Instructions to use ChuuniZ/models_collection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ChuuniZ/models_collection with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ChuuniZ/models_collection", 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
Add files using upload-large-folder tool
Browse files
clip/siglip-so400m-patch14-384/model.safetensors
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clip_vision/clip_g.pth
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oid sha256:4364a1bb2bde19b3b212a7e2ad44381915a26f9efd26e9acef084a4d606cf37e
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clip_vision/siglip-so400m-patch14-384.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ea2abad2b7f8a9c1aa5e49a244d5d57ffa71c56f720c94bc5d240ef4d6e1d94a
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size 3511950624
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