Instructions to use krish897/LTX-Video-0.9.7-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use krish897/LTX-Video-0.9.7-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("krish897/LTX-Video-0.9.7-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
File size: 501 Bytes
3c698b4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"_class_name": "LTXVideoTransformer3DModel",
"_diffusers_version": "0.34.0.dev0",
"activation_fn": "gelu-approximate",
"attention_bias": true,
"attention_head_dim": 128,
"attention_out_bias": true,
"caption_channels": 4096,
"cross_attention_dim": 4096,
"in_channels": 128,
"norm_elementwise_affine": false,
"norm_eps": 1e-06,
"num_attention_heads": 32,
"num_layers": 48,
"out_channels": 128,
"patch_size": 1,
"patch_size_t": 1,
"qk_norm": "rms_norm_across_heads"
}
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