|
|
--- |
|
|
tags: |
|
|
- text-to-image |
|
|
- stable-diffusion |
|
|
- lora |
|
|
- diffusers |
|
|
- template:sd-lora |
|
|
widget: |
|
|
- text: Dog, Realistic, 4k, 8k |
|
|
base_model: runwayml/stable-diffusion-v1-5 |
|
|
instance_prompt: null |
|
|
license: unknown |
|
|
--- |
|
|
# MiniDiffusion 1 |
|
|
|
|
|
## Model description |
|
|
|
|
|
Welcome to MiniDiffusion 1! |
|
|
My first ever model! |
|
|
Try it now! |
|
|
|
|
|
|
|
|
## Download model |
|
|
|
|
|
Weights for this model are available in Safetensors format. |
|
|
|
|
|
[Download](/GamerC0der/MiniDiffusion1/tree/main) them in the Files & versions tab. |
|
|
|
|
|
## Use Via Code!!! |
|
|
```python |
|
|
import requests |
|
|
|
|
|
API_URL = "https://api-inference.huggingface.co/models/GamerC0der/MiniDiffusion1" |
|
|
headers = {"Authorization": "Bearer INSERTKEYHERE"} |
|
|
|
|
|
def query(payload): |
|
|
response = requests.post(API_URL, headers=headers, json=payload) |
|
|
return response.content |
|
|
image_bytes = query({ |
|
|
"inputs": prompthere, |
|
|
}) |
|
|
# You can access the image with PIL.Image for example |
|
|
import io |
|
|
from PIL import Image |
|
|
image = Image.open(io.BytesIO(image_bytes)) |
|
|
``` |
|
|
|
