Instructions to use Mike0021/flux-dev-apple-emoji-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Mike0021/flux-dev-apple-emoji-lora with Diffusers:
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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Mike0021/flux-dev-apple-emoji-lora") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| license: other | |
| base_model: black-forest-labs/FLUX.1-dev | |
| tags: | |
| - text-to-image | |
| - diffusers | |
| - lora | |
| - flux | |
| - emoji | |
| - avatar | |
| - apple-style | |
| library_name: diffusers | |
| # Mike0021/flux-dev-apple-emoji-lora | |
| This repository contains LoRA weights for generating clean, centered Apple-style emoji avatars with `emj icon` as the trigger phrase. | |
| The LoRA was trained for research and experimentation on Apple-style emoji assets. It is not affiliated with, endorsed by, or sponsored by Apple. The raw Apple emoji training images are not included in this repository. | |
| ## Usage | |
| ```python | |
| import torch | |
| from diffusers import FluxPipeline | |
| pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16) | |
| pipe.load_lora_weights("Mike0021/flux-dev-apple-emoji-lora", weight_name="pytorch_lora_weights.safetensors") | |
| pipe.enable_model_cpu_offload() | |
| image = pipe( | |
| "emj icon of a smiling dragon, centered on a plain white background", | |
| height=1024, | |
| width=1024, | |
| num_inference_steps=30, | |
| guidance_scale=4.0, | |
| ).images[0] | |
| ``` | |
| ## Training Summary | |
| - Base model: `black-forest-labs/FLUX.1-dev` | |
| - Trigger phrase: `emj icon` | |
| - Dataset: 220 curated Apple emoji image/caption pairs prepared from `iamcal/emoji-data` | |
| - Training images are RGB 512x512 composites on a plain white background | |
| - Captions were metadata-derived per-image captions with the shared `emj` style trigger | |
| ## Samples | |
| The comparison sheet uses avatar-style prompts from the target Hub avatar generator prompt distribution. The right column is `fofr/sdxl-emoji` rendered with the same subject prompts where feasible. | |
|  | |
| ## Limitations | |
| - This model is intended for research and experimentation. | |
| - Apple emoji source assets are Apple IP; review the relevant terms before using derivatives commercially. | |
| - The model may reproduce Apple-like visual conventions and should not be presented as an official Apple model. | |