Instructions to use lilylilith/FLUX.3_Klein_FontBox with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lilylilith/FLUX.3_Klein_FontBox with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/flux-3-image-klein", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("lilylilith/FLUX.3_Klein_FontBox") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Initial writing of readme
Browse files
README.md
CHANGED
|
@@ -1,3 +1,24 @@
|
|
| 1 |
---
|
| 2 |
license: apache-2.0
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 3 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
---
|
| 2 |
license: apache-2.0
|
| 3 |
+
base_model:
|
| 4 |
+
- black-forest-labs/flux-3-image-klein
|
| 5 |
+
tags:
|
| 6 |
+
- Klein
|
| 7 |
+
- LoRA
|
| 8 |
+
- LoRA Adapter
|
| 9 |
+
- Font
|
| 10 |
+
- FLUX.3-Klein
|
| 11 |
+
pipeline_tag: image-to-image
|
| 12 |
+
library_name: diffusers
|
| 13 |
---
|
| 14 |
+
|
| 15 |
+
<h1 align="center">Towards Manipulating AI Text Controllably (Experimental LoRA) </h1>
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
<p>
|
| 19 |
+
<p align="center">
|
| 20 |
+
<a href="https://civitai.com/user/lilylilith"><b>Civitai</b></a>   |   ☕️ <a href="https://ko-fi.com/lilllithhhhh">Ko-fi (support my work)</a>  
|
| 21 |
+
|
| 22 |
+
# Introduction
|
| 23 |
+
|
| 24 |
+
Text has been an area in AI image generation that has been its weak point for the longest time. For a while, mangled, unreadable text was the norm; but nowadays we have both frontier models like NanoBanana or GPT Sunburst and local models like MOSS-Image, Qwen-Image-2.1, or Ideogram 4.0 that can handle text perfectly. Yet, even though these models excel at rendering text, none of these models are very good at manipulating text in a professional manner.
|