Instructions to use NeuralGL/dzidziov2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NeuralGL/dzidziov2 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/dzidziov2") prompt = "Dzidzio. brown short hair, good trimmed beard, blue eyes, wearing black jacket, front view shot, dim lighting, dim colors, photoshoot, dark background, aesthetic" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
DzidzioV2
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- Dzidzio. brown short hair, good trimmed beard, blue eyes, wearing black jacket, front view shot, dim lighting, dim colors, photoshoot, dark background, aesthetic

- Prompt
- Dzidzio, curly brown hair, beard, blue eyes, holds a kitten, photoshoot, bokeh, cute, aesthetic, wearing gray shirt
Trigger words
You should use Dzidzio 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/dzidziov2
Base model
black-forest-labs/FLUX.1-dev