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
BiRefNet/RMBG-2.0/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:566ed80c3d95f87ada6864d4cbe2290a1c5eb1c7bb0b123e984f60f76b02c3a7
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size 884878856
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BiRefNet/RMBG-2.0/onnx/model.onnx
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oid sha256:5b486f08200f513f460da46dd701db5fbb47d79b4be4b708a19444bcd4e79958
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size 1024331469
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