Positive : A realistic photo of an Asian-British mixed-race female model with a curvy body. She has a beautiful blend of Asian and British facial features, medium-length dark hair, and a confident smile. She is dressed in trendy, fashionable clothing suitable for different scenes. The background varies, including urban cityscapes, cozy indoor settings, and natural outdoor environments. The model is posing naturally, showcasing different outfits and expressions.
Negative : Avoid overly exaggerated features, cartoonish styles, unrealistic proportions, or any artificial-looking elements. Ensure the background and lighting are realistic and natural. No inappropriate or revealing clothing, and avoid monotonous or repetitive backgrounds.
Fine Tune : from diffusers import StableDiffusionPipeline
model_id = "CompVis/stable-diffusion-v1-4"
pipe = StableDiffusionPipeline.from_pretrained(model_id).to("cuda")
prompt = "A realistic photo of an Asian-British mixed-race female model with a curvy body. She has a beautiful blend of Asian and British facial features, medium-length dark hair, and a confident smile. She is dressed in trendy, fashionable clothing suitable for different scenes. The background varies, including urban cityscapes, cozy indoor settings, and natural outdoor environments. The model is posing naturally, showcasing different outfits and expressions."
negative_prompt = "Avoid overly exaggerated features, cartoonish styles, unrealistic proportions, or any artificial-looking elements. Ensure the background and lighting are realistic and natural. No inappropriate or revealing clothing, and avoid monotonous or repetitive backgrounds."
result = pipe(prompt, negative_prompt=negative_prompt, num_inference_steps=50)
image = result.images[0]
image.save("output.png")
INFO
Prompts
Positive : A realistic photo of an Asian-British mixed-race female model with a curvy body. She has a beautiful blend of Asian and British facial features, medium-length dark hair, and a confident smile. She is dressed in trendy, fashionable clothing suitable for different scenes. The background varies, including urban cityscapes, cozy indoor settings, and natural outdoor environments. The model is posing naturally, showcasing different outfits and expressions.
Negative : Avoid overly exaggerated features, cartoonish styles, unrealistic proportions, or any artificial-looking elements. Ensure the background and lighting are realistic and natural. No inappropriate or revealing clothing, and avoid monotonous or repetitive backgrounds.
Fine Tune : from diffusers import StableDiffusionPipeline
model_id = "CompVis/stable-diffusion-v1-4"
pipe = StableDiffusionPipeline.from_pretrained(model_id).to("cuda")
prompt = "A realistic photo of an Asian-British mixed-race female model with a curvy body. She has a beautiful blend of Asian and British facial features, medium-length dark hair, and a confident smile. She is dressed in trendy, fashionable clothing suitable for different scenes. The background varies, including urban cityscapes, cozy indoor settings, and natural outdoor environments. The model is posing naturally, showcasing different outfits and expressions."
negative_prompt = "Avoid overly exaggerated features, cartoonish styles, unrealistic proportions, or any artificial-looking elements. Ensure the background and lighting are realistic and natural. No inappropriate or revealing clothing, and avoid monotonous or repetitive backgrounds."
result = pipe(prompt, negative_prompt=negative_prompt, num_inference_steps=50)
image = result.images[0]
image.save("output.png")
![Positive : A realistic photo of an Asian-British mixed-race female model with a curvy body. She has a beautiful blend of Asian and British facial features, medium-length dark hair, and a confident smile. She is dressed in trendy, fashionable clothing suitable for different scenes. The background varies, including urban cityscapes, cozy indoor settings, and natural outdoor environments. The model is posing naturally, showcasing different outfits and expressions.
Negative : Avoid overly exaggerated features, cartoonish styles, unrealistic proportions, or any artificial-looking elements. Ensure the background and lighting are realistic and natural. No inappropriate or revealing clothing, and avoid monotonous or repetitive backgrounds.
Fine Tune : from diffusers import StableDiffusionPipeline
model_id = "CompVis/stable-diffusion-v1-4"
pipe = StableDiffusionPipeline.from_pretrained(model_id).to("cuda")
prompt = "A realistic photo of an Asian-British mixed-race female model with a curvy body. She has a beautiful blend of Asian and British facial features, medium-length dark hair, and a confident smile. She is dressed in trendy, fashionable clothing suitable for different scenes. The background varies, including urban cityscapes, cozy indoor settings, and natural outdoor environments. The model is posing naturally, showcasing different outfits and expressions."
negative_prompt = "Avoid overly exaggerated features, cartoonish styles, unrealistic proportions, or any artificial-looking elements. Ensure the background and lighting are realistic and natural. No inappropriate or revealing clothing, and avoid monotonous or repetitive backgrounds."
result = pipe(prompt, negative_prompt=negative_prompt, num_inference_steps=50)
image = result.images[0]
image.save("output.png")](/_nuxt/img/nsfw_lang.0ab0aaa.webp)
Positive : A realistic photo of an Asian-British mixed-race female model with a curvy body. She has a beautiful blend of Asian and British facial features, medium-length dark hair, and a confident smile. She is dressed in trendy, fashionable clothing suitable for different scenes. The background varies, including urban cityscapes, cozy indoor settings, and natural outdoor environments. The model is posing naturally, showcasing different outfits and expressions. Negative : Avoid overly exaggerated features, cartoonish styles, unrealistic proportions, or any artificial-looking elements. Ensure the background and lighting are realistic and natural. No inappropriate or revealing clothing, and avoid monotonous or repetitive backgrounds. Fine Tune : from diffusers import StableDiffusionPipeline model_id = "CompVis/stable-diffusion-v1-4" pipe = StableDiffusionPipeline.from_pretrained(model_id).to("cuda") prompt = "A realistic photo of an Asian-British mixed-race female model with a curvy body. She has a beautiful blend of Asian and British facial features, medium-length dark hair, and a confident smile. She is dressed in trendy, fashionable clothing suitable for different scenes. The background varies, including urban cityscapes, cozy indoor settings, and natural outdoor environments. The model is posing naturally, showcasing different outfits and expressions." negative_prompt = "Avoid overly exaggerated features, cartoonish styles, unrealistic proportions, or any artificial-looking elements. Ensure the background and lighting are realistic and natural. No inappropriate or revealing clothing, and avoid monotonous or repetitive backgrounds." result = pipe(prompt, negative_prompt=negative_prompt, num_inference_steps=50) image = result.images[0] image.save("output.png")
Asian-British mixed-race female model