Instructions to use dilber/ksrtd_sdxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dilber/ksrtd_sdxl 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("dilber/ksrtd_sdxl") prompt = "A photo of keralartc bus flying in the sky with wings, clouds around. Cinematic, 8K, professional lighting" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
KSRTC-sdxl

- Prompt
- A photo of keralartc bus flying in the sky with wings, clouds around. Cinematic, 8K, professional lighting

- Prompt
- A keralartc bus transformed into a submarine, underwater, surrounded by tropical fish and coral reefs
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for dilber/ksrtd_sdxl
Base model
stabilityai/stable-diffusion-xl-base-1.0