Instructions to use hf-internal-testing/tiny-kolors-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-kolors-pipe with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-kolors-pipe", 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
| { | |
| "added_tokens_decoder": {}, | |
| "auto_map": { | |
| "AutoTokenizer": [ | |
| "hf-internal-testing/tiny-random-chatglm3-6b--tokenization_chatglm.ChatGLMTokenizer", | |
| null | |
| ] | |
| }, | |
| "clean_up_tokenization_spaces": false, | |
| "do_lower_case": false, | |
| "encode_special_tokens": false, | |
| "eos_token": "</s>", | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "<unk>", | |
| "padding_side": "left", | |
| "remove_space": false, | |
| "tokenizer_class": "ChatGLMTokenizer", | |
| "unk_token": "<unk>" | |
| } | |