Instructions to use ovieyra21/sdxlr-mabama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ovieyra21/sdxlr-mabama with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ByteDance/SDXL-Lightning", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ovieyra21/sdxlr-mabama") prompt = "photo of a woman mab" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 38a667c410783677f3354bcd79a40d9de85a257b85b5c86bbb9a4561550d40c4
- Size of remote file:
- 229 MB
- SHA256:
- 273e11090969c96b3104a58510bcf043c7533627b6470cb47acbc1114429bc85
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