Instructions to use NeuralGL/vakulasmith-dev2pro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NeuralGL/vakulasmith-dev2pro 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("NeuralGL/vakulasmith-dev2pro") prompt = "VakulaSmith, sits near table and on the table there is a bowl of hot dumplings, he holds a fork and is ready to eat" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
VakulaSmith_dev2pro
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- VakulaSmith, sits near table and on the table there is a bowl of hot dumplings, he holds a fork and is ready to eat

- Prompt
- VakulaSmith, closeup shot, wears papakha hat and fur coat, winter night street background, village night background

- Prompt
- VakulaSmith wearing suit, dark gray background, aesthetic, looks cool, looks mysterious, grayscale shot, photoshoot, half-body shot
Trigger words
You should use VakulaSmith 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 NeuralGL/vakulasmith-dev2pro
Base model
black-forest-labs/FLUX.1-dev