monster/Qwen-Image-Layered-MRP-MLX
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fix type and add main_dev

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This commit is contained in:
Fabio 2024-08-18 23:31:59 +02:00
parent 68cbaab816
commit c2b600dd9e
2 changed files with 27 additions and 5 deletions
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10
main.py
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@ -4,19 +4,19 @@ import sys
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), 'src')))
from flux_1_schnell.config.config import Config
from flux_1_schnell.flux import Flux1
from flux_1_schnell.flux import Flux1Schnell
from flux_1_schnell.post_processing.image_util import ImageUtil
flux = Flux1("black-forest-labs/FLUX.1-dev", max_sequence_length=512)
flux = Flux1Schnell("black-forest-labs/FLUX.1-schnell")
image = flux.generate_image(
seed=3,
prompt="Luxury food photograph of a birthday cake. In the middle it has three candles shaped like letters spelling the word 'MLX'. It has perfect lighting and a cozy background with big bokeh and shallow depth of field. The mood is a sunset balcony in tuscany. The photo is taken from the side of the cake. The scene is complemented by a warm, inviting light that highlights the textures and colors of the ingredients, giving it an appetizing and elegant look.",
config=Config(
num_inference_steps=20,
num_inference_steps=2,
height=768,
width=1360,
guidance=3.5,
)
)
image.save("image.png")
ImageUtil.save_image(image, "image.png")

22
main_dev.py Normal file
View File

@ -0,0 +1,22 @@
import os
import sys
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), 'src')))
from flux_1_schnell.config.config import Config
from flux_1_schnell.flux import Flux1
flux = Flux1("black-forest-labs/FLUX.1-dev", max_sequence_length=512)
image = flux.generate_image(
seed=3,
prompt="Luxury food photograph of a birthday cake. In the middle it has three candles shaped like letters spelling the word 'MLX'. It has perfect lighting and a cozy background with big bokeh and shallow depth of field. The mood is a sunset balcony in tuscany. The photo is taken from the side of the cake. The scene is complemented by a warm, inviting light that highlights the textures and colors of the ingredients, giving it an appetizing and elegant look.",
config=Config(
num_inference_steps=20,
height=768,
width=1360,
guidance=3.5,
)
)
image.save("image.png")