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---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/thumb_d9fab8af-90c3-4704-ad5c-9dfb7fcb4726_modern_room.jpg
text: '-'
base_model: Osama03/Finetuned_diffusion_interiordesign
instance_prompt: null
license: creativeml-openrail-m
library_name: diffusers
---
# AIVID_IM
<Gallery />
## Model description
---
tags:
- lora
- stable-diffusion
- interior-design
- peft
model-index:
- name: Interior Design LoRA
results: []
---
# Interior Design LoRA Weights
## Model Description
This is a LoRA (Low-Rank Adaptation) model trained for interior design generation. It can be used with Stable Diffusion v1.5 to generate interior design images.
## Usage
```python
from diffusers import StableDiffusionPipeline
import torch
pipe = StableDiffusionPipeline.from_pretrained(
"runwayml/stable-diffusion-v1-5",
torch_dtype=torch.float16
)
pipe.load_lora_weights("your-username/interior-design-lora-weights")
pipe = pipe.to("cuda")
prompt = "modern living room interior design"
image = pipe(prompt).images[0]
image.save("interior_design.png")
```
## Training Details
- Base model: runwayml/stable-diffusion-v1-5
- Training data: Interior design images
- Training steps: [number of steps]
- LoRA rank: 4
- LoRA alpha: 4
## Performance
This LoRA adapter enhances the base model to generate more stylistically consistent interior design images.
## Limitations
This model is specialized for interior design and may not perform well on other subjects.
## Download model
[Download](/athul2832/AIVID_IM/tree/main) them in the Files & versions tab. |