---
tags:
- stable-diffusion
- lora
- text-to-image
- diffusers
base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
---

# LoRA fine-tuned on custom dataset

## Details
- **Base model**: `stable-diffusion-v1-5/stable-diffusion-v1-5`
- **Resolution**: 512px
- **Method**: LoRA (rank 16)
- **Training steps**: 1500
- **Learning rate**: 0.0001

## Usage

```python
import torch
from diffusers import StableDiffusionPipeline

pipe = StableDiffusionPipeline.from_pretrained(
    "stable-diffusion-v1-5/stable-diffusion-v1-5", torch_dtype=torch.float16
).to("cuda")

pipe.load_lora_weights("tenith/pokemon-lora")

image = pipe("your prompt here", num_inference_steps=30, guidance_scale=7.5).images[0]
image.save("output.png")
```