Instructions to use hf-internal-testing/tiny-pan2-modular-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-pan2-modular-pipe with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-pan2-modular-pipe", 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
Download text_encoder/model.safetensors from hf-internal-testing/tiny-pan2-modular-pipe: direct link, hf CLI and curl.
- Browser
- Download file 31.9 MB
-
https://huggingface.co/hf-internal-testing/tiny-pan2-modular-pipe/resolve/main/text_encoder/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-pan2-modular-pipe/text_encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-pan2-modular-pipe/resolve/main/text_encoder/model.safetensors
31.9 MB
- Xet hash:
- c2937e4b0f9c76e60a602a93fdc600c8c64eb3ed2ed8c437dcf740e377abef8c
- Size of remote file:
- 31.9 MB
- SHA256:
- cdd95bd7c3256d94ce1b2ee6e22df310d359d47e4ad1c36c20a92319df8fa1bf
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.