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("omarViga/tart-flux-mab")
prompt = "mabama, Hot brunette woman in leggings and sweater, standing in city, detailed face, narrow waist, closed lip smirk, high quality, ultra-realistic"
image = pipe(prompt).images[0]tart-flux-mab
- Prompt
- mabama, Hot brunette woman in leggings and sweater, standing in city, detailed face, narrow waist, closed lip smirk, high quality, ultra-realistic
- Negative Prompt
- CyberRealistic_Negative-neg, badhandv4
Model description
tart-flux-mab is a LoRA model tailored for FLUX.1-dev.
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.
Use it with Diffusers
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16).to("cuda")
pipeline.load_lora_weights("omarViga/tart-flux-mab", weight_name="nombre_de_tu_archivo.safetensors")
image = pipeline("mabama, Hot brunette woman in leggings...").images[0]
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Model tree for omarViga/tart-flux-mab
Base model
black-forest-labs/FLUX.1-dev