Instructions to use keysersoze/Runfluxlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use keysersoze/Runfluxlora 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("keysersoze/Runfluxlora") prompt = "TOKYR- women sitting at a coffee shop" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Runfluxlora
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- TOKYR- women sitting at a coffee shop

- Prompt
- TOKYR- a woman standing in a white background with an apple in her hand

- Prompt
- TOKYR is a woman with blonde hair who is wearing a blue shirt against a white background.
Trigger words
You should use TOKYR 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
- 18
Model tree for keysersoze/Runfluxlora
Base model
black-forest-labs/FLUX.1-dev