Instructions to use wuqing157/tiny-pan2-modular-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wuqing157/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("wuqing157/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 tokenizer/tokenizer.json from wuqing157/tiny-pan2-modular-pipe: direct link, hf CLI and curl.
- Browser
- Download file 20 MB
-
https://huggingface.co/wuqing157/tiny-pan2-modular-pipe/resolve/main/tokenizer/tokenizer.json
- Command line
-
hf download hf://wuqing157/tiny-pan2-modular-pipe/tokenizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/wuqing157/tiny-pan2-modular-pipe/resolve/main/tokenizer/tokenizer.json
20 MB
- Xet hash:
- 777bcaa63794fa47b8f53680be9d6d176f1fcbd7ba03cdc6c3bae2b3d76b323f
- Size of remote file:
- 20 MB
- SHA256:
- 06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523
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