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
- Draw Things
- DiffusionBee
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]LoRA text2image fine-tuning - https://huggingface.co/abhijit1247/female-it-engineer
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the abhijit1247/female-it-engineer dataset. You can find some example images in the following.
- Downloads last month
- 2
Model tree for abhijit1247/female-it-engineer
Base model
runwayml/stable-diffusion-v1-5


