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from diffusers import DPMSolverMultistepScheduler, DiffusionPipeline, EulerDiscreteScheduler, StableDiffusionPipeline, KDPM2DiscreteScheduler, StableDiffusionImg2ImgPipeline, HeunDiscreteScheduler, KDPM2AncestralDiscreteScheduler, DDIMScheduler, HeunDiscreteScheduler, DEISMultistepScheduler |
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from diffusers import DiffusionPipeline |
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import time |
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from pytorch_lightning import seed_everything |
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import os |
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from huggingface_hub import HfApi |
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import torch |
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import sys |
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from pathlib import Path |
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import requests |
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from PIL import Image |
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from io import BytesIO |
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from torch.nn.functional import fractional_max_pool2d_with_indices |
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api = HfApi() |
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start_time = time.time() |
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model_id = "/home/patrick/stable-diffusion-xl-base-1.0/" |
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scheduler = DPMSolverMultistepScheduler.from_pretrained(model_id, subfolder="scheduler") |
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pipe_high_noise = DiffusionPipeline.from_pretrained("/home/patrick/stable-diffusion-xl-base-1.0/", torch_dtype=torch.float16, variant="fp16", use_safetensors=True, local_files_only=True) |
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pipe_high_noise.to("cuda") |
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pipe_low_noise = DiffusionPipeline.from_pretrained("/home/patrick/stable-diffusion-xl-refiner-1.0/", torch_dtype=torch.float16, use_safetensors=True, variant="fp16") |
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pipe_low_noise.to("cuda") |
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prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" |
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random_generator = torch.Generator() |
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random_generator.manual_seed(0) |
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num_inference_steps = 40 |
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high_noise_frac = 0.8 |
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image = pipe_high_noise(prompt=prompt, num_inference_steps=num_inference_steps, num_images_per_prompt=2, denoising_end=high_noise_frac, output_type="latent").images |
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images = pipe_low_noise(prompt=prompt, num_inference_steps=num_inference_steps, num_images_per_prompt=2, denoising_start=high_noise_frac, image=image).images |
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print(len(images)) |
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image = images[1] |
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file_name = f"aaa_1" |
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path = os.path.join(Path.home(), "images", "ediffi_sdxl", f"{file_name}.png") |
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image.save(path) |
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api.upload_file( |
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path_or_fileobj=path, |
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path_in_repo=path.split("/")[-1], |
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repo_id="patrickvonplaten/images", |
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repo_type="dataset", |
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) |
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print(f"https://huggingface.co/datasets/patrickvonplaten/images/blob/main/{file_name}.png") |
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