from diffusers.utils import load_image
from diffusers.utils.remote_utils import remote_decode

image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/astronaut.jpg?download=true")

latent = remote_encode(
    endpoint="https://ptccx55jz97f9zgo.us-east-1.aws.endpoints.huggingface.cloud/",
    scaling_factor=0.3611,
    shift_factor=0.1159,
)

decoded = remote_decode(
    endpoint="https://whhx50ex1aryqvw6.us-east-1.aws.endpoints.huggingface.cloud/",
    tensor=latent,
    scaling_factor=0.3611,
    shift_factor=0.1159,
)

import torch
from diffusers import StableDiffusionImg2ImgPip
from diffusers.utils import load_image
from diffusers.utils.remote_utils import remote_decode, remote_encode

pipe = StableDiffusionImg2ImgPipeline.from_pretrained(
    "stable-diffusion-v1-5/stable-diffusion-v1-5",
    torch_dtype=torch.float16,
    variant="fp16",
    vae=None,
).to("cuda")

init_image = load_image(
    "https://raw.githubusercontent.com/CompVis/stable-diffusion/main/assets/stable-samples/img2img/sketch-mountains-input.jpg"
)
init_image = init_image.resize((768, 512))

init_latent = remote_encode(
    endpoint="https://qc6479g0aac6qwy9.us-east-1.aws.endpoints.huggingface.cloud/",
    image=init_image,
    scaling_factor=0.18215,
)

prompt = "A fantasy landscape, trending on artstation"
latent = pipe(
    prompt=prompt,
    image=init_latent,
    strength=0.75,
    output_type="latent",
).images

image = remote_decode(
    endpoint="https://q1bj3bpq6kzilnsu.us-east-1.aws.endpoints.huggingface.cloud/",
    tensor=latent,
    scaling_factor=0.18215,
)
image.save("fantasy_landscape.jpg")