import torch
from diffusers import DiffusionPipeline
from diffusers.utils import load_image
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("siraxe/H3_Image_experiments", dtype=torch.bfloat16, device_map="cuda")
prompt = "change to view selfie shot , keep same identity , use at 1.0-1.4"
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(image=input_image, prompt=prompt).images[0]
- Prompt
- change to view selfie shot , keep same identity , use at 1.0-1.4
H3 Image experimens
Used https://huggingface.co/ShootTheSound/Fizgig-MiniMax-H3-Image-Training-Adapter
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