Instructions to use 22h/vintedois-diffusion-v0-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 22h/vintedois-diffusion-v0-2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("22h/vintedois-diffusion-v0-2", 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 Settings
- Draw Things
- DiffusionBee
Commit ·
b64b184
1
Parent(s): a300737
Upload tokenizer with huggingface_hub
Browse files
tokenizer/tokenizer_config.json
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},
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"errors": "replace",
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"model_max_length": 77,
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"name_or_path": "/root/.cache/huggingface/diffusers/models--
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"pad_token": "<|endoftext|>",
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"special_tokens_map_file": "./special_tokens_map.json",
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"tokenizer_class": "CLIPTokenizer",
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},
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"errors": "replace",
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"model_max_length": 77,
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"name_or_path": "/root/.cache/huggingface/diffusers/models--22h--vintedois-diffusion-v0-2/snapshots/3e03cf588263bac5c9aa63aa08d4d1093e9e8c8e/tokenizer",
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"pad_token": "<|endoftext|>",
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"special_tokens_map_file": "./special_tokens_map.json",
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"tokenizer_class": "CLIPTokenizer",
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