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import torch
from diffusers import DiffusionPipeline
pipeline = DiffusionPipeline.from_pretrained(
"segmind/small-sd",
torch_dtype=torch.float16)
pipeline.to("cuda")
# pipeline.scheduler = DPMSolverMultistepScheduler.from_config(pipeline.scheduler.config, use_karras_sigmas=False)
pipeline("A man staring ahead at the camera with a neutral expression",
num_inference_steps=20,
guidance_scale=7.5).images[0].save("my_image.png")
And this is the result, which is un-natural at all
The text was updated successfully, but these errors were encountered:
I use the model from https://huggingface.co/segmind/small-sd, but i found most of the result generated are poor
So what's wrong with my usage
And this is the result, which is un-natural at all
The text was updated successfully, but these errors were encountered: