Instructions to use vdo/Latte with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vdo/Latte with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("vdo/Latte", 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 t2v_required_models/text_encoder/config.json from vdo/Latte: direct link, hf CLI and curl.
- Browser
- Download file 907 Bytes
-
https://huggingface.co/vdo/Latte/resolve/main/t2v_required_models/text_encoder/config.json
- Command line
-
hf download hf://vdo/Latte/t2v_required_models/text_encoder/config.json
-
curl -L -o config.json https://huggingface.co/vdo/Latte/resolve/main/t2v_required_models/text_encoder/config.json
907 Bytes
| { | |
| "_name_or_path": "/home/patrick/.cache/huggingface/hub/models--diffusers--PixArt-XL-2-512x512/snapshots/877b9075010eaa287c8e761447f8767d36621064/text_encoder", | |
| "architectures": [ | |
| "T5EncoderModel" | |
| ], | |
| "classifier_dropout": 0.0, | |
| "d_ff": 10240, | |
| "d_kv": 64, | |
| "d_model": 4096, | |
| "decoder_start_token_id": 0, | |
| "dense_act_fn": "gelu_new", | |
| "dropout_rate": 0.1, | |
| "eos_token_id": 1, | |
| "feed_forward_proj": "gated-gelu", | |
| "initializer_factor": 1.0, | |
| "is_encoder_decoder": true, | |
| "is_gated_act": true, | |
| "layer_norm_epsilon": 1e-06, | |
| "model_type": "t5", | |
| "num_decoder_layers": 24, | |
| "num_heads": 64, | |
| "num_layers": 24, | |
| "output_past": true, | |
| "pad_token_id": 0, | |
| "relative_attention_max_distance": 128, | |
| "relative_attention_num_buckets": 32, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "float16", | |
| "transformers_version": "4.35.0.dev0", | |
| "use_cache": true, | |
| "vocab_size": 32128 | |
| } | |