import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("colab71/sd-1.5-manish-1000", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Supriya Model
license: creativeml-openrail-m tags: - pytorch - diffusers - stable-diffusion - text-to-image - diffusion-models-class - dreambooth-hackathon - man widget: - text: photo of ukj
Settings
Steps:1000
Class Images: 50
DreamBooth model for the manish concept trained by colab71 on the dataset.
This is a Stable Diffusion model fine-tuned on the manish concept with DreamBooth. It can be used by modifying the
This model was created as part of the DreamBooth Hackathon 🔥. Visit the organisation page for instructions on how to take part!
Description
This is a Stable Diffusion model fine-tuned on manish's images for the person theme.
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('colab71/sd-1.5-manish-1000')
image = pipeline().images[0]
image
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