Text To Image

safety_checker/pytorch_model.bin

bin · 1,13 GB · SHA-256 193490b58ef6…0974 · Hugging Face

--- license: openrail++ library_name: diffusers tags: - text-to-image - diffusers-training - diffusers - lora - template:sd-lora - stable-diffusion-xl - stable-diffusion-xl-diffusers base_model: stabilityai/stable-diffusion-xl-base-1.0 instance_prompt: a photo of TOK dog widget: - text: Draw a picture of two female boxers fighting each other. output: url: images/example_9xsyd09gw.png datasets: - ZB-Tech/DreamXL language: - en --- <!-- This model card has been generated automatically according to the information the training script had access to. You should probably proofread and complete it, then remove this comment. --> # SDXL LoRA Fine-tuning - ZB-Tech/Text-To-Image <Gallery /> ## Model description These are ZB-Tech/Text-to-Image LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. LoRA for the text encoder was enabled: False. Special VAE used for training: madebyollin/sdxl-vae-fp16-fix. ##### How to use ```python import requests API_URL = "https://api-inference.huggingface.co/models/ZB-Tech/Text-to-Image" headers = {"Authorization": "Bearer HF_API_KEY"} def query(payload): response = requests.post(API_URL, headers=headers, json=payload) return response.content image_bytes = query({ "inputs": "Astronaut riding a horse", }) # You can access the image with PIL.Image for example import io from PIL import Image image = Image.open(io.BytesIO(image_bytes)) ``` ## Download model Weights for this model are available in Safetensors format. [Download](suryasuri/Surya/tree/main) them in the Files & versions tab.