Instructions to use Jonjew/HolographicFlux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/HolographicFlux 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/HolographicFlux") prompt = "Barack Obama, face, blue and black holographic LiDAR image in the style of HLGRPHC" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Holographic (Flux LoRA)

- Prompt
- Barack Obama, face, blue and black holographic LiDAR image in the style of HLGRPHC

- Prompt
- Marilyn Monroe, face, blue and black holographic LiDAR image in the style of HLGRPHC
Model description
FROM https://civitai.com/models/837117/holographic-flux-lora
Trigger HLGRPHC
How to use You should use in the style of HLGRPHC to trigger the image generation.
How to support Post images you create to the gallery below. It really does help by bringing attention to the model, but most of all I enjoy seeing what you create!
Try my other LoRAs.
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Trigger words
You should use HLGRPHC 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/HolographicFlux
Base model
black-forest-labs/FLUX.1-dev