Instructions to use omarViga/mabama-35-2-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use omarViga/mabama-35-2-v1 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("omarViga/mabama-35-2-v1") prompt = "Sexy mabama in black lingerie, she lays down in her cosy bed wearing sexy black lingerie." 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-schnell", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("omarViga/mabama-35-2-v1")
prompt = "Sexy mabama in black lingerie, she lays down in her cosy bed wearing sexy black lingerie."
image = pipe(prompt).images[0]mabama-35-2-v1

- Prompt
- Sexy mabama in black lingerie, she lays down in her cosy bed wearing sexy black lingerie.
- Negative Prompt
- low quality
Model description
mab
Trigger words
You should use mabama to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for omarViga/mabama-35-2-v1
Base model
black-forest-labs/FLUX.1-schnell