# 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'.")

H

HelgaBlue

متابعة

ريمكس

ريمكس

كلمة التلميح

نسخ

# 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' . ")

معلومات

كلمة التلميح

# 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'.")

مقياس CFG

7

الخطوات

25

جامع

euler

بذرة

619500454

مجدول

karras

حجم الصورة

688 X 1024

نموذج

SeaArt Infinity

خلق

مقاس

688X1024

تاريخ

Aug 25, 2024

الوضع

الاستوديو

النوع

cell

Checkpoint & LoRA

Checkpoint

SeaArt Infinity

#SeaArt Infinity

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