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"Given an input image of a person, the goal is to generate a new image where the person's body or clothing is changed, while ensuring that the original face remains intact. The model should utilize the Stable Diffusion img2img technique, combining time-based diffusion with an image generator powered by deep learning. The model should be trained on a dataset comprising various images of people with different body poses and clothing styles. By separating the image into layers and isolating the face, the model can focus on modifying the body or clothing layers while preserving the original face. To achieve this, the model should leverage a generative neural network, such as a convolutional neural network (CNN), trained through supervised or unsupervised learning methods. It should use a loss function, such as content loss or perceptual loss, to guide the generation process and ensure the generated images are faithful to the target image. Optimization algorithms like stochastic gradient descent can be employed to fine-tune the generator model's parameters and minimize the loss function during the image generation process. The ultimate objective is to generate realistic and visually appealing images where the person's body or clothing has changed, but the original face remains intact." I hope this prompt helps you in describing your requirements for generating an image with the specified attributes.

David Tarjetas

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"Given an input image of a person, the goal is to generate a new image where the person's body or clothing is changed, while ensuring that the original face remains intact. The model should utilize the Stable Diffusion img2img technique, combining time-based diffusion with an image generator powered by deep learning. The model should be trained on a dataset comprising various images of people with different body poses and clothing styles. By separating the image into layers and isolating the face, the model can focus on modifying the body or clothing layers while preserving the original face. To achieve this, the model should leverage a generative neural network, such as a convolutional neural network (CNN), trained through supervised or unsupervised learning methods. It should use a loss function, such as content loss or perceptual loss, to guide the generation process and ensure the generated images are faithful to the target image. Optimization algorithms like stochastic gradient descent can be employed to fine-tune the generator model's parameters and minimize the loss function during the image generation process. The ultimate objective is to generate realistic and visually appealing images where the person's body or clothing has changed, but the original face remains intact." I hope this prompt helps you in describing your requirements for generating an image with the specified attributes.

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Prompts

"Given an input image of a person, the goal is to generate a new image where the person's body or clothing is changed, while ensuring that the original face remains intact. The model should utilize the Stable Diffusion img2img technique, combining time-based diffusion with an image generator powered by deep learning. The model should be trained on a dataset comprising various images of people with different body poses and clothing styles. By separating the image into layers and isolating the face, the model can focus on modifying the body or clothing layers while preserving the original face. To achieve this, the model should leverage a generative neural network, such as a convolutional neural network (CNN), trained through supervised or unsupervised learning methods. It should use a loss function, such as content loss or perceptual loss, to guide the generation process and ensure the generated images are faithful to the target image. Optimization algorithms like stochastic gradient descent can be employed to fine-tune the generator model's parameters and minimize the loss function during the image generation process. The ultimate objective is to generate realistic and visually appealing images where the person's body or clothing has changed, but the original face remains intact." I hope this prompt helps you in describing your requirements for generating an image with the specified attributes.

Negative Prompts

verybadimagenegative_v1.3, ng_deepnegative_v1_75t, (ugly face:0.8),cross-eyed,sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, bad anatomy, DeepNegative, facing away, tilted head, {Multiple people}, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worstquality, low quality, normal quality, jpegartifacts, signature, watermark, username, blurry, bad feet, cropped, poorly drawn hands, poorly drawn face, mutation, deformed, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, extra fingers, fewer digits, extra limbs, extra arms,extra legs, malformed limbs, fused fingers, too many fingers, long neck, cross-eyed,mutated hands, polar lowres, bad body, bad proportions, gross proportions, text, error, missing fingers, missing arms, missing legs, extra digit, extra arms, extra leg, extra foot, ((repeating hair))

CFG Scale

7

Steps

20

Sampler

Euler a

Seed

1478737315

Clip Skip

1

Image Size

512 X 768

Denoising Strength

0.2

Model

ReV Animated

Generate

Size

1024X1536

Date

Sep 13, 2023

Mode

Default

Type

upscale

Checkpoint & LoRA

Checkpoint

ReV Animated

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