Instructions to use strangerzonehf/Flux-St-Shot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use strangerzonehf/Flux-St-Shot 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("strangerzonehf/Flux-St-Shot") prompt = "st portrait, a close-up shot of a young Asian womans face is featured prominently in the center of the frame. She is wearing a pair of gold rimmed glasses, a brown sweater with a white turtleneck underneath, adorned with the word \"NIKIE\" in bold white letters. Her hair is a vibrant shade of brown, framing her face. Her earring is adorned with a gold hoop, adding a pop of color to her ears. The background is a stark white, creating a stark contrast to her brown sweater." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
-
Update README.md
Verified signature236b03f -
Update README.md
Verified signature0a28756 -
Update README.md
Verified signature6bafc22 -
Upload 4.png
Verified signature3993fb2 -
Update README.md
Verified signature846ffa4 -
Update README.md
Verified signature8b70e88 -
Delete images/0a12dd72b11135737f3e7796e68f95d9.jpg
Verified signaturefeef368 -
Upload 3 files
Verified signaturedf9acad -
Add 2 files
Verified signature11fe9a1 -
initial commit
Verified signature3388f61