Instructions to use huwhitememes/diddy-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use huwhitememes/diddy-lora 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("huwhitememes/diddy-lora") prompt = "A photo of Diddy, Diddy, Sean Combs, Puff Daddy, P Diddy, Puffy," image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
diddy-lora
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- A photo of Diddy, Diddy, Sean Combs, Puff Daddy, P Diddy, Puffy,
Trigger words
You should use A photo of Diddy, Diddy, Sean Combs, Puff Daddy, P Diddy, Puffy, 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.
- Downloads last month
- 25
Model tree for huwhitememes/diddy-lora
Base model
black-forest-labs/FLUX.1-dev