Instructions to use fahminoor/zenmagh3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fahminoor/zenmagh3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rupeshs/LCM-runwayml-stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("fahminoor/zenmagh3") prompt = "zenmagh, single glass bottle with white plastic cap, product packshot, bottle only, white seamless background, softbox studio lighting, soft shadow on table, sharp edges, realistic materials, 50mm photo" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee