Instructions to use sd-dreambooth-library/rage3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sd-dreambooth-library/rage3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sd-dreambooth-library/rage3", 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
Adding `safetensors` variant of this model
#3
by SFconvertbot - opened
rage.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ee670ac3ee50445ad70d2a9f4b2377d196b78f0376e96f547cc6569220368413
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size 2132625464
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safety_checker/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:11cfe53105625af8c00faac32a430626641cce686454f3c39d837f14397d858b
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size 1215981832
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text_encoder/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2cca7e9478ec1cd7723672c0a25fc2357c37c144d305a78ed0f2042e7877019c
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size 246144864
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unet/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6e6b730584380a08870b7a2fca6cd4c750e08b87e253aa83dac58f690cf8670a
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size 3438167536
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vae/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8b74a590396464cc3a0aef27849573f58da94fbf5a39bafb6067842bf266a329
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size 334643276
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