File size: 1,220 Bytes
a4c74a6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 |
---
license: mit
base_model: runwayml/stable-diffusion-v1-5
tags:
- stable-diffusion
- text-to-image
- diffusers
- lora
- style
- art
---
# LoRA for Style: Abstract_Expressionism
A LoRA fine-tuned to generate images in the **Abstract Expressionism** style. Use the trigger phrase `in abstract expressionism style` in your prompts.
This LoRA was trained on the [WikiArt dataset](https://www.kaggle.com/datasets/steubk/wikiart) for 1000 steps.
## How to Use
This LoRA is designed to be used with the `diffusers` library.
```python
import torch
from diffusers import StableDiffusionPipeline
from peft import PeftModel
# --- 1. Load the base model ---
base_model_id = "runwayml/stable-diffusion-v1-5"
pipe = StableDiffusionPipeline.from_pretrained(base_model_id, torch_dtype=torch.float16).to("cuda")
# --- 2. Load the LoRA adapter ---
repo_id = "aanchal77/Final-One"
lora_path_in_repo = "styles/Abstract_Expressionism"
pipe.unet = PeftModel.from_pretrained(pipe.unet, repo_id, subfolder=lora_path_in_repo)
# --- 3. Generate an image ---
prompt = f"A futuristic cityscape in abstract expressionism style"
image = pipe(prompt, num_inference_steps=20, guidance_scale=7.5).images[0]
image.save("generated_image.png")
|