Instructions to use busetolunay/joey2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use busetolunay/joey2 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("busetolunay/joey2") prompt = "j0e1y is happily eating a burger and fries a diner" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
joey2
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- j0e1y is happily eating a burger and fries a diner

- Prompt
- j0e1y is having a picnic by the lake, there are delicious foods and pastry on the picnic blanket
Trigger words
You should use j0e1y 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 busetolunay/joey2
Base model
black-forest-labs/FLUX.1-dev