Instructions to use SidXXD/tortoise_plushy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/tortoise_plushy with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SidXXD/tortoise_plushy", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <new1> tortoise plushy" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download pytorch_custom_diffusion_weights.bin from SidXXD/tortoise_plushy: direct link, hf CLI and curl.
- Browser
- Download file 76.7 MB
-
https://huggingface.co/SidXXD/tortoise_plushy/resolve/main/pytorch_custom_diffusion_weights.bin
- Command line
-
hf download hf://SidXXD/tortoise_plushy/pytorch_custom_diffusion_weights.bin
-
curl -L -o pytorch_custom_diffusion_weights.bin https://huggingface.co/SidXXD/tortoise_plushy/resolve/main/pytorch_custom_diffusion_weights.bin
76.7 MB
- Xet hash:
- b5f23e3eae675e7493b3b87b58f76e997e614d1e3f4f4cd783a72662ae565576
- Size of remote file:
- 76.7 MB
- SHA256:
- 46a853ef61cf759ef02e55c476f0b0ef037225055d9530c48be92f1913997145
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