import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("sushan98/nepal-lora-test")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]🏔️ Nepal LoRA Fine-Tune (Stable Diffusion v1.5)
Trained by Sushan Ghimire (@sushan98).
This LoRA is fine-tuned on Stable Diffusion v1.5 (stable-diffusion-v1-5/stable-diffusion-v1-5) to generate high-fidelity imagery representing the culture, architecture, traditional attire, landscapes, and landmarks of Nepal.
📦 Model Details
- Base Model:
stable-diffusion-v1-5/stable-diffusion-v1-5 - Weights Format: Safetensors (
pytorch_lora_weights.safetensors) - Task: Text-to-Image Generation
- Author: Sushan Ghimire
🚀 Usage with diffusers
import torch
from diffusers import StableDiffusionPipeline
# Load base SD 1.5 model
pipe = StableDiffusionPipeline.from_pretrained(
"stable-diffusion-v1-5/stable-diffusion-v1-5",
torch_dtype=torch.float16
).to("cuda")
# Load Nepal LoRA weights from sushan98
pipe.load_lora_weights("sushan98/nepal-lora-test")
# Generate Image
prompt = "A breathtaking panoramic view of Kathmandu Valley, traditional Newari architecture, sacred temples, golden hour lighting, 8k resolution, highly detailed"
image = pipe(prompt, num_inference_steps=30, guidance_scale=7.5).images[0]
image.save("nepal_scenery.png")
🖼️ Suggested Prompts & Styles
- Heritage & Architecture: "Patan Durbar Square with intricate wood-carved temple windows, prayer flags fluttering in mountain breeze, cinematic lighting"
- Traditional Portraits: "A traditional Nepali portrait in Daura Suruwal and Dhaka Topi, realistic skin texture, warm studio portrait"
- Himalayan Landscapes: "Mount Everest and Machapuchare peaks glowing at sunrise, Sherpa prayer stones, photorealistic, 8k"
⚖️ License
CreativeML OpenRAIL-M license (consistent with Stable Diffusion v1.5).
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Model tree for sushan98/nepal-lora-test
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