Instructions to use Migga/flux-scratch-lora-rk16-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Migga/flux-scratch-lora-rk16-random 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("Migga/flux-scratch-lora-rk16-random") prompt = "High contrast scratch defect on dark glass display, thin linear scratch, occasional diagonal orientation, sharp edges, isolated single defect, reflective glossy surface with subtle metallic sheen, fine texture on smooth surface, close-up industrial inspection photo, uniform lighting with faint glow, minimal dark background, minimal noise, shallow depth of field" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
flux-scratch-lora-rk16-random
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- High contrast scratch defect on dark glass display, thin linear scratch, occasional diagonal orientation, sharp edges, isolated single defect, reflective glossy surface with subtle metallic sheen, fine texture on smooth surface, close-up industrial inspection photo, uniform lighting with faint glow, minimal dark background, minimal noise, shallow depth of field
Trigger words
You should use High contrast scratch defect on dark glass display, thin linear scratch, occasional diagonal orientation, sharp edges, isolated single defect, reflective glossy surface with subtle metallic sheen, fine texture on smooth surface, close-up industrial inspection photo, uniform lighting with faint glow, minimal dark background, minimal noise, shallow depth of field to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
Weights for this model are available in Safetensors format.
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Model tree for Migga/flux-scratch-lora-rk16-random
Base model
black-forest-labs/FLUX.1-dev