Instructions to use theqore/angry-mwana with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use theqore/angry-mwana 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("theqore/angry-mwana") prompt = "Mw4n4" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Angry Mwana
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- Mw4n4
Trigger words
You should use Mw4n4 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.
- Downloads last month
- 30
Model tree for theqore/angry-mwana
Base model
black-forest-labs/FLUX.1-dev