metadata
license: creativeml-openrail-m
language:
- en
base_model:
- black-forest-labs/FLUX.1-dev
pipeline_tag: text-to-image
Example code
import torch
from diffusers import AutoPipelineForText2Image
# PEFT
from peft import PeftModel, PeftConfig
#
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
#
print("In progress...")
pipe = AutoPipelineForText2Image.from_pretrained(
"black-forest-labs/FLUX.1-dev",
torch_dtype=torch.float16 # bfloat16
)
pipe.to(device)
#
print("Loading lora 로드 중...")
pipe.load_lora_weights(
'Heartsync/Flux-NSFW-uncensored',
weight_name='lora.safetensors',
adapter_name="uncensored"
)
# 이미지 생성
prompt = "A woman in a sheer white dress standing on a beach at sunset"
seed = 42
generator = torch.Generator(device=device).manual_seed(seed)
image = pipe(
prompt=prompt,
negative_prompt=negative_prompt,
guidance_scale=7.0,
num_inference_steps=28,
width=1024,
height=1024,
generator=generator,
).images[0]
image.save("generated_image.png")