Update README.md

README.md

@@ -1,14 +1,51 @@
 ---
-license: openrail++
-base_model:
-- black-forest-labs/FLUX.1-dev
+base_model: black-forest-labs/FLUX.1-dev
 library_name: diffusers
+license: openrail++
 tags:
-- flux
 - text-to-image
-- text-to-image
-- safetensors
-- fluxPipeline
-- image-generation
+- diffusers-training
 - diffusers
----
+- lora
+- fine-tuned
+- template:sd-lora
+instance_prompt: a photo of sks charctrbwy
+widget:
+- text: A photo of sks charctrbwy
+  output:
+    url: image_0.png
+- text: sks charctrbwy in a futuristic setting
+  output:
+    url: image_1.png
+- text: Portrait of sks charctrbwy wearing medieval attire
+  output:
+    url: image_2.png
+---
+
+# FLUX.1-dev LoRA Fine-Tuning - shahin-canary/charctrbwy
+
+<Gallery />
+
+## Model Description
+
+This is a fine-tuned LoRA adaptation of the `black-forest-labs/FLUX.1-dev` model, created for generating images of the character **sks charctrbwy**. This model is capable of generating high-quality, customizable images based on text prompts. The fine-tuning process was performed using [DreamBooth](https://dreambooth.github.io/) and was trained to accurately represent `sks charctrbwy` in various contexts and settings.
+
+## Trigger Words
+
+To generate images, use the phrase “a photo of sks charctrbwy” as a prompt starter. Customize prompts with additional context for varied results (e.g., "sks charctrbwy in a serene landscape").
+
+## How to Use
+
+To use this model in your code, install the `diffusers` library and set up the pipeline as shown below:
+
+```python
+from diffusers import StableDiffusionPipeline
+import torch
+
+model_id = "shahin-canary/charctrbwy"
+pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
+pipe = pipe.to("cuda")
+
+prompt = "A photo of sks charctrbwy in a mystical forest"
+image = pipe(prompt).images[0]
+image.save("output.png")