How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("krprmf/KEPTJAI-Anticipation")

prompt = "Create a cartoon-style <<COLOR>> -colored <<CHARACTER>> character that represents the emotional tone of the following <<DIARY ENTRY>>. Use the character as a \"mood agent\" with traits that align with the mood described in <<MOOD>>. Ensure the character’s design, pose, expression, and background align with the diary's mood and location. The background must correspond to <<LOCATION>>.   <<COLOR>> : Orange <<CHARACTER>>: Fox <<DIARY ENTRY>>: My entrance exam results are coming out soon and I check the website every day. <<MOOD>>: Anticipation <<LOCATION>>: Dormitory room or computer station in the library"
image = pipe(prompt).images[0]

Lora-diffusion_Anticipation

Prompt
Create a cartoon-style <<COLOR>> -colored <<CHARACTER>> character that represents the emotional tone of the following <<DIARY ENTRY>>. Use the character as a "mood agent" with traits that align with the mood described in <<MOOD>>. Ensure the character’s design, pose, expression, and background align with the diary's mood and location. The background must correspond to <<LOCATION>>. <<COLOR>> : Orange <<CHARACTER>>: Fox <<DIARY ENTRY>>: My entrance exam results are coming out soon and I check the website every day. <<MOOD>>: Anticipation <<LOCATION>>: Dormitory room or computer station in the library

Model description

Lora-diffusion for mood character in anticipation mood

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Weights for this model are available in Safetensors format.

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