Instructions to use evanscho/thelastben-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use evanscho/thelastben-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("evanscho/thelastben-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
- Xet hash:
- 34290cfb50d6ef33c3eb4fc1b7a4b829066353e4e3b9dcf66b91b858ac888396
- Size of remote file:
- 2.13 GB
- SHA256:
- 9df3c11bde8a57fb437436b0b48056f3ceb302e97065df1e4514f814b68884f3
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