Instructions to use Jonjew/EmilyVanCamp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/EmilyVanCamp 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/EmilyVanCamp") prompt = "a realistic photo, hospital scene, upper body, she wears pastel scrubs, she looks directly at the viewer, eye contact with viewer, facing the viewer, smiling, artificial lighting, 8k resolution, diffused lighting, realistic shadows, detailed skin, holding a hypodermic needle a woman <lora:Emily_VanCamp:1.3> blonde hair" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Emily VanCamp

- Prompt
- a realistic photo, hospital scene, upper body, she wears pastel scrubs, she looks directly at the viewer, eye contact with viewer, facing the viewer, smiling, artificial lighting, 8k resolution, diffused lighting, realistic shadows, detailed skin, holding a hypodermic needle a woman <lora:Emily_VanCamp:1.3> blonde hair
Model description
FROM https://civitai.com/models/904400/emily-vancamp?modelVersionId=1012063
Trigger woman Strength 1.3
Trigger words
You should use woman 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 Jonjew/EmilyVanCamp
Base model
black-forest-labs/FLUX.1-dev