| --- |
| 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)) |
| ``` |
|
|
