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:
- 64f56a45fe7977647c35c4a6e31941eb5ae3468051bc9197245c1b9e37f2bfb3
- Size of remote file:
- 2.13 GB
- SHA256:
- 68c1940c0b15661d36eaac87c203fa21f4dccc8d6d2510c604cc781466fa8b30
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