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:
- 43593f590cc9177bbb922ff6cc18eca91a47ea6556fa5b9fb290e577f148360d
- Size of remote file:
- 1.17 MB
- SHA256:
- ad5c2e66bfc820b9d9fb33a96f16d5a341c15062b694df175a7ee891b5708e99
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