Instructions to use HamzaP1/Finetune_try2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HamzaP1/Finetune_try2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("HamzaP1/Finetune_try2", dtype=torch.bfloat16, device_map="cuda") prompt = "A house plan of a 1 kanal house having car porch parking of 2 cars, gate on the south west side of the house, 2 or 3 bedrooms, front lawn, kitchen, launge, drawing and dining" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
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End of training
Hamza Wajid ParachaVerified signature41d6c0e -
initial commit
Hamza Wajid ParachaVerified signature2495750