Qwen-Image-EVA-LoRA

from diffusers import DiffusionPipeline
import torch

model_name = "Qwen/Qwen-Image"

# Load the pipeline
if torch.cuda.is_available():
    torch_dtype = torch.bfloat16
    device = "cuda"
else:
    torch_dtype = torch.float32
    device = "cpu"

pipe = DiffusionPipeline.from_pretrained(model_name, torch_dtype=torch_dtype)
pipe = pipe.to(device)

# Load LoRA weights
pipe.load_lora_weights('valiantcat/Qwen-Image-Shentianyongmei-LoRA/qwen_image_eva.safetensors', adapter_name="lora")

prompt = '''mrx, The image depicts a young female character with long, reddish-brown hair tied in twin tails, wearing a traditional Japanese yukata. She is seated indoors, likely on a tatami mat, enjoying a slice of watermelon. The setting suggests a tranquil environment, possibly a ryokan or a home with Japanese architectural elements such as sliding doors and paper windows. The presence of a lantern indicates it might be late afternoon or early evening. In the background, through the open door, one can see a serene outdoor scene with greenery and a clear sky, which adds to the overall peaceful ambiance of the scene. This image could evoke feelings of relaxation and leisure, often associated with summer holidays in Japan.   '''
negative_prompt =  " "
image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=1024,
    height=1024,
    num_inference_steps=50,
    true_cfg_scale=5,
    generator=torch.Generator(device="cuda").manual_seed(123456)
)
image = image.images[0]

image.save("output.png")

from diffusers import DiffusionPipeline
import torch

model_name = "Qwen/Qwen-Image"

# Load the pipeline
if torch.cuda.is_available():
    torch_dtype = torch.bfloat16
    device = "cuda"
else:
    torch_dtype = torch.float32
    device = "cpu"

pipe = DiffusionPipeline.from_pretrained(model_name, torch_dtype=torch_dtype)
pipe = pipe.to(device)

# Load LoRA weights
pipe.load_lora_weights('valiantcat/Qwen-Image-Shentianyongmei-LoRA/qwen_image_eva.safetensors', adapter_name="lora")

prompt = '''mrx, The image depicts a young female character with long, reddish-brown hair tied in twin tails, wearing a traditional Japanese yukata. She is seated indoors, likely on a tatami mat, enjoying a slice of watermelon. The setting suggests a tranquil environment, possibly a ryokan or a home with Japanese architectural elements such as sliding doors and paper windows. The presence of a lantern indicates it might be late afternoon or early evening. In the background, through the open door, one can see a serene outdoor scene with greenery and a clear sky, which adds to the overall peaceful ambiance of the scene. This image could evoke feelings of relaxation and leisure, often associated with summer holidays in Japan.   '''
negative_prompt =  " "
image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=1024,
    height=1024,
    num_inference_steps=50,
    true_cfg_scale=5,
    generator=torch.Generator(device="cuda").manual_seed(123456)
)
image = image.images[0]

image.save("output.png")

from diffusers import DiffusionPipeline
import torch

model_name = "Qwen/Qwen-Image"

# Load the pipeline
if torch.cuda.is_available():
    torch_dtype = torch.bfloat16
    device = "cuda"
else:
    torch_dtype = torch.float32
    device = "cpu"

pipe = DiffusionPipeline.from_pretrained(model_name, torch_dtype=torch_dtype)
pipe = pipe.to(device)

# Load LoRA weights
pipe.load_lora_weights('valiantcat/Qwen-Image-Shentianyongmei-LoRA/qwen_image_eva.safetensors', adapter_name="lora")

prompt = '''mrx, The image depicts a young female character with long, reddish-brown hair tied in twin tails, wearing a traditional Japanese yukata. She is seated indoors, likely on a tatami mat, enjoying a slice of watermelon. The setting suggests a tranquil environment, possibly a ryokan or a home with Japanese architectural elements such as sliding doors and paper windows. The presence of a lantern indicates it might be late afternoon or early evening. In the background, through the open door, one can see a serene outdoor scene with greenery and a clear sky, which adds to the overall peaceful ambiance of the scene. This image could evoke feelings of relaxation and leisure, often associated with summer holidays in Japan.   '''
negative_prompt =  " "
image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=1024,
    height=1024,
    num_inference_steps=50,
    true_cfg_scale=5,
    generator=torch.Generator(device="cuda").manual_seed(123456)
)
image = image.images[0]

image.save("output.png")

from diffusers import DiffusionPipeline
import torch

model_name = "Qwen/Qwen-Image"

# Load the pipeline
if torch.cuda.is_available():
    torch_dtype = torch.bfloat16
    device = "cuda"
else:
    torch_dtype = torch.float32
    device = "cpu"

pipe = DiffusionPipeline.from_pretrained(model_name, torch_dtype=torch_dtype)
pipe = pipe.to(device)

# Load LoRA weights
pipe.load_lora_weights('valiantcat/Qwen-Image-Shentianyongmei-LoRA/qwen_image_eva.safetensors', adapter_name="lora")

prompt = '''mrx, The image depicts a young female character with long, reddish-brown hair tied in twin tails, wearing a traditional Japanese yukata. She is seated indoors, likely on a tatami mat, enjoying a slice of watermelon. The setting suggests a tranquil environment, possibly a ryokan or a home with Japanese architectural elements such as sliding doors and paper windows. The presence of a lantern indicates it might be late afternoon or early evening. In the background, through the open door, one can see a serene outdoor scene with greenery and a clear sky, which adds to the overall peaceful ambiance of the scene. This image could evoke feelings of relaxation and leisure, often associated with summer holidays in Japan.   '''
negative_prompt =  " "
image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=1024,
    height=1024,
    num_inference_steps=50,
    true_cfg_scale=5,
    generator=torch.Generator(device="cuda").manual_seed(123456)
)
image = image.images[0]

image.save("output.png")

from diffusers import DiffusionPipeline
import torch

model_name = "Qwen/Qwen-Image"

# Load the pipeline
if torch.cuda.is_available():
    torch_dtype = torch.bfloat16
    device = "cuda"
else:
    torch_dtype = torch.float32
    device = "cpu"

pipe = DiffusionPipeline.from_pretrained(model_name, torch_dtype=torch_dtype)
pipe = pipe.to(device)

# Load LoRA weights
pipe.load_lora_weights('valiantcat/Qwen-Image-Shentianyongmei-LoRA/qwen_image_eva.safetensors', adapter_name="lora")

prompt = '''mrx, The image depicts a young female character with long, reddish-brown hair tied in twin tails, wearing a traditional Japanese yukata. She is seated indoors, likely on a tatami mat, enjoying a slice of watermelon. The setting suggests a tranquil environment, possibly a ryokan or a home with Japanese architectural elements such as sliding doors and paper windows. The presence of a lantern indicates it might be late afternoon or early evening. In the background, through the open door, one can see a serene outdoor scene with greenery and a clear sky, which adds to the overall peaceful ambiance of the scene. This image could evoke feelings of relaxation and leisure, often associated with summer holidays in Japan.   '''
negative_prompt =  " "
image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=1024,
    height=1024,
    num_inference_steps=50,
    true_cfg_scale=5,
    generator=torch.Generator(device="cuda").manual_seed(123456)
)
image = image.images[0]

image.save("output.png")

from diffusers import DiffusionPipeline
import torch

model_name = "Qwen/Qwen-Image"

# Load the pipeline
if torch.cuda.is_available():
    torch_dtype = torch.bfloat16
    device = "cuda"
else:
    torch_dtype = torch.float32
    device = "cpu"

pipe = DiffusionPipeline.from_pretrained(model_name, torch_dtype=torch_dtype)
pipe = pipe.to(device)

# Load LoRA weights
pipe.load_lora_weights('valiantcat/Qwen-Image-Shentianyongmei-LoRA/qwen_image_eva.safetensors', adapter_name="lora")

prompt = '''mrx, The image depicts a young female character with long, reddish-brown hair tied in twin tails, wearing a traditional Japanese yukata. She is seated indoors, likely on a tatami mat, enjoying a slice of watermelon. The setting suggests a tranquil environment, possibly a ryokan or a home with Japanese architectural elements such as sliding doors and paper windows. The presence of a lantern indicates it might be late afternoon or early evening. In the background, through the open door, one can see a serene outdoor scene with greenery and a clear sky, which adds to the overall peaceful ambiance of the scene. This image could evoke feelings of relaxation and leisure, often associated with summer holidays in Japan.   '''
negative_prompt =  " "
image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=1024,
    height=1024,
    num_inference_steps=50,
    true_cfg_scale=5,
    generator=torch.Generator(device="cuda").manual_seed(123456)
)
image = image.images[0]

image.save("output.png")

from diffusers import DiffusionPipeline
import torch

model_name = "Qwen/Qwen-Image"

# Load the pipeline
if torch.cuda.is_available():
    torch_dtype = torch.bfloat16
    device = "cuda"
else:
    torch_dtype = torch.float32
    device = "cpu"

pipe = DiffusionPipeline.from_pretrained(model_name, torch_dtype=torch_dtype)
pipe = pipe.to(device)

# Load LoRA weights
pipe.load_lora_weights('valiantcat/Qwen-Image-Shentianyongmei-LoRA/qwen_image_eva.safetensors', adapter_name="lora")

prompt = '''mrx, The image depicts a young female character with long, reddish-brown hair tied in twin tails, wearing a traditional Japanese yukata. She is seated indoors, likely on a tatami mat, enjoying a slice of watermelon. The setting suggests a tranquil environment, possibly a ryokan or a home with Japanese architectural elements such as sliding doors and paper windows. The presence of a lantern indicates it might be late afternoon or early evening. In the background, through the open door, one can see a serene outdoor scene with greenery and a clear sky, which adds to the overall peaceful ambiance of the scene. This image could evoke feelings of relaxation and leisure, often associated with summer holidays in Japan.   '''
negative_prompt =  " "
image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=1024,
    height=1024,
    num_inference_steps=50,
    true_cfg_scale=5,
    generator=torch.Generator(device="cuda").manual_seed(123456)
)
image = image.images[0]

image.save("output.png")

from diffusers import DiffusionPipeline
import torch

model_name = "Qwen/Qwen-Image"

# Load the pipeline
if torch.cuda.is_available():
    torch_dtype = torch.bfloat16
    device = "cuda"
else:
    torch_dtype = torch.float32
    device = "cpu"

pipe = DiffusionPipeline.from_pretrained(model_name, torch_dtype=torch_dtype)
pipe = pipe.to(device)

# Load LoRA weights
pipe.load_lora_weights('valiantcat/Qwen-Image-Shentianyongmei-LoRA/qwen_image_eva.safetensors', adapter_name="lora")

prompt = '''mrx, The image depicts a young female character with long, reddish-brown hair tied in twin tails, wearing a traditional Japanese yukata. She is seated indoors, likely on a tatami mat, enjoying a slice of watermelon. The setting suggests a tranquil environment, possibly a ryokan or a home with Japanese architectural elements such as sliding doors and paper windows. The presence of a lantern indicates it might be late afternoon or early evening. In the background, through the open door, one can see a serene outdoor scene with greenery and a clear sky, which adds to the overall peaceful ambiance of the scene. This image could evoke feelings of relaxation and leisure, often associated with summer holidays in Japan.   '''
negative_prompt =  " "
image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=1024,
    height=1024,
    num_inference_steps=50,
    true_cfg_scale=5,
    generator=torch.Generator(device="cuda").manual_seed(123456)
)
image = image.images[0]

image.save("output.png")

from diffusers import DiffusionPipeline
import torch

model_name = "Qwen/Qwen-Image"

# Load the pipeline
if torch.cuda.is_available():
    torch_dtype = torch.bfloat16
    device = "cuda"
else:
    torch_dtype = torch.float32
    device = "cpu"

pipe = DiffusionPipeline.from_pretrained(model_name, torch_dtype=torch_dtype)
pipe = pipe.to(device)

# Load LoRA weights
pipe.load_lora_weights('valiantcat/Qwen-Image-Shentianyongmei-LoRA/qwen_image_eva.safetensors', adapter_name="lora")

prompt = '''mrx, The image depicts a young female character with long, reddish-brown hair tied in twin tails, wearing a traditional Japanese yukata. She is seated indoors, likely on a tatami mat, enjoying a slice of watermelon. The setting suggests a tranquil environment, possibly a ryokan or a home with Japanese architectural elements such as sliding doors and paper windows. The presence of a lantern indicates it might be late afternoon or early evening. In the background, through the open door, one can see a serene outdoor scene with greenery and a clear sky, which adds to the overall peaceful ambiance of the scene. This image could evoke feelings of relaxation and leisure, often associated with summer holidays in Japan.   '''
negative_prompt =  " "
image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=1024,
    height=1024,
    num_inference_steps=50,
    true_cfg_scale=5,
    generator=torch.Generator(device="cuda").manual_seed(123456)
)
image = image.images[0]

image.save("output.png")

from diffusers import DiffusionPipeline
import torch

model_name = "Qwen/Qwen-Image"

# Load the pipeline
if torch.cuda.is_available():
    torch_dtype = torch.bfloat16
    device = "cuda"
else:
    torch_dtype = torch.float32
    device = "cpu"

pipe = DiffusionPipeline.from_pretrained(model_name, torch_dtype=torch_dtype)
pipe = pipe.to(device)

# Load LoRA weights
pipe.load_lora_weights('valiantcat/Qwen-Image-Shentianyongmei-LoRA/qwen_image_eva.safetensors', adapter_name="lora")

prompt = '''mrx, The image depicts a young female character with long, reddish-brown hair tied in twin tails, wearing a traditional Japanese yukata. She is seated indoors, likely on a tatami mat, enjoying a slice of watermelon. The setting suggests a tranquil environment, possibly a ryokan or a home with Japanese architectural elements such as sliding doors and paper windows. The presence of a lantern indicates it might be late afternoon or early evening. In the background, through the open door, one can see a serene outdoor scene with greenery and a clear sky, which adds to the overall peaceful ambiance of the scene. This image could evoke feelings of relaxation and leisure, often associated with summer holidays in Japan.   '''
negative_prompt =  " "
image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=1024,
    height=1024,
    num_inference_steps=50,
    true_cfg_scale=5,
    generator=torch.Generator(device="cuda").manual_seed(123456)
)
image = image.images[0]

image.save("output.png")

from diffusers import DiffusionPipeline
import torch

model_name = "Qwen/Qwen-Image"

# Load the pipeline
if torch.cuda.is_available():
    torch_dtype = torch.bfloat16
    device = "cuda"
else:
    torch_dtype = torch.float32
    device = "cpu"

pipe = DiffusionPipeline.from_pretrained(model_name, torch_dtype=torch_dtype)
pipe = pipe.to(device)

# Load LoRA weights
pipe.load_lora_weights('valiantcat/Qwen-Image-Shentianyongmei-LoRA/qwen_image_eva.safetensors', adapter_name="lora")

prompt = '''mrx, The image depicts a young female character with long, reddish-brown hair tied in twin tails, wearing a traditional Japanese yukata. She is seated indoors, likely on a tatami mat, enjoying a slice of watermelon. The setting suggests a tranquil environment, possibly a ryokan or a home with Japanese architectural elements such as sliding doors and paper windows. The presence of a lantern indicates it might be late afternoon or early evening. In the background, through the open door, one can see a serene outdoor scene with greenery and a clear sky, which adds to the overall peaceful ambiance of the scene. This image could evoke feelings of relaxation and leisure, often associated with summer holidays in Japan.   '''
negative_prompt =  " "
image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=1024,
    height=1024,
    num_inference_steps=50,
    true_cfg_scale=5,
    generator=torch.Generator(device="cuda").manual_seed(123456)
)
image = image.images[0]

image.save("output.png")

from diffusers import DiffusionPipeline
import torch

model_name = "Qwen/Qwen-Image"

# Load the pipeline
if torch.cuda.is_available():
    torch_dtype = torch.bfloat16
    device = "cuda"
else:
    torch_dtype = torch.float32
    device = "cpu"

pipe = DiffusionPipeline.from_pretrained(model_name, torch_dtype=torch_dtype)
pipe = pipe.to(device)

# Load LoRA weights
pipe.load_lora_weights('valiantcat/Qwen-Image-Shentianyongmei-LoRA/qwen_image_eva.safetensors', adapter_name="lora")

prompt = '''mrx, The image depicts a young female character with long, reddish-brown hair tied in twin tails, wearing a traditional Japanese yukata. She is seated indoors, likely on a tatami mat, enjoying a slice of watermelon. The setting suggests a tranquil environment, possibly a ryokan or a home with Japanese architectural elements such as sliding doors and paper windows. The presence of a lantern indicates it might be late afternoon or early evening. In the background, through the open door, one can see a serene outdoor scene with greenery and a clear sky, which adds to the overall peaceful ambiance of the scene. This image could evoke feelings of relaxation and leisure, often associated with summer holidays in Japan.   '''
negative_prompt =  " "
image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=1024,
    height=1024,
    num_inference_steps=50,
    true_cfg_scale=5,
    generator=torch.Generator(device="cuda").manual_seed(123456)
)
image = image.images[0]

image.save("output.png")

from diffusers import DiffusionPipeline
import torch

model_name = "Qwen/Qwen-Image"

# Load the pipeline
if torch.cuda.is_available():
    torch_dtype = torch.bfloat16
    device = "cuda"
else:
    torch_dtype = torch.float32
    device = "cpu"

pipe = DiffusionPipeline.from_pretrained(model_name, torch_dtype=torch_dtype)
pipe = pipe.to(device)

# Load LoRA weights
pipe.load_lora_weights('valiantcat/Qwen-Image-Shentianyongmei-LoRA/qwen_image_eva.safetensors', adapter_name="lora")

prompt = '''mrx, The image depicts a young female character with long, reddish-brown hair tied in twin tails, wearing a traditional Japanese yukata. She is seated indoors, likely on a tatami mat, enjoying a slice of watermelon. The setting suggests a tranquil environment, possibly a ryokan or a home with Japanese architectural elements such as sliding doors and paper windows. The presence of a lantern indicates it might be late afternoon or early evening. In the background, through the open door, one can see a serene outdoor scene with greenery and a clear sky, which adds to the overall peaceful ambiance of the scene. This image could evoke feelings of relaxation and leisure, often associated with summer holidays in Japan.   '''
negative_prompt =  " "
image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=1024,
    height=1024,
    num_inference_steps=50,
    true_cfg_scale=5,
    generator=torch.Generator(device="cuda").manual_seed(123456)
)
image = image.images[0]

image.save("output.png")

from diffusers import DiffusionPipeline
import torch

model_name = "Qwen/Qwen-Image"

# Load the pipeline
if torch.cuda.is_available():
    torch_dtype = torch.bfloat16
    device = "cuda"
else:
    torch_dtype = torch.float32
    device = "cpu"

pipe = DiffusionPipeline.from_pretrained(model_name, torch_dtype=torch_dtype)
pipe = pipe.to(device)

# Load LoRA weights
pipe.load_lora_weights('valiantcat/Qwen-Image-Shentianyongmei-LoRA/qwen_image_eva.safetensors', adapter_name="lora")

prompt = '''mrx, The image depicts a young female character with long, reddish-brown hair tied in twin tails, wearing a traditional Japanese yukata. She is seated indoors, likely on a tatami mat, enjoying a slice of watermelon. The setting suggests a tranquil environment, possibly a ryokan or a home with Japanese architectural elements such as sliding doors and paper windows. The presence of a lantern indicates it might be late afternoon or early evening. In the background, through the open door, one can see a serene outdoor scene with greenery and a clear sky, which adds to the overall peaceful ambiance of the scene. This image could evoke feelings of relaxation and leisure, often associated with summer holidays in Japan.   '''
negative_prompt =  " "
image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=1024,
    height=1024,
    num_inference_steps=50,
    true_cfg_scale=5,
    generator=torch.Generator(device="cuda").manual_seed(123456)
)
image = image.images[0]

image.save("output.png")

from diffusers import DiffusionPipeline
import torch

model_name = "Qwen/Qwen-Image"

# Load the pipeline
if torch.cuda.is_available():
    torch_dtype = torch.bfloat16
    device = "cuda"
else:
    torch_dtype = torch.float32
    device = "cpu"

pipe = DiffusionPipeline.from_pretrained(model_name, torch_dtype=torch_dtype)
pipe = pipe.to(device)

# Load LoRA weights
pipe.load_lora_weights('valiantcat/Qwen-Image-Shentianyongmei-LoRA/qwen_image_eva.safetensors', adapter_name="lora")

prompt = '''mrx, The image depicts a young female character with long, reddish-brown hair tied in twin tails, wearing a traditional Japanese yukata. She is seated indoors, likely on a tatami mat, enjoying a slice of watermelon. The setting suggests a tranquil environment, possibly a ryokan or a home with Japanese architectural elements such as sliding doors and paper windows. The presence of a lantern indicates it might be late afternoon or early evening. In the background, through the open door, one can see a serene outdoor scene with greenery and a clear sky, which adds to the overall peaceful ambiance of the scene. This image could evoke feelings of relaxation and leisure, often associated with summer holidays in Japan.   '''
negative_prompt =  " "
image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=1024,
    height=1024,
    num_inference_steps=50,
    true_cfg_scale=5,
    generator=torch.Generator(device="cuda").manual_seed(123456)
)
image = image.images[0]

image.save("output.png")

from diffusers import DiffusionPipeline
import torch

model_name = "Qwen/Qwen-Image"

# Load the pipeline
if torch.cuda.is_available():
    torch_dtype = torch.bfloat16
    device = "cuda"
else:
    torch_dtype = torch.float32
    device = "cpu"

pipe = DiffusionPipeline.from_pretrained(model_name, torch_dtype=torch_dtype)
pipe = pipe.to(device)

# Load LoRA weights
pipe.load_lora_weights('valiantcat/Qwen-Image-Shentianyongmei-LoRA/qwen_image_eva.safetensors', adapter_name="lora")

prompt = '''mrx, The image depicts a young female character with long, reddish-brown hair tied in twin tails, wearing a traditional Japanese yukata. She is seated indoors, likely on a tatami mat, enjoying a slice of watermelon. The setting suggests a tranquil environment, possibly a ryokan or a home with Japanese architectural elements such as sliding doors and paper windows. The presence of a lantern indicates it might be late afternoon or early evening. In the background, through the open door, one can see a serene outdoor scene with greenery and a clear sky, which adds to the overall peaceful ambiance of the scene. This image could evoke feelings of relaxation and leisure, often associated with summer holidays in Japan.   '''
negative_prompt =  " "
image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=1024,
    height=1024,
    num_inference_steps=50,
    true_cfg_scale=5,
    generator=torch.Generator(device="cuda").manual_seed(123456)
)
image = image.images[0]

image.save("output.png")

from diffusers import DiffusionPipeline
import torch

model_name = "Qwen/Qwen-Image"

# Load the pipeline
if torch.cuda.is_available():
    torch_dtype = torch.bfloat16
    device = "cuda"
else:
    torch_dtype = torch.float32
    device = "cpu"

pipe = DiffusionPipeline.from_pretrained(model_name, torch_dtype=torch_dtype)
pipe = pipe.to(device)

# Load LoRA weights
pipe.load_lora_weights('valiantcat/Qwen-Image-Shentianyongmei-LoRA/qwen_image_eva.safetensors', adapter_name="lora")

prompt = '''mrx, The image depicts a young female character with long, reddish-brown hair tied in twin tails, wearing a traditional Japanese yukata. She is seated indoors, likely on a tatami mat, enjoying a slice of watermelon. The setting suggests a tranquil environment, possibly a ryokan or a home with Japanese architectural elements such as sliding doors and paper windows. The presence of a lantern indicates it might be late afternoon or early evening. In the background, through the open door, one can see a serene outdoor scene with greenery and a clear sky, which adds to the overall peaceful ambiance of the scene. This image could evoke feelings of relaxation and leisure, often associated with summer holidays in Japan.   '''
negative_prompt =  " "
image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=1024,
    height=1024,
    num_inference_steps=50,
    true_cfg_scale=5,
    generator=torch.Generator(device="cuda").manual_seed(123456)
)
image = image.images[0]

image.save("output.png")

from diffusers import DiffusionPipeline
import torch

model_name = "Qwen/Qwen-Image"

# Load the pipeline
if torch.cuda.is_available():
    torch_dtype = torch.bfloat16
    device = "cuda"
else:
    torch_dtype = torch.float32
    device = "cpu"

pipe = DiffusionPipeline.from_pretrained(model_name, torch_dtype=torch_dtype)
pipe = pipe.to(device)

# Load LoRA weights
pipe.load_lora_weights('valiantcat/Qwen-Image-Shentianyongmei-LoRA/qwen_image_eva.safetensors', adapter_name="lora")

prompt = '''mrx, The image depicts a young female character with long, reddish-brown hair tied in twin tails, wearing a traditional Japanese yukata. She is seated indoors, likely on a tatami mat, enjoying a slice of watermelon. The setting suggests a tranquil environment, possibly a ryokan or a home with Japanese architectural elements such as sliding doors and paper windows. The presence of a lantern indicates it might be late afternoon or early evening. In the background, through the open door, one can see a serene outdoor scene with greenery and a clear sky, which adds to the overall peaceful ambiance of the scene. This image could evoke feelings of relaxation and leisure, often associated with summer holidays in Japan.   '''
negative_prompt =  " "
image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=1024,
    height=1024,
    num_inference_steps=50,
    true_cfg_scale=5,
    generator=torch.Generator(device="cuda").manual_seed(123456)
)
image = image.images[0]

image.save("output.png")

from diffusers import DiffusionPipeline
import torch

model_name = "Qwen/Qwen-Image"

# Load the pipeline
if torch.cuda.is_available():
    torch_dtype = torch.bfloat16
    device = "cuda"
else:
    torch_dtype = torch.float32
    device = "cpu"

pipe = DiffusionPipeline.from_pretrained(model_name, torch_dtype=torch_dtype)
pipe = pipe.to(device)

# Load LoRA weights
pipe.load_lora_weights('valiantcat/Qwen-Image-Shentianyongmei-LoRA/qwen_image_eva.safetensors', adapter_name="lora")

prompt = '''mrx, The image depicts a young female character with long, reddish-brown hair tied in twin tails, wearing a traditional Japanese yukata. She is seated indoors, likely on a tatami mat, enjoying a slice of watermelon. The setting suggests a tranquil environment, possibly a ryokan or a home with Japanese architectural elements such as sliding doors and paper windows. The presence of a lantern indicates it might be late afternoon or early evening. In the background, through the open door, one can see a serene outdoor scene with greenery and a clear sky, which adds to the overall peaceful ambiance of the scene. This image could evoke feelings of relaxation and leisure, often associated with summer holidays in Japan.   '''
negative_prompt =  " "
image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=1024,
    height=1024,
    num_inference_steps=50,
    true_cfg_scale=5,
    generator=torch.Generator(device="cuda").manual_seed(123456)
)
image = image.images[0]

image.save("output.png")

from diffusers import DiffusionPipeline
import torch

model_name = "Qwen/Qwen-Image"

# Load the pipeline
if torch.cuda.is_available():
    torch_dtype = torch.bfloat16
    device = "cuda"
else:
    torch_dtype = torch.float32
    device = "cpu"

pipe = DiffusionPipeline.from_pretrained(model_name, torch_dtype=torch_dtype)
pipe = pipe.to(device)

# Load LoRA weights
pipe.load_lora_weights('valiantcat/Qwen-Image-Shentianyongmei-LoRA/qwen_image_eva.safetensors', adapter_name="lora")

prompt = '''mrx, The image depicts a young female character with long, reddish-brown hair tied in twin tails, wearing a traditional Japanese yukata. She is seated indoors, likely on a tatami mat, enjoying a slice of watermelon. The setting suggests a tranquil environment, possibly a ryokan or a home with Japanese architectural elements such as sliding doors and paper windows. The presence of a lantern indicates it might be late afternoon or early evening. In the background, through the open door, one can see a serene outdoor scene with greenery and a clear sky, which adds to the overall peaceful ambiance of the scene. This image could evoke feelings of relaxation and leisure, often associated with summer holidays in Japan.   '''
negative_prompt =  " "
image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=1024,
    height=1024,
    num_inference_steps=50,
    true_cfg_scale=5,
    generator=torch.Generator(device="cuda").manual_seed(123456)
)
image = image.images[0]

image.save("output.png")

from diffusers import DiffusionPipeline
import torch

model_name = "Qwen/Qwen-Image"

# Load the pipeline
if torch.cuda.is_available():
    torch_dtype = torch.bfloat16
    device = "cuda"
else:
    torch_dtype = torch.float32
    device = "cpu"

pipe = DiffusionPipeline.from_pretrained(model_name, torch_dtype=torch_dtype)
pipe = pipe.to(device)

# Load LoRA weights
pipe.load_lora_weights('valiantcat/Qwen-Image-Shentianyongmei-LoRA/qwen_image_eva.safetensors', adapter_name="lora")

prompt = '''mrx, The image depicts a young female character with long, reddish-brown hair tied in twin tails, wearing a traditional Japanese yukata. She is seated indoors, likely on a tatami mat, enjoying a slice of watermelon. The setting suggests a tranquil environment, possibly a ryokan or a home with Japanese architectural elements such as sliding doors and paper windows. The presence of a lantern indicates it might be late afternoon or early evening. In the background, through the open door, one can see a serene outdoor scene with greenery and a clear sky, which adds to the overall peaceful ambiance of the scene. This image could evoke feelings of relaxation and leisure, often associated with summer holidays in Japan.   '''
negative_prompt =  " "
image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=1024,
    height=1024,
    num_inference_steps=50,
    true_cfg_scale=5,
    generator=torch.Generator(device="cuda").manual_seed(123456)
)
image = image.images[0]

image.save("output.png")

from diffusers import DiffusionPipeline
import torch

model_name = "Qwen/Qwen-Image"

# Load the pipeline
if torch.cuda.is_available():
    torch_dtype = torch.bfloat16
    device = "cuda"
else:
    torch_dtype = torch.float32
    device = "cpu"

pipe = DiffusionPipeline.from_pretrained(model_name, torch_dtype=torch_dtype)
pipe = pipe.to(device)

# Load LoRA weights
pipe.load_lora_weights('valiantcat/Qwen-Image-Shentianyongmei-LoRA/qwen_image_eva.safetensors', adapter_name="lora")

prompt = '''mrx, The image depicts a young female character with long, reddish-brown hair tied in twin tails, wearing a traditional Japanese yukata. She is seated indoors, likely on a tatami mat, enjoying a slice of watermelon. The setting suggests a tranquil environment, possibly a ryokan or a home with Japanese architectural elements such as sliding doors and paper windows. The presence of a lantern indicates it might be late afternoon or early evening. In the background, through the open door, one can see a serene outdoor scene with greenery and a clear sky, which adds to the overall peaceful ambiance of the scene. This image could evoke feelings of relaxation and leisure, often associated with summer holidays in Japan.   '''
negative_prompt =  " "
image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=1024,
    height=1024,
    num_inference_steps=50,
    true_cfg_scale=5,
    generator=torch.Generator(device="cuda").manual_seed(123456)
)
image = image.images[0]

image.save("output.png")

from diffusers import DiffusionPipeline
import torch

model_name = "Qwen/Qwen-Image"

# Load the pipeline
if torch.cuda.is_available():
    torch_dtype = torch.bfloat16
    device = "cuda"
else:
    torch_dtype = torch.float32
    device = "cpu"

pipe = DiffusionPipeline.from_pretrained(model_name, torch_dtype=torch_dtype)
pipe = pipe.to(device)

# Load LoRA weights
pipe.load_lora_weights('valiantcat/Qwen-Image-Shentianyongmei-LoRA/qwen_image_eva.safetensors', adapter_name="lora")

prompt = '''mrx, The image depicts a young female character with long, reddish-brown hair tied in twin tails, wearing a traditional Japanese yukata. She is seated indoors, likely on a tatami mat, enjoying a slice of watermelon. The setting suggests a tranquil environment, possibly a ryokan or a home with Japanese architectural elements such as sliding doors and paper windows. The presence of a lantern indicates it might be late afternoon or early evening. In the background, through the open door, one can see a serene outdoor scene with greenery and a clear sky, which adds to the overall peaceful ambiance of the scene. This image could evoke feelings of relaxation and leisure, often associated with summer holidays in Japan.   '''
negative_prompt =  " "
image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=1024,
    height=1024,
    num_inference_steps=50,
    true_cfg_scale=5,
    generator=torch.Generator(device="cuda").manual_seed(123456)
)
image = image.images[0]

image.save("output.png")

## Download model

Weights for this model are available in Safetensors format.

[Download](https://huggingface.co/valiantcat/Qwen-Image-EVA-LoRA)

## Training at Chongqing Valiant Cat

This model was trained by the AI Laboratory of Chongqing Valiant Cat Technology Co., LTD(

## Download model

Weights for this model are available in Safetensors format.

[Download](https://huggingface.co/valiantcat/Qwen-Image-EVA-LoRA)

## Training at Chongqing Valiant Cat

This model was trained by the AI Laboratory of Chongqing Valiant Cat Technology Co., LTD(

## Download model

Weights for this model are available in Safetensors format.

[Download](https://huggingface.co/valiantcat/Qwen-Image-EVA-LoRA)

## Training at Chongqing Valiant Cat

This model was trained by the AI Laboratory of Chongqing Valiant Cat Technology Co., LTD(

## Download model

Weights for this model are available in Safetensors format.

[Download](https://huggingface.co/valiantcat/Qwen-Image-EVA-LoRA)

## Training at Chongqing Valiant Cat

This model was trained by the AI Laboratory of Chongqing Valiant Cat Technology Co., LTD(

## Download model

Weights for this model are available in Safetensors format.

[Download](https://huggingface.co/valiantcat/Qwen-Image-EVA-LoRA)

## Training at Chongqing Valiant Cat

This model was trained by the AI Laboratory of Chongqing Valiant Cat Technology Co., LTD(

## Download model

Weights for this model are available in Safetensors format.

[Download](https://huggingface.co/valiantcat/Qwen-Image-EVA-LoRA)

## Training at Chongqing Valiant Cat

This model was trained by the AI Laboratory of Chongqing Valiant Cat Technology Co., LTD(

## Download model

Weights for this model are available in Safetensors format.

[Download](https://huggingface.co/valiantcat/Qwen-Image-EVA-LoRA)

## Training at Chongqing Valiant Cat

This model was trained by the AI Laboratory of Chongqing Valiant Cat Technology Co., LTD(

## Download model

Weights for this model are available in Safetensors format.

[Download](https://huggingface.co/valiantcat/Qwen-Image-EVA-LoRA)

## Training at Chongqing Valiant Cat

This model was trained by the AI Laboratory of Chongqing Valiant Cat Technology Co., LTD(

## Download model

Weights for this model are available in Safetensors format.

[Download](https://huggingface.co/valiantcat/Qwen-Image-EVA-LoRA)

## Training at Chongqing Valiant Cat

This model was trained by the AI Laboratory of Chongqing Valiant Cat Technology Co., LTD(

## Download model

Weights for this model are available in Safetensors format.

[Download](https://huggingface.co/valiantcat/Qwen-Image-EVA-LoRA)

## Training at Chongqing Valiant Cat

This model was trained by the AI Laboratory of Chongqing Valiant Cat Technology Co., LTD(

## Download model

Weights for this model are available in Safetensors format.

[Download](https://huggingface.co/valiantcat/Qwen-Image-EVA-LoRA)

## Training at Chongqing Valiant Cat

This model was trained by the AI Laboratory of Chongqing Valiant Cat Technology Co., LTD(

## Download model

Weights for this model are available in Safetensors format.

[Download](https://huggingface.co/valiantcat/Qwen-Image-EVA-LoRA)

## Training at Chongqing Valiant Cat

This model was trained by the AI Laboratory of Chongqing Valiant Cat Technology Co., LTD(

## Download model

Weights for this model are available in Safetensors format.

[Download](https://huggingface.co/valiantcat/Qwen-Image-EVA-LoRA)

## Training at Chongqing Valiant Cat

This model was trained by the AI Laboratory of Chongqing Valiant Cat Technology Co., LTD(

## Download model

Weights for this model are available in Safetensors format.

[Download](https://huggingface.co/valiantcat/Qwen-Image-EVA-LoRA)

## Training at Chongqing Valiant Cat

This model was trained by the AI Laboratory of Chongqing Valiant Cat Technology Co., LTD(

## Download model

Weights for this model are available in Safetensors format.

[Download](https://huggingface.co/valiantcat/Qwen-Image-EVA-LoRA)

## Training at Chongqing Valiant Cat

This model was trained by the AI Laboratory of Chongqing Valiant Cat Technology Co., LTD(

## Download model

Weights for this model are available in Safetensors format.

[Download](https://huggingface.co/valiantcat/Qwen-Image-EVA-LoRA)

## Training at Chongqing Valiant Cat

This model was trained by the AI Laboratory of Chongqing Valiant Cat Technology Co., LTD(

## Download model

Weights for this model are available in Safetensors format.

[Download](https://huggingface.co/valiantcat/Qwen-Image-EVA-LoRA)

## Training at Chongqing Valiant Cat

This model was trained by the AI Laboratory of Chongqing Valiant Cat Technology Co., LTD(

## Download model

Weights for this model are available in Safetensors format.

[Download](https://huggingface.co/valiantcat/Qwen-Image-EVA-LoRA)

## Training at Chongqing Valiant Cat

This model was trained by the AI Laboratory of Chongqing Valiant Cat Technology Co., LTD(

## Download model

Weights for this model are available in Safetensors format.

[Download](https://huggingface.co/valiantcat/Qwen-Image-EVA-LoRA)

## Training at Chongqing Valiant Cat

This model was trained by the AI Laboratory of Chongqing Valiant Cat Technology Co., LTD(

## Download model

Weights for this model are available in Safetensors format.

[Download](https://huggingface.co/valiantcat/Qwen-Image-EVA-LoRA)

## Training at Chongqing Valiant Cat

This model was trained by the AI Laboratory of Chongqing Valiant Cat Technology Co., LTD(

## Download model

Weights for this model are available in Safetensors format.

[Download](https://huggingface.co/valiantcat/Qwen-Image-EVA-LoRA)

## Training at Chongqing Valiant Cat

This model was trained by the AI Laboratory of Chongqing Valiant Cat Technology Co., LTD(

## Download model

Weights for this model are available in Safetensors format.

[Download](https://huggingface.co/valiantcat/Qwen-Image-EVA-LoRA)

## Training at Chongqing Valiant Cat

This model was trained by the AI Laboratory of Chongqing Valiant Cat Technology Co., LTD(

## Download model

Weights for this model are available in Safetensors format.

[Download](https://huggingface.co/valiantcat/Qwen-Image-EVA-LoRA)

## Training at Chongqing Valiant Cat

This model was trained by the AI Laboratory of Chongqing Valiant Cat Technology Co., LTD(