import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Sourabh2/Human_Face_generator", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
language: en
Example Usage
from diffusers import StableDiffusionPipeline
import torch
model_path = "Sourabh2/Human_Face_generator"
pipe = StableDiffusionPipeline.from_pretrained(model_path, torch_dtype=torch.float16)
pipe.to("cuda")
prompt = "a man with blonde hair and beard"
image = pipe(prompt=prompt).images[0]
image.save("face.png")
Example Output
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