# Import necessary libraries from diffusers import StableDiffusionPipeline impor

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# Import necessary libraries from diffusers import StableDiffusionPipeline import torch from PIL import Image # Load the Stable Diffusion model pipe = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", torch_dtype=torch.float16) pipe = pipe.to("cuda") # Define the prompt prompt = ( "A 4 Latin-Romani woman on the planet Venus, standing in a Flamenco dance pose. She is barefoot, and her body is adorned with erotic lingerie made of roses in various shades of red, " "as if the flowers were made of silk instead of fabric. The lingerie intricately covers her intimate areas, with petals in shades such as IndianRed, LightCoral, Salmon, DarkSalmon, LightSalmon, Crimson, Red, FireBrick, and DarkRed. " "Her long hair is braided into a plait, and a hairpin shaped like the Bitcoin logo is attached to the braid. She has a large nose, thin lips, and a naive yet wise expression. " "A yellow banana, with the color HEX #FFFF00, is placed in her mouth, adding a contrasting element. Nearby, a flamingo is present, enhancing the scene's surreal and otherworldly atmosphere." ) # Configuration settings guidance_scale = 8.5 # Guidance scale for strong adherence to the prompt num_inference_steps = 50 # Number of diffusion steps for generating details height = 768 # Height of the generated image width = 768 # Width of the generated image seed = 12345 # Seed for reproducibility # Generate the image with torch.no_grad(): generator = torch.manual_seed(seed) image = pipe( prompt=prompt, guidance_scale=guidance_scale, num_inference_steps=num_inference_steps, height=height, width=width, generator=generator ).images[0] # Save the generated image image.save("latin_romani_venus.png") print("Digital painting of Latina-Romani Venus generated and saved as 'latin_romani_venus.png'.")

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HelgaBlue

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Remix

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# Import necessary libraries from diffusers import StableDiffusionPipeline import torch from PIL import Image # Load the Stable Diffusion model pipe = StableDiffusionPipeline . from_pretrained("CompVis/stable-diffusion-v1-4" , torch_dtype=torch . float16) pipe = pipe . to("cuda") # Define the prompt prompt = ( "A 4 Latin-Romani woman on the planet Venus , standing in a Flamenco dance pose . She is barefoot , and her body is adorned with erotic lingerie made of roses in various shades of red , " "as if the flowers were made of silk instead of fabric . The lingerie intricately covers her intimate areas , with petals in shades such as IndianRed , LightCoral , Salmon , DarkSalmon , LightSalmon , Crimson , Red , FireBrick , and DarkRed . " "Her long hair is braided into a plait , and a hairpin shaped like the Bitcoin logo is attached to the braid . She has a large nose , thin lips , and a naive yet wise expression . " "A yellow banana , with the color HEX #FFFF00 , is placed in her mouth , adding a contrasting element . Nearby , a flamingo is present , enhancing the scene's surreal and otherworldly atmosphere . " ) # Configuration settings guidance_scale = 8 . 5 # Guidance scale for strong adherence to the prompt num_inference_steps = 50 # Number of diffusion steps for generating details height = 768 # Height of the generated image width = 768 # Width of the generated image seed = 12345 # Seed for reproducibility # Generate the image with torch . no_grad(): generator = torch . manual_seed(seed) image = pipe( prompt=prompt , guidance_scale=guidance_scale , num_inference_steps=num_inference_steps , height=height , width=width , generator=generator ) . images[0] # Save the generated image image . save("latin_romani_venus . png") print("Digital painting of Latina-Romani Venus generated and saved as 'latin_romani_venus . png' . ")

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# Import necessary libraries from diffusers import StableDiffusionPipeline import torch from PIL import Image # Load the Stable Diffusion model pipe = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", torch_dtype=torch.float16) pipe = pipe.to("cuda") # Define the prompt prompt = ( "A 4 Latin-Romani woman on the planet Venus, standing in a Flamenco dance pose. She is barefoot, and her body is adorned with erotic lingerie made of roses in various shades of red, " "as if the flowers were made of silk instead of fabric. The lingerie intricately covers her intimate areas, with petals in shades such as IndianRed, LightCoral, Salmon, DarkSalmon, LightSalmon, Crimson, Red, FireBrick, and DarkRed. " "Her long hair is braided into a plait, and a hairpin shaped like the Bitcoin logo is attached to the braid. She has a large nose, thin lips, and a naive yet wise expression. " "A yellow banana, with the color HEX #FFFF00, is placed in her mouth, adding a contrasting element. Nearby, a flamingo is present, enhancing the scene's surreal and otherworldly atmosphere." ) # Configuration settings guidance_scale = 8.5 # Guidance scale for strong adherence to the prompt num_inference_steps = 50 # Number of diffusion steps for generating details height = 768 # Height of the generated image width = 768 # Width of the generated image seed = 12345 # Seed for reproducibility # Generate the image with torch.no_grad(): generator = torch.manual_seed(seed) image = pipe( prompt=prompt, guidance_scale=guidance_scale, num_inference_steps=num_inference_steps, height=height, width=width, generator=generator ).images[0] # Save the generated image image.save("latin_romani_venus.png") print("Digital painting of Latina-Romani Venus generated and saved as 'latin_romani_venus.png'.")

CFG Scale

7

Steps

25

Sampler

euler

Seed

180857653

Scheduler

karras

Image Size

688 X 1024

Model

SeaArt Infinity

Generate

Size

688X1024

Date

Aug 25, 2024

Mode

Studio

Type

cell

Checkpoint & LoRA

Checkpoint

SeaArt Infinity

#SeaArt Infinity

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