Instructions to use hoangvinh121/kelvingk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hoangvinh121/kelvingk 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-schnell", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("hoangvinh121/kelvingk") prompt = "kelvingk walking" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
kelvingk
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- kelvingk walking

- Prompt
- kelvingk at city

- Prompt
- kelvingk at forest
Trigger words
You should use kelvingk 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 hoangvinh121/kelvingk
Base model
black-forest-labs/FLUX.1-schnell