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: 275 Bytes
82709cf | 1 2 3 4 5 6 7 8 9 10 11 | {
"_class_name": "LTX2LatentUpsamplerModel",
"_diffusers_version": "0.37.0.dev0",
"dims": 3,
"in_channels": 128,
"mid_channels": 1024,
"num_blocks_per_stage": 4,
"rational_spatial_scale": 2.0,
"spatial_upsample": true,
"temporal_upsample": false
} |