Instructions to use OzzyGT/MOSS_Image_SFT_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OzzyGT/MOSS_Image_SFT_diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OzzyGT/MOSS_Image_SFT_diffusers", 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
Download vae/diffusion_pytorch_model.safetensors from OzzyGT/MOSS_Image_SFT_diffusers: direct link, hf CLI and curl.
- Browser
- Download file 250 MB
-
https://huggingface.co/OzzyGT/MOSS_Image_SFT_diffusers/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://OzzyGT/MOSS_Image_SFT_diffusers/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/OzzyGT/MOSS_Image_SFT_diffusers/resolve/main/vae/diffusion_pytorch_model.safetensors
250 MB
- Xet hash:
- e4d5caba56d999efe2d27deca52ebc42429be31addc1833eda36b277dbaf0b67
- Size of remote file:
- 250 MB
- SHA256:
- c3bdf94dc67ec69b30ea9fe1fa8340085679cae64d019f7c7e4a9921f1a7f17a
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