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