Instructions to use shubham2309/nikki with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use shubham2309/nikki 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("shubham2309/nikki") prompt = "nikki a woman walking across a lush green field," image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
nikki
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- nikki a woman walking across a lush green field,

- Prompt
- nikki a woman in a blue dress standing on the street

- Prompt
- nikki standing on the seashore
Trigger words
You should use nikki 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
- 8
Model tree for shubham2309/nikki
Base model
black-forest-labs/FLUX.1-dev