Instructions to use Shubham9280/trained-sd3-visplay_lora_medium_8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shubham9280/trained-sd3-visplay_lora_medium_8 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-3.5-medium", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Shubham9280/trained-sd3-visplay_lora_medium_8") prompt = "a realistic design of a retail shop using QuboM interior system" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- 5e1f0e5971e588f31ee4906997efbcb48533cd9b79e0c3e2fb61f61d0632ca35
- Size of remote file:
- 1.1 MB
- SHA256:
- 312025fb1b8efd2b8517fe2755ff4a939f2c57cf1241760137dad8deef9732c5
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