Instructions to use Osama03/Finetuned_diffusion_interiordesign with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Osama03/Finetuned_diffusion_interiordesign with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Osama03/Finetuned_diffusion_interiordesign") prompt = "Design a modern home office with a large wooden desk facing a window, a comfortable ergonomic chair, and shelves filled with books and decorative items. Include a laptop on the desk, a small indoor plant, and a motivational quote framed on the wall. The color scheme should be calm and professional, with light gray walls and blue accents." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-5000/optimizer.bin from Osama03/Finetuned_diffusion_interiordesign: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/Osama03/Finetuned_diffusion_interiordesign/resolve/main/checkpoint-5000/optimizer.bin
- Command line
-
hf download hf://Osama03/Finetuned_diffusion_interiordesign/checkpoint-5000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Osama03/Finetuned_diffusion_interiordesign/resolve/main/checkpoint-5000/optimizer.bin
6.59 MB
- Xet hash:
- 1136b185b52613ff38e2c027e312de1596a56204b98eaabae642ea87e3dbbebf
- Size of remote file:
- 6.59 MB
- SHA256:
- 15e9cab5b867ce5524b46c977e0d31b03c8f5421ed497976059996b944c4cde5
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