| --- |
| license: creativeml-openrail-m |
| language: |
| - en |
| base_model: |
| - black-forest-labs/FLUX.1-dev |
| pipeline_tag: text-to-image |
| --- |
| |
|
|
| ## Example code |
|
|
| ```python |
| 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") |
| ``` |