Instructions to use busetolunay/apps-lora2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use busetolunay/apps-lora2 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/apps-lora2") prompt = "a00s style, crab" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
apps_lora2
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- a00s style, crab

- Prompt
- a00s style, dragon fruit

- Prompt
- a00s style, fish filet,

- Prompt
- a00s style, cheese

- Prompt
- a00s style, mango

- Prompt
- a00s style, coffee,

- Prompt
- a00s style, tea

- Prompt
- a00s style, pasta , white background

- Prompt
- a00s style, scallops , white background

- Prompt
- a00s style, potato , white background

- Prompt
- a00s style, corn , white background

- Prompt
- a00s style, steak , white background
Trigger words
You should use a00s 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/apps-lora2
Base model
black-forest-labs/FLUX.1-dev