How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("XLabs-AI/flux-lora-collection", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("EVA787797/juuiu8988")

prompt = "-"
image = pipe(prompt).images[0]

laura

Prompt
-
Prompt
-
Prompt
-
Prompt
-
Prompt
-
Prompt
-
Prompt
-
Prompt
-
Prompt
-
Prompt
-
Prompt
-
Prompt
-

Trigger words

You should use femme to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

Downloads last month
11
Inference Examples
Examples
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for EVA787797/juuiu8988

Adapter
(8)
this model