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
File size: 649 Bytes
dbd47e3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"_class_name": "LTX2TextConnectors",
"_diffusers_version": "0.37.0.dev0",
"audio_connector_attention_head_dim": 128,
"audio_connector_num_attention_heads": 30,
"audio_connector_num_layers": 2,
"audio_connector_num_learnable_registers": 128,
"caption_channels": 3840,
"causal_temporal_positioning": false,
"connector_rope_base_seq_len": 4096,
"rope_double_precision": true,
"rope_theta": 10000.0,
"rope_type": "split",
"text_proj_in_factor": 49,
"video_connector_attention_head_dim": 128,
"video_connector_num_attention_heads": 30,
"video_connector_num_layers": 2,
"video_connector_num_learnable_registers": 128
}
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