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
- Xet hash:
- d082e32a65f14eed24671af67f8ba00aa0d157c4c1406b1f1e2ec84c22c844ee
- Size of remote file:
- 89.7 MB
- SHA256:
- c78eeb8864840ff1aea2e9445567718a5652d0d459ed44678a87cc97d1483c8a
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