Instructions to use rdpb/lora-trained-xl-colab2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rdpb/lora-trained-xl-colab2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("rdpb/lora-trained-xl-colab2") prompt = "a photo of thaisluna" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- abaa056e1598b9df02272ad408db06c02ad9330384bda591c5219a0e45e9e5ca
- Size of remote file:
- 23.7 MB
- SHA256:
- e50adc5a7572b3cd3cbd8b2c49e98bad1b856fd6e069e8b43f6f45edb19a83fc
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