Instructions to use aellaboudy/generativeModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aellaboudy/generativeModel with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("aellaboudy/generativeModel") prompt = "gold jewelry" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 3dc1e07c18a2f37af9adaf9e001aa225aaa14ccb87d0618629344d2a167529c3
- Size of remote file:
- 3.29 MB
- SHA256:
- 914088bc967f881862c790d7bc30a45d851cc6bcd9e1912064e9b83883c3818e
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