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 sd3.safetensors from diffusers-internal-dev/private-model: direct link, hf CLI and curl.
- Browser
- Download file 1.83 GB
-
https://huggingface.co/diffusers-internal-dev/private-model/resolve/main/sd3.safetensors
- Command line
-
hf download hf://diffusers-internal-dev/private-model/sd3.safetensors
-
curl -L -o sd3.safetensors https://huggingface.co/diffusers-internal-dev/private-model/resolve/main/sd3.safetensors
1.83 GB
- Xet hash:
- 4602fcb5bb944e674b615ea0540d4759ba68bc0d12ee3dd5522d52aebdad8acd
- Size of remote file:
- 1.83 GB
- SHA256:
- 191ef29d9425a07d8f78fa2f6bf4e42fb6328c44ffe30bf18b4f0d4345259972
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