Instructions to use Jonjew/HollyMarieCombs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/HollyMarieCombs 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/HollyMarieCombs") prompt = "This is a high-resolution photograph of a woman with a warm. She is wearing a dress. She has long hair and brown eyes. and a hint of pink lipstick. <lora:Holly_Marie_Combs:1>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Holly Marie Combs

- Prompt
- This is a high-resolution photograph of a woman with a warm. She is wearing a dress. She has long hair and brown eyes. and a hint of pink lipstick. <lora:Holly_Marie_Combs:1>
Model description
FROM https://civitai.com/models/917919/holly-marie-combs-2000s-flux?modelVersionId=1027405
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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/HollyMarieCombs
Base model
black-forest-labs/FLUX.1-dev