MiniDiffusion Models
Collection
All Models in the MiniDiffusion Series • 2 items • Updated • 1
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("GamerC0der/MiniDiffusion1")
prompt = "Dog, Realistic, 4k, 8k"
image = pipe(prompt).images[0]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 them in the Files & versions tab.
Use Via Code!!!
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))
- Downloads last month
- 6
Model tree for GamerC0der/MiniDiffusion1
Base model
runwayml/stable-diffusion-v1-5