Instructions to use l3xx/faridbang with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use l3xx/faridbang 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("l3xx/faridbang") prompt = "F4RID4" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
faridbang
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- F4RID4

- Prompt
- F4RID4,a Man infront the brandenburger tor holding a sign saying" FARID BANG"
Trigger words
You should use F4RID4 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 l3xx/faridbang
Base model
black-forest-labs/FLUX.1-dev