Text-to-Image
Diffusers
stable-diffusion
lora
template:sd-lora
migrated
character
photorealistic
sexy
woman
Instructions to use aztro/fxl-mabama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aztro/fxl-mabama 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("aztro/fxl-mabama") prompt = " " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
fxl-mabama

- Prompt
Model description
model-ten
Trigger words
You should use mabama, beauriful woman, milf, sexy to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-schnell', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('aztro/fxl-mabama', weight_name='lora-000008.TA_trained.safetensors')
image = pipeline('`mabama`, `beauriful woman`, `milf`, `sexy`').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
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Model tree for aztro/fxl-mabama
Base model
black-forest-labs/FLUX.1-schnell