Text-to-Image
Diffusers
diffusers-training
lora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use nityanandmathur/cityscapes-sdxl-lora-r4-i1000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nityanandmathur/cityscapes-sdxl-lora-r4-i1000 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("nityanandmathur/cityscapes-sdxl-lora-r4-i1000") prompt = "a car in sks scene" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- 34fe0cfa74ca1c0d1b61f542c29dbe2737ec7085bf55eb61a832256827eb4548
- Size of remote file:
- 1.19 MB
- SHA256:
- c832d67ddde8428dc9752c52d6676bf6e0c2513e19a5b24b080fa854dd966fd9
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