Instructions to use deadvram/darkframe-slasher with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Inference
- Notebooks
- Google Colab
- Kaggle
darkframe-slasher
Style LoRA for a 1980s analog slasher look: film grain, deep red and metallic blue gels, heavy fog, crushed shadows, and a suburban night.
| Base model | black-forest-labs/FLUX.2-klein-base-4B |
| Trigger | darkframe-slasher |
| Rank / alpha | 32 / 32 |
| Training | ostris/ai-toolkit, 2500 steps, AdamW 8-bit, lr 1e-4 |
| Weight keys | ComfyUI diffusion_model. prefix |
Start the prompt with the trigger. The look is the fog, grain, and gel light. The rest of the prompt names the subject.
Example images
These are the step-2500 training samples.
Use on Fal
The weights match FLUX.2 Klein 4B. Pass this repo, or the file URL, in loras.
- Base, the model this LoRA was trained on:
fal-ai/flux-2/klein/4b/base/lora(guidance 4, about 28 steps) - Distilled 4-step:
fal-ai/flux-2/klein/4b/lora - Edit, base:
fal-ai/flux-2/klein/4b/base/edit/lora - Edit, distilled:
fal-ai/flux-2/klein/4b/edit/lora
{
"prompt": "darkframe-slasher, an adult standing on a suburban porch at night",
"guidance_scale": 4,
"num_inference_steps": 28,
"loras": [
{
"path": "https://huggingface.co/deadvram/darkframe-slasher/resolve/main/darkframe-slasher.safetensors",
"scale": 1.0
}
]
}
Klein 9B and FLUX.2 dev use a different transformer, so this file will not load on those endpoints.
Model tree for deadvram/darkframe-slasher
Base model
black-forest-labs/FLUX.2-klein-base-4B




