Instructions to use YuCollection/Lens-Turbo-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use YuCollection/Lens-Turbo-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("YuCollection/Lens-Turbo-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
- Local Apps
- Draw Things
- DiffusionBee
Upload tokenizer/tokenizer_config.json with huggingface_hub
Browse files
tokenizer/tokenizer_config.json
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{
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"backend": "tokenizers",
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"bos_token": "<|startoftext|>",
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|return|>",
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"is_local": false,
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"local_files_only": false,
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"model_input_names": [
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"input_ids",
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"attention_mask"
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],
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<|endoftext|>",
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"tokenizer_class": "TokenizersBackend"
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}
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