HunyuanImage2.1
Collection
HunyuanImage-2.1: An Efficient Diffusion Model for High-Resolution (2K) Text-to-Image Generationhttps://github.com/Tencent-Hunyuan/HunyuanImage-2.1
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3 items
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Updated
from diffusers import HunyuanImagePipeline
import torch
device = "cuda:0"
dtype = torch.bfloat16
repo = "hunyuanvideo-community/HunyuanImage-2.1-Distilled-Diffusers"
pipe = HunyuanImagePipeline.from_pretrained(repo, torch_dtype=dtype)
pipe = pipe.to(device)
prompt = "A cute, cartoon-style anthropomorphic penguin plush toy with fluffy fur, standing in a painting studio, wearing a red knitted scarf and a red beret with the word “Tencent” on it, holding a paintbrush with a focused expression as it paints an oil painting of the Mona Lisa, rendered in a photorealistic photographic style."
generator = torch.Generator(device=device).manual_seed(649151)
out = pipe(
prompt,
num_inference_steps=8,
distilled_guidance_scale =3.5,
height=2048,
width=2048,
generator=generator,
).images[0]
out.save("test_hyimage-distilled_output.png")