Text-to-Image
Diffusers
TensorBoard
stable-diffusion-xl
stable-diffusion-xl-diffusers
lora
template:sd-lora
Instructions to use umesh16071973/_Flooplan_DB_LoRA_ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use umesh16071973/_Flooplan_DB_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("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("umesh16071973/_Flooplan_DB_LoRA_") prompt = "a high quality, 4K photo of a FLOORPLAN" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-717/optimizer.bin from umesh16071973/_Flooplan_DB_LoRA_: direct link, hf CLI and curl.
- Browser
- Download file 15 MB
-
https://huggingface.co/umesh16071973/_Flooplan_DB_LoRA_/resolve/main/checkpoint-717/optimizer.bin
- Command line
-
hf download hf://umesh16071973/_Flooplan_DB_LoRA_/checkpoint-717/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/umesh16071973/_Flooplan_DB_LoRA_/resolve/main/checkpoint-717/optimizer.bin
15 MB
- Xet hash:
- 73a01b1c0b7e701f124460ac0766b235bc6a607b10ce01825106b11f379422b1
- Size of remote file:
- 15 MB
- SHA256:
- 4f35935012dd4ad8f2190296e360b8b74ee989110011464eb8472d4919d1539c
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