Norod78/ChristmasClaymation-blip-captions
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How to use Norod78/sd2-dreambooth-ClaymationXmas with Diffusers:
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Norod78/sd2-dreambooth-ClaymationXmas", dtype=torch.bfloat16, device_map="cuda")
prompt = "Whilly Wonka, ClaymationXmas"
image = pipe(prompt).images[0]See examples folder for images generated with this model using a1111's WebUI
from diffusers import StableDiffusionPipeline, DPMSolverMultistepScheduler
import torch
def main():
#////////////////////////////////////////////
seed = 42
model = "Norod78/sd2-dreambooth-ClaymationXmas"
#////////////////////////////////////////////
torch.manual_seed(seed)
generator = torch.Generator()
generator.manual_seed(seed)
scheduler = DPMSolverMultistepScheduler(
beta_start=0.00085,
beta_end=0.012,
beta_schedule="scaled_linear",
num_train_timesteps=1000,
trained_betas=None,
predict_epsilon=True,
thresholding=False,
algorithm_type="dpmsolver++",
solver_type="midpoint",
lower_order_final=True,
)
device = "cuda" if torch.cuda.is_available() else "cpu"
dtype = torch.float16 if device == "cuda" else torch.float32
pipe = StableDiffusionPipeline.from_pretrained(model, scheduler=scheduler,torch_dtype=dtype, generator=generator,use_auth_token=True).to(device)
#////////////////////////////////////////////
num_inference_steps = 20
width=512
height=512
samples=4
#////////////////////////////////////////////
prompt = "Willy Wonka, ClaymationXmas"
result = pipe([prompt] * samples, num_inference_steps=num_inference_steps, height=height, width=width)
images = result["images"]
for i, image in enumerate(images):
prompt_to_print = str(i) + "-" + prompt
output_file = prompt_to_print.replace(" ", "_") + "-" + str(width) + "x" +str(height)+ "_" + str(num_inference_steps) + "steps" + "_seed" + str(seed) + ".jpg"
image.save(output_file)
print("Saved: " + str(output_file))
if __name__ == '__main__':
main()
Fine Tuned by @Norod78