| --- |
| 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. |
