Instructions to use OmarAmir2001/Visioneer-3-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OmarAmir2001/Visioneer-3-5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("OmarAmir2001/Visioneer-3-5") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Visioneer
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- Prompt
- -
Model description
a runwayml/stable-diffusion-v1-5 finetuned with 313 images of 2d floor plans with no text
Trigger words
You should use floor plan of a house having # living rooms to trigger the image generation.
You should use # bedrooms to trigger the image generation.
You should use # bathroom to trigger the image generation.
You should use # kitchen to trigger the image generation.
You should use type of stairs to trigger the image generation.
You should use # garage to trigger the image generation.
You should use # garden to trigger the image generation.
You should use # balcony to trigger the image generation.
You should use # hall to trigger the image generation.
You should use # store to trigger the image generation.
You should use #entrance to trigger the image generation.
You should use # warehouse to trigger the image generation.
You should use # empty space. to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for OmarAmir2001/Visioneer-3-5
Base model
runwayml/stable-diffusion-v1-5