Instructions to use Jonjew/DPHolyGramaticNeon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/DPHolyGramaticNeon 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/DPHolyGramaticNeon") prompt = "holygramatic, holygramatic art style" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
DP HolyGramatic neon illustration FLUX

- Prompt
- holygramatic, holygramatic art style

- Prompt
- holygramatic, holygramatic art style

- Prompt
- holygramatic, holygramatic art style
Model description
FROM https://civitai.com/models/1258640/dp-holygramatic-neon-illustration-flux
Trigger holygramatic, holygramatic art style
neon digital illustration style created by mixing some random art styles in my DP SDXL LAB that you can find in the workflows folder in the ComfyUI-Desert-Pixel-Nodes https://github.com/DesertPixelAi/ComfyUI-Desert-Pixel-Nodes
sample prompt: futuristic superhero closeup, holygramatic art style, detailed neon cartoon art, high detail digital illustration, high detail digital painting
Trigger words
You should use holygramatic to trigger the image generation.
You should use holygramatic art style 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/DPHolyGramaticNeon
Base model
black-forest-labs/FLUX.1-dev