Instructions to use misri/leosamsHelloworldXL_helloworldXL60 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use misri/leosamsHelloworldXL_helloworldXL60 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("misri/leosamsHelloworldXL_helloworldXL60", 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:
- 098b6da7c410c4c30e53df4974902cc70b08001b648004cb5aeccfb461c6e297
- Size of remote file:
- 6.94 GB
- SHA256:
- 8ca0bade3c3fc4b412d34fb6a0ab99ec7f54aedd06bf7c61753dea863f86796f
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