Instructions to use punzel/flux_miranda_cosgrove with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use punzel/flux_miranda_cosgrove 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("punzel/flux_miranda_cosgrove") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Miranda Cosgrove

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Model description
This LoRA was trained on 25 images of Miranda Cosgrove using SimpleTuner for 1600 steps.
A trigger word is not required
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 punzel/flux_miranda_cosgrove
Base model
black-forest-labs/FLUX.1-dev