Instructions to use YuCollection/sdxl-1.0-base-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use YuCollection/sdxl-1.0-base-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("YuCollection/sdxl-1.0-base-diffusers", 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
- Draw Things
- DiffusionBee
- Xet hash:
- cb3078d8c7941edc5492d735fbd80755d5a77a6961e9cf1e938a3a07733ba193
- Size of remote file:
- 10.3 GB
- SHA256:
- 357650fbfb3c7b4d94c1f5fd7664da819ad1ff5a839430484b4ec422d03f710a
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