Instructions to use maria26/Floor_Plan_LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use maria26/Floor_Plan_LoRA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sd-legacy/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("maria26/Floor_Plan_LoRA") prompt = "Floor plan of a small apartment, few rooms, one bathroom, big kitchen, many windows." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download scheduler.bin from maria26/Floor_Plan_LoRA: direct link, hf CLI and curl.
- Browser
- Download file 1 kB
-
https://huggingface.co/maria26/Floor_Plan_LoRA/resolve/main/scheduler.bin
- Command line
-
hf download hf://maria26/Floor_Plan_LoRA/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/maria26/Floor_Plan_LoRA/resolve/main/scheduler.bin
1 kB
- Xet hash:
- b86b4d6ee2d532370fd205f6d0f68c5af2d5cecf530599e05bd70274d7d7b540
- Size of remote file:
- 1 kB
- SHA256:
- 1e910662ac5cd28440be30bd88a72db4682f7b9317e45f905f6459a67bd0dba5
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