Instructions to use Sagardai/g2k2r with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Sagardai/g2k2r 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("Sagardai/g2k2r") prompt = "g2k2r a tiger riding bike --d 99" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
g2k2r
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- g2k2r a tiger riding bike --d 99

- Prompt
- g2k2r a tiger playing football --d 99

- Prompt
- g2k2r a tiger eating --d 99
Trigger words
You should use g2k2r 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 Sagardai/g2k2r
Base model
black-forest-labs/FLUX.1-dev