Instructions to use l3xx/p4tr1ck with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use l3xx/p4tr1ck 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/p4tr1ck") prompt = "p4tr1ck playing banjo --d 42" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
p4tr1ck
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- p4tr1ck playing banjo --d 42

- Prompt
- p4tr1ck wearing gucci bucket hat and looking like a gangster --d 42

- Prompt
- p4tr1ck smoking weed on a subway station in new york
Trigger words
You should use p4tr1ck 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/p4tr1ck
Base model
black-forest-labs/FLUX.1-dev