Instructions to use Jonjew/TeriHatcher with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/TeriHatcher 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("Jonjew/TeriHatcher") prompt = "<lora:Teri_Hatcher_Flux:1> This is a beautiful photograph of a woman, dark brown hair styled in loose waves. Her hair cascades around her shoulders, framing her face. She is wearing a boatneck dress, Standing in a cafe. Looking at the viewer. Smile." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Teri Hatcher

- Prompt
- <lora:Teri_Hatcher_Flux:1> This is a beautiful photograph of a woman, dark brown hair styled in loose waves. Her hair cascades around her shoulders, framing her face. She is wearing a boatneck dress, Standing in a cafe. Looking at the viewer. Smile.
Model description
FROM https://civitai.com/models/1083383/teri-hatcher-1990s-flux?modelVersionId=1216500
Strength 1
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 Jonjew/TeriHatcher
Base model
black-forest-labs/FLUX.1-dev