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("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Keltezaa/Inni_and_Ass_pfbkFLUX")

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

Inni rear angle pfbkFLUX

Trigger words

You should use pfbk 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
36
Inference Providers NEW

Model tree for Keltezaa/Inni_and_Ass_pfbkFLUX

Adapter
(40369)
this model