Import torch from diffusers import StableDiffusionPipeline

import torch
from diffusers import StableDiffusionPipeline

# Load the pre-trained model from Hugging Face Hub (you need to have access)
model_id = "CompVis/stable-diffusion-v1-4"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")

# Define the prompt based on your description
prompt = ("A hunter black cat with glowing blue eyes, wearing leather clothes, "
"a white and blue necklace around its neck. The background is dark and mysterious, "
"showing the full body of the cat from a slight distance in a dark place.")

# Generate the image
image = pipe(prompt, num_inference_steps=50).images[0]

# Save the image
image.save("hunter_black_cat.png")

K

Generation Data

Registro

import torch from diffusers import StableDiffusionPipeline # Load the pre-trained model from Hugging Face Hub (you need to have access) model_id = "CompVis/stable-diffusion-v1-4" pipe = StableDiffusionPipeline . from_pretrained(model_id , torch_dtype=torch . float16) pipe = pipe . to("cuda") # Define the prompt based on your description prompt = ("A hunter black cat with glowing blue eyes , wearing leather clothes , " "a white and blue necklace around its neck . The background is dark and mysterious , " "showing the full body of the cat from a slight distance in a dark place . ") # Generate the image image = pipe(prompt , num_inference_steps=50) . images[0] # Save the image image . save("hunter_black_cat . png")

INFO

Tamanho

683X1024

Data

Jun 23, 2024

Modo

Padrão

Tipo

upscale

Checkpoint & LoRA

CyberRealistic

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