Instructions to use lunarfish/furrydiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lunarfish/furrydiffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lunarfish/furrydiffusion", 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
#10
by lemonsh - opened
furrydiffusion.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f73b883711bea25894b3467e69e19ddbbb19a307a1495feae6748e75d2a0cba1
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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 sha256:27fca8794fef9738a38ea9f2ac3cd8e0382f5ba1606e2fa2f4cb81469cdc6064
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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 sha256:6c04929d2ea15ca74ccf1e1486ed46cb37743591cd1981a14d23f7786eb0a240
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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:a2b5134f4dbc140d9c11f11cba3233099e00af40f262f136c691fb7d38d2194c
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size 334643276
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