Instructions to use xFutureTechx/May_SDXL_SD15_2024_Checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xFutureTechx/May_SDXL_SD15_2024_Checkpoints with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xFutureTechx/May_SDXL_SD15_2024_Checkpoints", 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:
- ef02bc53a5d310302d21e43ccd3f8f42776a1f1a350942b97f0bfc362680c8f6
- Size of remote file:
- 6.94 GB
- SHA256:
- c7e30927e9cbfc2a5c5b9a6d752ade9afca21b03e57f8681cf71f9009b79190e
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