Instructions to use evanscho/thelastben-test-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use evanscho/thelastben-test-2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("evanscho/thelastben-test-2", 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 text_encoder/pytorch_model.bin from evanscho/thelastben-test-2: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/evanscho/thelastben-test-2/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://evanscho/thelastben-test-2/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/evanscho/thelastben-test-2/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- adc0f53366eabc616de2024df5aa4d15a1088e5da2926c72bf6fa0b9278f39d6
- Size of remote file:
- 492 MB
- SHA256:
- b22d071fd295baa4a4db235ea64e6bf47bbdd0a32ae4264e5e3c14e29b927309
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