Text-to-Image
Diffusers
stable-diffusion-xl
stable-diffusion-xl-diffusers
diffusers-training
lora
template:sd-lora
Instructions to use prampampam/light-sdxl-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prampampam/light-sdxl-lora 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("prampampam/light-sdxl-lora") prompt = "a photo of living room with <s0><s1>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 6b6948f3da2a4909af818ad4e2c1ba12a6090bf0b79185b3089973510959de5a
- Size of remote file:
- 46.7 MB
- SHA256:
- b29ec0f77aeca2fabcc606dee5d61288fa47468ca67967de4153f8a6fc51d7c1
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