image = remote_decode( endpoint="https://q1bj3bpq6kzilnsu.us-east-1.aws.endpoints.huggingface.cloud/", tensor=torch.randn([1, 4, 64, 64], dtype=torch.float16), scaling_factor=0.18215, )

image = remote_decode( endpoint="https://whhx50ex1aryqvw6.us-east-1.aws.endpoints.huggingface.cloud/", tensor=torch.randn([1, 4096, 64], dtype=torch.float16), height=1024, width=1024, scaling_factor=0.3611, shift_factor=0.1159, )

video = remote_decode( endpoint="https://o7ywnmrahorts457.us-east-1.aws.endpoints.huggingface.cloud/", tensor=torch.randn([1, 16, 3, 40, 64], dtype=torch.float16), output_type="mp4", ) withopen("video.mp4", "wb") as f: f.write(video)

from diffusers import StableDiffusionPipeline pipe = StableDiffusionPipeline.from_pretrained( "stable-diffusion-v1-5/stable-diffusion-v1-5", torch_dtype=torch.float16, variant="fp16", vae=None, ).to("cuda") prompt = "Strawberry ice cream, in a stylish modern glass, coconut, splashing milk cream and honey, in a gradient purple background, fluid motion, dynamic movement, cinematic lighting, Mysterious" latent = pipe( prompt=prompt, 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("test.jpg")

from diffusers import FluxPipeline pipe = FluxPipeline.from_pretrained( "black-forest-labs/FLUX.1-schnell", torch_dtype=torch.bfloat16, vae=None, ).to("cuda") prompt = "Strawberry ice cream, in a stylish modern glass, coconut, splashing milk cream and honey, in a gradient purple background, fluid motion, dynamic movement, cinematic lighting, Mysterious" latent = pipe( prompt=prompt, guidance_scale=0.0, num_inference_steps=4, output_type="latent", ).images image = remote_decode( endpoint="https://whhx50ex1aryqvw6.us-east-1.aws.endpoints.huggingface.cloud/", tensor=latent, height=1024, width=1024, scaling_factor=0.3611, shift_factor=0.1159, ) image.save("test.jpg")

from diffusers import HunyuanVideoPipeline, HunyuanVideoTransformer3DModel model_id = "hunyuanvideo-community/HunyuanVideo" transformer = HunyuanVideoTransformer3DModel.from_pretrained( model_id, subfolder="transformer", torch_dtype=torch.bfloat16 ) pipe = HunyuanVideoPipeline.from_pretrained( model_id, transformer=transformer, vae=None, torch_dtype=torch.float16 ).to("cuda") latent = pipe( prompt="A cat walks on the grass, realistic", height=320, width=512, num_frames=61, num_inference_steps=30, output_type="latent", ).frames video = remote_decode( endpoint="https://o7ywnmrahorts457.us-east-1.aws.endpoints.huggingface.cloud/", tensor=latent, output_type="mp4", ) ifisinstance(video, bytes): withopen("video.mp4", "wb") as f: f.write(video)

import queue import threading from IPython.display import display from diffusers import StableDiffusionPipeline defdecode_worker(q: queue.Queue): whileTrue: item = q.get() if item isNone: break image = remote_decode( endpoint="https://q1bj3bpq6kzilnsu.us-east-1.aws.endpoints.huggingface.cloud/", tensor=item, scaling_factor=0.18215, ) display(image) q.task_done() q = queue.Queue() thread = threading.Thread(target=decode_worker, args=(q,), daemon=True) thread.start() defdecode(latent: torch.Tensor): q.put(latent) prompts = [ "Blueberry ice cream, in a stylish modern glass , ice cubes, nuts, mint leaves, splashing milk cream, in a gradient purple background, fluid motion, dynamic movement, cinematic lighting, Mysterious", "Lemonade in a glass, mint leaves, in an aqua and white background, flowers, ice cubes, halo, fluid motion, dynamic movement, soft lighting, digital painting, rule of thirds composition, Art by Greg rutkowski, Coby whitmore", "Comic book art, beautiful, vintage, pastel neon colors, extremely detailed pupils, delicate features, light on face, slight smile, Artgerm, Mary Blair, Edmund Dulac, long dark locks, bangs, glowing, fashionable style, fairytale ambience, hot pink.", "Masterpiece, vanilla cone ice cream garnished with chocolate syrup, crushed nuts, choco flakes, in a brown background, gold, cinematic lighting, Art by WLOP", "A bowl of milk, falling cornflakes, berries, blueberries, in a white background, soft lighting, intricate details, rule of thirds, octane render, volumetric lighting", "Cold Coffee with cream, crushed almonds, in a glass, choco flakes, ice cubes, wet, in a wooden background, cinematic lighting, hyper realistic painting, art by Carne Griffiths, octane render, volumetric lighting, fluid motion, dynamic movement, muted colors,", ] pipe = StableDiffusionPipeline.from_pretrained( "Lykon/dreamshaper-8", torch_dtype=torch.float16, vae=None, ).to("cuda") pipe.unet = pipe.unet.to(memory_format=torch.channels_last) pipe.unet = torch.compile(pipe.unet, mode="reduce-overhead", fullgraph=True) _ = pipe( prompt=prompts[0], output_type="latent", ) for prompt in prompts: latent = pipe( prompt=prompt, output_type="latent", ).images decode(latent) q.put(None) thread.join()