--- base_model: black-forest-labs/FLUX.1-dev library_name: diffusers license: openrail++ tags: - text-to-image - 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 ## 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")