Instructions to use ahmedjamal9673/dr-viral with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ahmedjamal9673/dr-viral 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("ahmedjamal9673/dr-viral") prompt = "drviral25 wearing a black jacket in egypt" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Dr Viral
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- drviral25 wearing a black jacket in egypt

- Prompt
- drviral25 standing next to ferrari car
Trigger words
You should use drviral25 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 ahmedjamal9673/dr-viral
Base model
black-forest-labs/FLUX.1-dev