
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],
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"pachifier": [
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null,
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null,
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{
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"pretrained_model_name_or_path": "akshan-main/tiny-ltx-modular-pipe",
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"subfolder": "pachifier",
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"type_hint": [
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"diffusers",
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"LTXVideoPachifier"
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],
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"revision": null,
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"variant": null
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}
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]
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}
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"revision": null,
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"variant": null
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}
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]
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}
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