Instructions to use Jonjew/CobieSmulders with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/CobieSmulders 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/CobieSmulders") prompt = "<lora:Cobie_Smulders_Flux:1> beautiful detailed photograph, dark brown hair styled in an elegant updo, and striking blue eyes, makeup, wearing a boatneck dress, standing in a cafe, looking at viewer, smile" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Cobie Smulders (Flux)

- Prompt
- <lora:Cobie_Smulders_Flux:1> beautiful detailed photograph, dark brown hair styled in an elegant updo, and striking blue eyes, makeup, wearing a boatneck dress, standing in a cafe, looking at viewer, smile
Model description
FROM https://civitai.com/models/1011501/cobie-smulders-flux?modelVersionId=1133849
Trigger none Strength 1
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
- Downloads last month
- 12
Model tree for Jonjew/CobieSmulders
Base model
black-forest-labs/FLUX.1-dev