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:
- dd4e4649b082cc45dc48bceda695e29b5aa32fd7e67fc4b406378a8e420e45c7
- Size of remote file:
- 6.59 MB
- SHA256:
- 2de00460c5454fa0011c2ba91f3e8e0f92d49d1efeb5e729e33b2cfab001ec5f
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