Rename yaml to README.md

yaml → README.md

@@ -11,29 +11,30 @@ tags:
 - replicate
 base_model: "black-forest-labs/FLUX.1-dev"
 pipeline_tag: text-to-image
-# widget:
-#   - text: >-
-#       prompt
-#     output:
-#       url: https://...
 instance_prompt: sectorSaveBox
 ---
 
-# Sectorsavebox
+# SectorSaveBox
 
 <Gallery />
 
 ## About this LoRA
 
-This is a [LoRA](https://replicate.com/docs/guides/working-with-loras) for the FLUX.1-dev text-to-image model. It can be used with diffusers or ComfyUI.
-
-It was trained on [Replicate](https://replicate.com/) using AI toolkit: https://replicate.com/ostris/flux-dev-lora-trainer/train
+This is a [LoRA](https://replicate.com/docs/guides/working-with-loras) for the FLUX.1-dev text-to-image model. It can be used with diffusers, ComfyUI, or Replicate.
 
+It was trained on [Replicate](https://replicate.com/) using AI toolkit: [ostris/flux-dev-lora-trainer](https://replicate.com/ostris/flux-dev-lora-trainer/train)
 
 ## Trigger words
 
 You should use `sectorSaveBox` to trigger the image generation.
 
+## Prompting Tips
+
+You can combine it with environments, lighting styles, or action verbs. Examples:
+
+- `sectorSaveBox, on a white wall, close-up product photo`
+- `sectorSaveBox, a person holding the device indoors`
+- `sectorSaveBox, studio-lit product showcase`
 
 ## Run this LoRA with an API using Replicate
 
@@ -52,29 +53,20 @@ output = replicate.run(
 for index, item in enumerate(output):
     with open(f"output_{index}.webp", "wb") as file:
         file.write(item.read())
-```
-
-## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
 
-```py
 from diffusers import AutoPipelineForText2Image
 import torch
 
 pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
 pipeline.load_lora_weights('KAPPA66/sectorSaveBox', weight_name='lora.safetensors')
 image = pipeline('sectorSaveBox').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)
-
 
 ## Training details
 
-- Steps: 1000
-- Learning rate: 0.0004
-- LoRA rank: 16
-
+- Steps: 1000  
+- Learning rate: 0.0004  
+- LoRA rank: 16  
 
 ## Contribute your own examples
 
-You can use the [community tab](https://huggingface.co/KAPPA66/sectorSaveBox/discussions) to add images that show off what you’ve made with this LoRA.
+Use the [community tab](https://huggingface.co/KAPPA66/sectorSaveBox/discussions) to share images you've made with this LoRA.