Image-to-Image
Diffusers
Safetensors
English
Chinese
WanImageToVideoPipeline
image editing
video generation
Instructions to use kayte0342/chronoedit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kayte0342/chronoedit with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kayte0342/chronoedit", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download image_processor/tokenizer_config.json from kayte0342/chronoedit: direct link, hf CLI and curl.
- Browser
- Download file 774 Bytes
-
https://huggingface.co/kayte0342/chronoedit/resolve/main/image_processor/tokenizer_config.json
- Command line
-
hf download hf://kayte0342/chronoedit/image_processor/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/kayte0342/chronoedit/resolve/main/image_processor/tokenizer_config.json
774 Bytes
| { | |
| "add_prefix_space": false, | |
| "added_tokens_decoder": { | |
| "49406": { | |
| "content": "<|startoftext|>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "49407": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| } | |
| }, | |
| "bos_token": "<|startoftext|>", | |
| "clean_up_tokenization_spaces": false, | |
| "do_lower_case": true, | |
| "eos_token": "<|endoftext|>", | |
| "errors": "replace", | |
| "extra_special_tokens": {}, | |
| "model_max_length": 77, | |
| "pad_token": "<|endoftext|>", | |
| "processor_class": "CLIPProcessor", | |
| "tokenizer_class": "CLIPTokenizer", | |
| "unk_token": "<|endoftext|>" | |
| } | |