Instructions to use Nitin9sitare/finalTest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nitin9sitare/finalTest with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Nitin9sitare/finalTest") prompt = "Young fair skinned woman, Anu90,a young dark sinned man, Nitin78" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
finalTest
Model description
Trigger words
You should use Young fair skinned woman, Anu90,a young dark sinned man, Nitin78 to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Training at fal.ai
Training was done using fal.ai/models/fal-ai/flux-lora-fast-training.
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Model tree for Nitin9sitare/finalTest
Base model
black-forest-labs/FLUX.1-dev