Instructions to use Jiabooo/diffusionsat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jiabooo/diffusionsat with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Jiabooo/diffusionsat", 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
#1
by SFconvertbot - opened
controlnet/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3bd5f6b9aea04714f331cd94d721c8adb8b378a2774a9805e6f0a369e33aacd7
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size 1514372328
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diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3bd5f6b9aea04714f331cd94d721c8adb8b378a2774a9805e6f0a369e33aacd7
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size 1514372328
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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:bc1827c465450322616f06dea41596eac7d493f4e95904dcb51f0fc745c4e13f
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size 680820392
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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:ef6c0264f8eb5085b08e5f16631e1ad8ba078f28d94c902276f8dfc603e3eb80
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size 1760615624
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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 sha256:3e4c08995484ee61270175e9e7a072b66a6e4eeb5f0c266667fe1f45b90daf9a
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size 167335342
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