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 text_encoder/generation_config.json from Rin247/LTX-2.5-Diffusers: direct link, hf CLI and curl.
- Browser
- Download file 255 Bytes
-
https://huggingface.co/Rin247/LTX-2.5-Diffusers/resolve/main/text_encoder/generation_config.json
- Command line
-
hf download hf://Rin247/LTX-2.5-Diffusers/text_encoder/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/Rin247/LTX-2.5-Diffusers/resolve/main/text_encoder/generation_config.json
255 Bytes
| { | |
| "bos_token_id": 2, | |
| "do_sample": true, | |
| "eos_token_id": [ | |
| 1, | |
| 106, | |
| 50 | |
| ], | |
| "pad_token_id": 0, | |
| "suppress_tokens": [ | |
| 258883, | |
| 258882 | |
| ], | |
| "temperature": 1.0, | |
| "top_k": 64, | |
| "top_p": 0.95, | |
| "transformers_version": "5.14.1" | |
| } | |