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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. |