Instructions to use fusing/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fusing/test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fusing/test", 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
Commit ·
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Parent(s): d0cf90c
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Browse files
tokenizer/tokenizer_config.json
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"rstrip": false,
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"single_word": false
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},
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"model_max_length":
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"name_or_path": "/sharefs/baai-mrnd/yzd/test/xlm-roberta-large",
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"pad_token": "<pad>",
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"processor_class": "CHCLIPProcess",
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"rstrip": false,
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"single_word": false
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},
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"model_max_length": 77,
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"name_or_path": "/sharefs/baai-mrnd/yzd/test/xlm-roberta-large",
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"pad_token": "<pad>",
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"processor_class": "CHCLIPProcess",
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