Update README.md

README.md

@@ -72,33 +72,38 @@ The Flux Ghibsky Illustration model generates landscapes that blend serene, surr
 
 Use `GHIBSKY style` to invoke the model’s unique aesthetic. It’s best to start your prompt with the trigger word, followed by descriptions of your scene, such as nature, skies, houses, roads, villages, etc.
 
-If you are getting too realistic images try adding `painting` to your prompt, for example: `GHIBSKY style painting`
+If you are getting too realistic images, try adding `painting` to your prompt, for example: `GHIBSKY style painting`.
 
 ## Training Details
 
-- **Trained Using**: [ostris/flux-dev-lora-trainer](https://replicate.com/ostris/flux-dev-lora-trainer/train)
-- **Number of Images**: 35
-- **Trigger Word**: GHIBSKY
-- **Auto-captioning**: Enabled
-- **Auto-captioning Prefix**: “”
-- **Auto-captioning Suffix**: “, GHIBSKY style”
-- **Training Steps**: 1000
-- **Learning Rate**: 0.0004
-- **Batch Size**: 1
-- **LoRA Rank**: 16
+- **Trained Using**: [Flux LoRA Fast Training on fal.ai](https://fal.ai/models/fal-ai/flux-lora-fast-training) and [Flux LoRA Trainer on Replicate](https://replicate.com/ostris/flux-dev-lora-trainer/train)  
+- **Number of Images**: 35  
+- **Trigger Word**: `GHIBSKY`  
+- **Auto-captioning**: Enabled  
+- **Auto-captioning Prefix**: `""`  
+- **Auto-captioning Suffix**: `", GHIBSKY style"`  
+- **Training Steps**: 1000  
+- **Learning Rate**: 0.0004  
+- **Batch Size**: 1  
+- **LoRA Rank**: 16  
 
 ## Download Model
 
 [Download the *.safetensors LoRA](https://huggingface.co/aleksa-codes/flux-ghibsky-illustration/tree/main) in the Files & versions tab.
 
+## Related Tools
+
+For streamlined dataset preparation, you can try an open-source tool that I made [GPT Image Captioner](https://gptcaptioner.aleksa.io/), a tool designed to generate AI-powered captions for images. This tool simplifies the auto-captioning process, providing a downloadable zip file with captions formatted for training pipelines. It is compatible with tools such as [fal LoRA Trainer](https://fal.ai/models/fal-ai/flux-lora-fast-training) and [Replicate LoRA Trainer](https://replicate.com/ostris/flux-dev-lora-trainer/train), enabling seamless integration into workflows. Users are required to bring their own OpenAI API key for usage.
+
 ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
 
-```py
+```python
 from diffusers import AutoPipelineForText2Image
 import torch
 pipeline = AutoPipelineForText2Image.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16).to('cuda')
 pipeline.load_lora_weights('aleksa-codes/flux-ghibsky-illustration', weight_name='lora.safetensors')
 image = pipeline('GHIBSKY style, a serene lakeside village with colorful houses and towering mountains under a dreamy sky').images[0]
+
 ```
 
 For more details, including weighting, merging, and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters).