Instructions to use dg845/LTX-2.3-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dg845/LTX-2.3-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("dg845/LTX-2.3-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
Update vae/config.json (#1)
Browse files- Update vae/config.json (f73533f9e952d32ba44827dc3a3344bf4fddc4eb)
Co-authored-by: YiYi Xu <YiYiXu@users.noreply.huggingface.co>
- vae/config.json +4 -4
vae/config.json
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"upsample_residual": [
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"upsample_type": [
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"spatiotemporal",
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"upsample_residual": [
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false,
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false
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],
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"upsample_type": [
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"spatiotemporal",
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