Instructions to use Rin247/LTX-2.5-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rin247/LTX-2.5-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("Rin247/LTX-2.5-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
Download diffusion_decoder/config.json from Rin247/LTX-2.5-Diffusers: direct link, hf CLI and curl.
- Browser
- Download file 1.09 kB
-
https://huggingface.co/Rin247/LTX-2.5-Diffusers/resolve/main/diffusion_decoder/config.json
- Command line
-
hf download hf://Rin247/LTX-2.5-Diffusers/diffusion_decoder/config.json
-
curl -L -o config.json https://huggingface.co/Rin247/LTX-2.5-Diffusers/resolve/main/diffusion_decoder/config.json
1.09 kB
| { | |
| "_class_name": "LTX2VideoDiffusionDecoderModel", | |
| "_diffusers_version": "0.40.0.dev0", | |
| "decoder_head_dim": 64, | |
| "decoder_model_output_type": "x0", | |
| "decoder_num_inference_steps": 1, | |
| "decoder_stage5_kernel": [ | |
| 11, | |
| 11, | |
| 11 | |
| ], | |
| "decoder_stage_channels": [ | |
| 2048, | |
| 1024, | |
| 512, | |
| 512, | |
| 256 | |
| ], | |
| "decoder_stage_depths": [ | |
| 4, | |
| 6, | |
| 4, | |
| 2, | |
| 8 | |
| ], | |
| "decoder_stage_kernels": [ | |
| [ | |
| 3, | |
| 7, | |
| 7 | |
| ], | |
| [ | |
| 3, | |
| 7, | |
| 7 | |
| ], | |
| [ | |
| 3, | |
| 5, | |
| 5 | |
| ], | |
| [ | |
| 3, | |
| 5, | |
| 5 | |
| ] | |
| ], | |
| "decoder_t_emb_dim": 384, | |
| "decoder_timestep_scale_multiplier": 1000.0, | |
| "decoder_upsample_channel_reductions": [ | |
| 2, | |
| 2, | |
| 1, | |
| 2 | |
| ], | |
| "decoder_upsample_strides": [ | |
| [ | |
| 1, | |
| 2, | |
| 2 | |
| ], | |
| [ | |
| 2, | |
| 1, | |
| 1 | |
| ], | |
| [ | |
| 2, | |
| 2, | |
| 2 | |
| ], | |
| [ | |
| 2, | |
| 2, | |
| 2 | |
| ] | |
| ], | |
| "latent_channels": 128, | |
| "out_channels": 3, | |
| "patch_size": 4, | |
| "scaling_factor": 1.0, | |
| "spatial_compression_ratio": 32, | |
| "temporal_compression_ratio": 8 | |
| } | |