Instructions to use diffusers-internal-dev/private-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers-internal-dev/private-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers-internal-dev/private-model", 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 transformer/diffusion_pytorch_model.safetensors from diffusers-internal-dev/private-model: direct link, hf CLI and curl.
- Browser
- Download file 3.47 GB
-
https://huggingface.co/diffusers-internal-dev/private-model/resolve/refs%2Fpr%2F2/transformer/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://diffusers-internal-dev/private-model@refs/pr/2/transformer/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/diffusers-internal-dev/private-model/resolve/refs%2Fpr%2F2/transformer/diffusion_pytorch_model.safetensors
3.47 GB
- Xet hash:
- 3fe92e6f004a16202bc9e0370d9162120a93465ebddf2ebb6bab7996dbc06280
- Size of remote file:
- 3.47 GB
- SHA256:
- b4fbb79151eee0cbb90a880dc19aa69f8d4c0b790b6c2d3c78384380037fa519
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.