Instructions to use misri/leosamsHelloworldXL_helloworldXL70 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use misri/leosamsHelloworldXL_helloworldXL70 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_helloworldXL70", 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:
- c14f75ac1250f243b661031c11dd2d922b006055a1cc31e26b84c6ea36e366aa
- Size of remote file:
- 6.94 GB
- SHA256:
- 573f4a7d356453549938666f1b9d58df23a2a8e12efd82d674d32faf28212845
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.