Instructions to use tudaqian/a5000_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tudaqian/a5000_test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tudaqian/a5000_test", 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 checkpoint-3000/random_states_0.pkl from tudaqian/a5000_test: direct link, hf CLI and curl.
- Browser
- Download file 16.6 kB
-
https://huggingface.co/tudaqian/a5000_test/resolve/main/checkpoint-3000/random_states_0.pkl
- Command line
-
hf download hf://tudaqian/a5000_test/checkpoint-3000/random_states_0.pkl
-
curl -L -o random_states_0.pkl https://huggingface.co/tudaqian/a5000_test/resolve/main/checkpoint-3000/random_states_0.pkl
16.6 kB
- Xet hash:
- 168c6128af5914ad6633bb652ba112692eb89878fdf762c85ffe5c86d4937b6c
- Size of remote file:
- 16.6 kB
- SHA256:
- 225dfe09234901b961a04fd38d55456973aa2257574a51b017b505087896344f
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