Instructions to use glif-loradex-trainer/kklors_flux_dev_hardcore_henry with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif-loradex-trainer/kklors_flux_dev_hardcore_henry 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("glif-loradex-trainer/kklors_flux_dev_hardcore_henry") prompt = "standing on a skyscaper, looking down on a big city at night HH,POV" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
flux_dev_hardcore_henry
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user kklors.

- Prompt
- standing on a skyscaper, looking down on a big city at night HH,POV

- Prompt
- shooting a gun at villains in a warehouse HH,POV

- Prompt
- a young blond woman operating a computer interface on a big computer panel HH,POV

- Prompt
- an army of cyborgs wearing white overallsHH,POV

- Prompt
- driving a car in a chase, car interior HH,POV

- Prompt
- low angle view looking up at people HH,POV
Trigger words
You should use HH,POV to trigger the image generation.
Download model
Weights for this model are available in Safetensors format. Download them in the Files & versions tab.
License
This model is licensed under the flux-1-dev-non-commercial-license.
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Model tree for glif-loradex-trainer/kklors_flux_dev_hardcore_henry
Base model
black-forest-labs/FLUX.1-dev