language: en license: creativeml-openrail-m tags:
- lora
- stable-diffusion-xl
- dog datasets:
- your-dataset-name-here metrics:
- FID---
dog LoRA Model
This model is a LoRA (Low-Rank Adaption) model fine-tuned for generating images of pets using stable-diffusion-xl-base-1.0.
Model Description
- Model: pets LoRA
- Base Model: stabilityai/stable-diffusion-xl-base-1.0
- Dataset: Custom dataset of pets images.
- Resolution: 1024x1024
- Number of Training Steps: 10
Intended Use
- For generating images of pets.
- You can use this model to create fun and realistic images.
Training Data
The dataset consists of custom images of pets in various poses and contexts.
Limitations
- The model may not generalize well to other instances of pets with significantly different appearances.
How to Use
from diffusers import DiffusionPipeline
import torch
pipe = DiffusionPipeline.from_pretrained("andytillo1/dog_20240816_115307_LoRA")
pipe.to("cuda" if torch.cuda.is_available() else "cpu")
prompt = "A photo of a dog"
image = pipe(prompt=prompt).images[0]
image.show()
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