Instructions to use Keltezaa/MichelleTrachtenberg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Keltezaa/MichelleTrachtenberg 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("Keltezaa/MichelleTrachtenberg") prompt = "photorealistic high quality photo of Michelle Trachtenberg" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Michelle Trachtenberg

- Prompt
- photorealistic high quality photo of Michelle Trachtenberg
Trigger words
You should use MichelleTrachtenberg to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for Keltezaa/MichelleTrachtenberg
Base model
black-forest-labs/FLUX.1-dev