Ktolodozo/Beau

pip install --upgrade diffusers transformers scipy huggingface-cli login import torch from torch import autocast from diffusers import StableDiffusionPipeline

model_id = "CompVis/stable-diffusion-v1-4" device = "cuda"

pipe = StableDiffusionPipeline.from_pretrained(model_id, use_auth_token=True) pipe = pipe.to(device)

prompt = "a photo of an astronaut riding a horse on mars" with autocast("cuda"): image = pipe(prompt, guidance_scale=7.5).images[0]

image.save("astronaut_rides_horse.png") import torch

pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16, revision="fp16", use_auth_token=True) pipe = pipe.to(device)

prompt = "a photo of an astronaut riding a horse on mars" with autocast("cuda"): image = pipe(prompt, guidance_scale=7.5).images[0]

image.save("astronaut_rides_horse.png") from diffusers import StableDiffusionPipeline, LMSDiscreteScheduler

model_id = "CompVis/stable-diffusion-v1-4"

Use the K-LMS scheduler here instead

scheduler = LMSDiscreteScheduler(beta_start=0.00085, beta_end=0.012, beta_schedule="scaled_linear", num_train_timesteps=1000) pipe = StableDiffusionPipeline.from_pretrained(model_id, scheduler=scheduler, use_auth_token=True) pipe = pipe.to("cuda")

prompt = "a photo of an astronaut riding a horse on mars" with autocast("cuda"): image = pipe(prompt, guidance_scale=7.5).images[0]

image.save("astronaut_rides_horse.png")