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

- Prompt
- bunny teddy bear sitting on a couch --d 45

- Prompt
- bunny teddy bear sitting on a desk --d 45

- Prompt
- bunny teddy bear held by a child inside an elevator --d 45
Trigger words
You should use bunny 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/bunny
Base model
black-forest-labs/FLUX.1-dev