Instructions to use aztro/mabama-flux-v7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aztro/mabama-flux-v7 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("aztro/mabama-flux-v7") prompt = "mabama in a cosplay of sailor moon." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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("aztro/mabama-flux-v7")
prompt = "mabama in a cosplay of sailor moon."
image = pipe(prompt).images[0]mabama-flux-v7
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- mabama in a cosplay of sailor moon.

- Prompt
- mabama dressed in a latex suit.

- Prompt
- mabama with luxury lingerie.
Trigger words
You should use mabama 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 aztro/mabama-flux-v7
Base model
black-forest-labs/FLUX.1-dev