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/scheduler.bin from tudaqian/a5000_test: direct link, hf CLI and curl.
- Browser
- Download file 1 kB
-
https://huggingface.co/tudaqian/a5000_test/resolve/main/checkpoint-3000/scheduler.bin
- Command line
-
hf download hf://tudaqian/a5000_test/checkpoint-3000/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/tudaqian/a5000_test/resolve/main/checkpoint-3000/scheduler.bin
1 kB
- Xet hash:
- fbf40338db9552c3096c921e417b818d37ce733b2bdb4ff87057c7e984378b6c
- Size of remote file:
- 1 kB
- SHA256:
- b4f7eab2bd1edeecc4557a33bfb3d0be4e8a4fa29560d5219a021898f3b612eb
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