Instructions to use dg845/LTX-2.3-Spatial-Upsampler-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dg845/LTX-2.3-Spatial-Upsampler-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-Spatial-Upsampler-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
| { | |
| "_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, | |
| "use_rational_resampler": false | |
| } | |