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ipadapter_sdxl.py
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ipadapter_sdxl.py
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from diffusers import StableDiffusionXLPipeline, DDIMScheduler
import torch
from PIL import Image
import config as cfg
from ip_adapter.ip_adapter import IPAdapter
device = "cuda"
pipe = StableDiffusionXLPipeline.from_single_file(cfg.sdxl_base_model_path, torch_dtype=torch.float16)
pipe.watermark = None
pipe.safety_checker = None
pipe.feature_extractor = None
pipe.scheduler = DDIMScheduler.from_config(pipe.scheduler.config)
pipe.to(device)
image1 = Image.open("assets/input_venere.jpg")
image2 = Image.open("assets/input_portrait.jpg")
ip_adapter = IPAdapter(pipe, cfg.ipadapter_sdxl_path, cfg.image_encoder_sdxl_path, device=device)
generator = torch.Generator().manual_seed(111)
"""
SDXL model with one reference image and text prompt
"""
prompt_embeds, negative_prompt_embeds, pooled_prompt_embeds, negative_pooled_prompt_embeds = ip_adapter.get_prompt_embeds(
image1,
prompt="beautiful renaissance woman",
negative_prompt="blurry, horror, worst quality, low quality",
)
image = pipe(
prompt_embeds=prompt_embeds,
negative_prompt_embeds=negative_prompt_embeds,
pooled_prompt_embeds=pooled_prompt_embeds,
negative_pooled_prompt_embeds=negative_pooled_prompt_embeds,
num_inference_steps=30,
guidance_scale=5.0,
num_images_per_prompt=1,
height=1024,
width=1024,
generator=generator,
).images[0]
image.save("output/ipadapter_sdxl.webp", lossless=True, quality=100)
"""
SDXL model with two reference images and text prompt
"""
prompt_embeds, negative_prompt_embeds, pooled_prompt_embeds, negative_pooled_prompt_embeds = ip_adapter.get_prompt_embeds(
[image1, image2],
prompt="beautiful renaissance woman",
negative_prompt="blurry, horror, worst quality, low quality",
)
image = pipe(
prompt_embeds=prompt_embeds,
negative_prompt_embeds=negative_prompt_embeds,
pooled_prompt_embeds=pooled_prompt_embeds,
negative_pooled_prompt_embeds=negative_pooled_prompt_embeds,
num_inference_steps=30,
guidance_scale=5.0,
num_images_per_prompt=1,
height=1024,
width=1024,
generator=generator,
).images[0]
image.save("output/ipadapter_sdxl_multi.webp", lossless=True, quality=100)
"""
SDXL model with two reference images and noisy negative images
Negative image can be anything but it seems to react better to very noisy images
"""
noise = Image.effect_noise((224, 224), 10)
prompt_embeds, negative_prompt_embeds, pooled_prompt_embeds, negative_pooled_prompt_embeds = ip_adapter.get_prompt_embeds(
[image1, image2],
prompt="beautiful renaissance woman",
negative_prompt="blurry, horror, worst quality, low quality",
negative_images=[noise, noise],
)
image = pipe(
prompt_embeds=prompt_embeds,
negative_prompt_embeds=negative_prompt_embeds,
pooled_prompt_embeds=pooled_prompt_embeds,
negative_pooled_prompt_embeds=negative_pooled_prompt_embeds,
num_inference_steps=30,
guidance_scale=5.0,
num_images_per_prompt=1,
height=1024,
width=1024,
generator=generator,
).images[0]
image.save("output/ipadapter_sdxl_noise.webp", lossless=True, quality=100)
"""
SDXL model with one reference image and text prompt
"""
prompt_embeds, negative_prompt_embeds, pooled_prompt_embeds, negative_pooled_prompt_embeds = ip_adapter.get_prompt_embeds(
image1,
prompt="beautiful woman wearing sunglasses",
negative_prompt="blurry, horror, worst quality, low quality",
)
ip_adapter.set_scale(.5)
image = pipe(
prompt_embeds=prompt_embeds,
negative_prompt_embeds=negative_prompt_embeds,
pooled_prompt_embeds=pooled_prompt_embeds,
negative_pooled_prompt_embeds=negative_pooled_prompt_embeds,
num_inference_steps=30,
guidance_scale=5.0,
num_images_per_prompt=1,
height=1024,
width=1024,
generator=generator,
).images[0]
image.save("output/ipadapter_sdxl_text.webp", lossless=True, quality=100)