Instructions to use VHKE/begsplrs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use VHKE/begsplrs 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("VHKE/begsplrs") prompt = "BEGSPLRS sitting on a bed --d 45" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
BEGSPLRS
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- BEGSPLRS sitting on a bed --d 45

- Prompt
- BEGSPLRS sitting on a fancy mat --d 45
Trigger words
You should use BEGSPLRS 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 VHKE/begsplrs
Base model
black-forest-labs/FLUX.1-dev