Instructions to use VHKE/3d-bever-lr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use VHKE/3d-bever-lr 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/3d-bever-lr") prompt = "3D bever lr walking in a forest -- d 45" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
3D bever lr
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- 3D bever lr walking in a forest -- d 45
Trigger words
You should use 3D bever lr 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/3d-bever-lr
Base model
black-forest-labs/FLUX.1-dev