import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("DFloat11/FLUX.1-Kontext-dev-DF11", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Fihade/Apple_Emoji_Style_Kontext_LoRA")
prompt = "Turn it to APPLE_EMOJI, white background"
image = pipe(prompt).images[0]Apple Emoji Style Kontext LoRA
- Prompt
- Turn it to APPLE_EMOJI, white background
- Prompt
- Turn it to APPLE_EMOJI, white background
- Prompt
- Turn it to APPLE_EMOJI, white background
- Prompt
- Turn it to APPLE_EMOJI, white background
- Prompt
- Turn it to APPLE_EMOJI, white background
- Prompt
- Turn it to APPLE_EMOJI, white background
- Prompt
- Turn it to APPLE_EMOJI, white background
- Prompt
- Turn it to APPLE_EMOJI, white background
- Prompt
- Turn it to APPLE_EMOJI, white background
- Prompt
- Turn it to APPLE_EMOJI, white background
- Prompt
- Turn it to APPLE_EMOJI, white background
- Prompt
- Turn it to APPLE_EMOJI, white background
Model description
🎯 Core Model Features Generate a consistent, stylized Emoji character pack starting from a selfie or portrait Automatically detects facial features and blends them with various outfit elements Supports customizable clothing and color schemes for personalized results Outputs high-resolution PNG stickers, ready for social media, quick sharing, or messaging use
trigger words: `Turn it to APPLE_EMOJI, white background`
try the workflow on Tensor.art: https://tensor.art/template/890128318421023581
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Model tree for Fihade/Apple_Emoji_Style_Kontext_LoRA
Base model
black-forest-labs/FLUX.1-Kontext-dev Quantized
DFloat11/FLUX.1-Kontext-dev-DF11