Instructions to use JackIsNotInTheBox/Generate_Audio_for_Video_Checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JackIsNotInTheBox/Generate_Audio_for_Video_Checkpoints with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("JackIsNotInTheBox/Generate_Audio_for_Video_Checkpoints", 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
Mirror config.json from google/siglip2-base-patch16-512@a89f5c50
Browse files
encoders/google/siglip2-base-patch16-512/config.json
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{
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"initializer_factor": 1.0,
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"model_type": "siglip",
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"text_config": {
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"model_type": "siglip_text_model",
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"vocab_size": 256000
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},
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"transformers_version": "4.49.0.dev0",
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"vision_config": {
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"image_size": 512,
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"model_type": "siglip_vision_model"
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}
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}
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