From stable_diffusion import StableDiffusionPipeline import torch from PIL impor
![from stable_diffusion import StableDiffusionPipeline
import torch
from PIL import Image
# Load the Stable Diffusion model
pipe = StableDiffusionPipeline.from_pretrained("stable-diffusion-v1-4")
pipe = pipe.to("cuda") # Use GPU if available
# Define the detailed collectible card game-style prompt
prompts = {
"cooking_for_bitcoin_whale_card_game": (
"An intense and strategic scene in a collectible card game where a powerful, majestic whale character, wearing a gleaming Bitcoin chain, "
"is the centerpiece of the game board. The whale is depicted as a rare, legendary card with high stats, and the background features "
"an intricate, holographic design that signifies its immense power. "
"Opposing the whale is a beautiful woman, depicted as a cunning and resourceful card with tactical abilities. She is dressed in elegant, "
"yet formidable attire, holding a hand of cards with a sly smile on her face as she prepares to make her move. "
"The game board is a mix of high-tech elements and traditional fantasy motifs, with glowing cards, dynamic effects, and animated avatars "
"representing each player's deck. "
"The scene is filled with tension as both players are locked in a battle of wits, each move potentially turning the tide of the game. "
"The overall atmosphere is one of strategy, anticipation, and high-stakes competition, typical of a collectible card game where every decision counts."
)
}
# Generate the image for the prompt
for name, prompt in prompts.items():
# Generate the image using the prompt
image = pipe(prompt).images[0]
# Save the generated image
filename = f"{name.lower().replace(' ', '_')}.png"
image.save(filename)
print(f"Saved image: {filename}")
# Optionally, show the generated image
image.show()](https://image.cdn2.seaart.me/2024-08-31/cr9e3vte878c73c8as70-1/eec1ae349ee02be41b5bf050f6fe1c10_high.webp)
Generation Data
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Prompts
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from stable_diffusion import StableDiffusionPipeline
import torch
from PIL import Image
# Load the Stable Diffusion model
pipe = StableDiffusionPipeline
.
from_pretrained("stable-diffusion-v1-4")
pipe = pipe
.
to("cuda") # Use GPU if available
# Define the detailed collectible card game-style prompt
prompts = {
"cooking_for_bitcoin_whale_card_game": (
"An intense and strategic scene in a collectible card game where a powerful
,
majestic whale character
,
wearing a gleaming Bitcoin chain
,
"
"is the centerpiece of the game board
.
The whale is depicted as a rare
,
legendary card with high stats
,
and the background features "
"an intricate
,
holographic design that signifies its immense power
.
"
"Opposing the whale is a beautiful woman
,
depicted as a cunning and resourceful card with tactical abilities
.
She is dressed in elegant
,
"
"yet formidable attire
,
holding a hand of cards with a sly smile on her face as she prepares to make her move
.
"
"The game board is a mix of high-tech elements and traditional fantasy motifs
,
with glowing cards
,
dynamic effects
,
and animated avatars "
"representing each player's deck
.
"
"The scene is filled with tension as both players are locked in a battle of wits
,
each move potentially turning the tide of the game
.
"
"The overall atmosphere is one of strategy
,
anticipation
,
and high-stakes competition
,
typical of a collectible card game where every decision counts
.
"
)
}
# Generate the image for the prompt
for name
,
prompt in prompts
.
items():
# Generate the image using the prompt
image = pipe(prompt)
.
images[0]
# Save the generated image
filename = f"{name
.
lower()
.
replace(' '
,
'_')}
.
png"
image
.
save(filename)
print(f"Saved image: {filename}")
# Optionally
,
show the generated image
image
.
show()
INFO
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