Instructions to use abhijit1247/female-it-engineer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use abhijit1247/female-it-engineer 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("abhijit1247/female-it-engineer") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ac110cd2c08c9967e44a271317abec558454f902c9166ff21843f8afb416e013
- Size of remote file:
- 6.59 MB
- SHA256:
- 501bbaa30491e7bd651dcbbe45290c54bf8f2fabcc0b7ea262619e193293cc75
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.