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https://github.com/modelscope/DiffSynth-Studio.git
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135 lines
7.5 KiB
Python
135 lines
7.5 KiB
Python
from diffsynth.pipelines.qwen_image import QwenImagePipeline, ModelConfig
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import torch
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from PIL import Image, ImageDraw, ImageFont
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from modelscope import dataset_snapshot_download, snapshot_download
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import random
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def visualize_masks(image, masks, mask_prompts, output_path, font_size=35, use_random_colors=False):
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# Create a blank image for overlays
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overlay = Image.new('RGBA', image.size, (0, 0, 0, 0))
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colors = [
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(165, 238, 173, 80),
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(76, 102, 221, 80),
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(221, 160, 77, 80),
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(204, 93, 71, 80),
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(145, 187, 149, 80),
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(134, 141, 172, 80),
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(157, 137, 109, 80),
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(153, 104, 95, 80),
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(165, 238, 173, 80),
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(76, 102, 221, 80),
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(221, 160, 77, 80),
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(204, 93, 71, 80),
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(145, 187, 149, 80),
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(134, 141, 172, 80),
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(157, 137, 109, 80),
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(153, 104, 95, 80),
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]
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# Generate random colors for each mask
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if use_random_colors:
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colors = [(random.randint(0, 255), random.randint(0, 255), random.randint(0, 255), 80) for _ in range(len(masks))]
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# Font settings
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try:
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font = ImageFont.truetype("wqy-zenhei.ttc", font_size) # Adjust as needed
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except IOError:
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font = ImageFont.load_default(font_size)
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# Overlay each mask onto the overlay image
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for mask, mask_prompt, color in zip(masks, mask_prompts, colors):
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# Convert mask to RGBA mode
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mask_rgba = mask.convert('RGBA')
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mask_data = mask_rgba.getdata()
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new_data = [(color if item[:3] == (255, 255, 255) else (0, 0, 0, 0)) for item in mask_data]
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mask_rgba.putdata(new_data)
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# Draw the mask prompt text on the mask
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draw = ImageDraw.Draw(mask_rgba)
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mask_bbox = mask.getbbox() # Get the bounding box of the mask
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text_position = (mask_bbox[0] + 10, mask_bbox[1] + 10) # Adjust text position based on mask position
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draw.text(text_position, mask_prompt, fill=(255, 255, 255, 255), font=font)
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# Alpha composite the overlay with this mask
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overlay = Image.alpha_composite(overlay, mask_rgba)
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# Composite the overlay onto the original image
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result = Image.alpha_composite(image.convert('RGBA'), overlay)
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# Save or display the resulting image
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result.save(output_path)
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return result
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def example(pipe, seeds, example_id, global_prompt, entity_prompts):
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dataset_snapshot_download(dataset_id="DiffSynth-Studio/examples_in_diffsynth", local_dir="./", allow_file_pattern=f"data/examples/eligen/qwen-image/example_{example_id}/*.png")
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masks = [Image.open(f"./data/examples/eligen/qwen-image/example_{example_id}/{i}.png").convert('RGB') for i in range(len(entity_prompts))]
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negative_prompt = ""
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for seed in seeds:
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# generate image
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image = pipe(
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prompt=global_prompt,
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cfg_scale=4.0,
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negative_prompt=negative_prompt,
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num_inference_steps=30,
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seed=seed,
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height=1024,
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width=1024,
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eligen_entity_prompts=entity_prompts,
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eligen_entity_masks=masks,
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)
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image.save(f"eligen_example_{example_id}_{seed}.png")
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visualize_masks(image, masks, entity_prompts, f"eligen_example_{example_id}_mask_{seed}.png")
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pipe = QwenImagePipeline.from_pretrained(
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torch_dtype=torch.bfloat16,
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device="cuda",
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model_configs=[
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ModelConfig(model_id="Qwen/Qwen-Image", origin_file_pattern="transformer/diffusion_pytorch_model*.safetensors"),
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ModelConfig(model_id="Qwen/Qwen-Image", origin_file_pattern="text_encoder/model*.safetensors"),
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ModelConfig(model_id="Qwen/Qwen-Image", origin_file_pattern="vae/diffusion_pytorch_model.safetensors"),
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],
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tokenizer_config=ModelConfig(model_id="Qwen/Qwen-Image", origin_file_pattern="tokenizer/"),
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)
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snapshot_download("DiffSynth-Studio/Qwen-Image-EliGen", local_dir="models/DiffSynth-Studio/Qwen-Image-EliGen", allow_file_pattern="model.safetensors")
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pipe.load_lora(pipe.dit, "models/DiffSynth-Studio/Qwen-Image-EliGen/model.safetensors")
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# example 1
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global_prompt = "A breathtaking beauty of Raja Ampat by the late-night moonlight , one beautiful woman from behind wearing a pale blue long dress with soft glow, sitting at the top of a cliff looking towards the beach,pastell light colors, a group of small distant birds flying in far sky, a boat sailing on the sea, best quality, realistic, whimsical, fantastic, splash art, intricate detailed, hyperdetailed, maximalist style, photorealistic, concept art, sharp focus, harmony, serenity, tranquility, soft pastell colors,ambient occlusion, cozy ambient lighting, masterpiece, liiv1, linquivera, metix, mentixis, masterpiece, award winning, view from above\n"
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entity_prompts = ["cliff", "sea", "moon", "sailing boat", "a seated beautiful woman", "pale blue long dress with soft glow"]
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example(pipe, [0], 1, global_prompt, entity_prompts)
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# example 2
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global_prompt = "samurai girl wearing a kimono, she's holding a sword glowing with red flame, her long hair is flowing in the wind, she is looking at a small bird perched on the back of her hand. ultra realist style. maximum image detail. maximum realistic render."
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entity_prompts = ["flowing hair", "sword glowing with red flame", "A cute bird", "yellow belt"]
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example(pipe, [0], 2, global_prompt, entity_prompts)
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# example 3
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global_prompt = "Image of a neverending staircase up to a mysterious palace in the sky, The ancient palace stood majestically atop a mist-shrouded mountain, sunrise, two traditional monk walk in the stair looking at the sunrise, fog,see-through, best quality, whimsical, fantastic, splash art, intricate detailed, hyperdetailed, photorealistic, concept art, harmony, serenity, tranquility, ambient occlusion, halation, cozy ambient lighting, dynamic lighting,masterpiece, liiv1, linquivera, metix, mentixis, masterpiece, award winning,"
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entity_prompts = ["ancient palace", "stone staircase with railings", "a traditional monk", "a traditional monk"]
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example(pipe, [27], 3, global_prompt, entity_prompts)
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# example 4
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global_prompt = "A beautiful girl wearing shirt and shorts in the street, holding a sign 'Entity Control'"
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entity_prompts = ["A beautiful girl", "sign 'Entity Control'", "shorts", "shirt"]
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example(pipe, [21], 4, global_prompt, entity_prompts)
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# example 5
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global_prompt = "A captivating, dramatic scene in a painting that exudes mystery and foreboding. A white sky, swirling blue clouds, and a crescent yellow moon illuminate a solitary woman standing near the water's edge. Her long dress flows in the wind, silhouetted against the eerie glow. The water mirrors the fiery sky and moonlight, amplifying the uneasy atmosphere."
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entity_prompts = ["crescent yellow moon", "a solitary woman", "water", "swirling blue clouds"]
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example(pipe, [0], 5, global_prompt, entity_prompts)
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# example 6, poster
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seeds = range(0, 1)
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global_prompt = "瑞幸咖啡蓝莓奶背的宣传海报，主体是两杯浅绿色的瑞幸蓝莓奶昔杯装饮品，背景是浅蓝色水雾，海报写着“Luckin Coffee 蓝莓奶昔闪耀回归”，“新品上市” "
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entity_prompts = ["杯装饮品", "杯装饮品", "字：“新品上市”", "字：“Luckin Coffee 蓝莓奶昔闪耀回归”"]
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example(pipe, seeds, 6, global_prompt, entity_prompts)
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# example 7, same prompt with different seeds
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seeds = range(5, 9)
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global_prompt = "A beautiful asia woman wearing white dress, holding a mirror, with a forest background."
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entity_prompts = ["A beautiful woman", "mirror", "necklace", "glasses", "earring", "white dress", "jewelry headpiece"]
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example(pipe, seeds, 7, global_prompt, entity_prompts)
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