Image Generation
Collection
All of my image generator paraphernalia in one place!
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26 items
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Updated
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3
DDPMObama is a latent noise-to-image diffusion model capable of generating images of obama. For more information about how Stable Diffusion functions, please have a look at 🤗's Stable Diffusion blog.
You can use this with the 🧨Diffusers library from Hugging Face.
from diffusers import DiffusionPipeline
pipeline = DiffusionPipeline.from_pretrained("nroggendorff/obama")
pipe = pipeline.to("cuda")
image = pipe().images[0]
image.save("obama.png")
train_batch_size
: 16eval_batch_size
: 16num_epochs
: 50gradient_accumulation_steps
: 1learning_rate
: 1e-4lr_warmup_steps
: 500mixed_precision
: "fp16"eval_metric
: "mean_squared_error"This model card was written by Noa Roggendorff and is based on the Stable Diffusion v1-5 Model Card.