Instructions to use Jonjew/NathalieEmmanuel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/NathalieEmmanuel 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/NathalieEmmanuel") prompt = "Natemflx" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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/NathalieEmmanuel")
prompt = "Natemflx"
image = pipe(prompt).images[0]Nathalie Emmanuel (SDXL + FLUX LoRa)

- Prompt
- Natemflx
Model description
FROM https://civitai.com/models/953386/nathalie-emmanuel-sdxl-flux-lora?modelVersionId=1111779
Please support the creator by donating buzz and liking at the page above!
Trigger Natemflx
Trigger words
You should use Natemflx 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/NathalieEmmanuel
Base model
black-forest-labs/FLUX.1-dev