Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
wildcard
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("adamwatters/rblx-character", dtype=torch.bfloat16, device_map="cuda")
prompt = "a photo of rblx character in front of statue of liberty"
image = pipe(prompt).images[0]DreamBooth model for the rblx concept trained by adamwatters on the adamwatters/roblox-guy dataset.
Description
This is a Stable Diffusion model fine-tuned on images of my specific customized Roblox avatar. Idea is: maybe it would be fun for Roblox players to make images of their avatars in different settings.
It can be used by modifying the instance_prompt: a photo of rblx character
This model was created as part of the DreamBooth Hackathon 🔥. Visit the organisation page for instructions on how to take part!
Generate Images
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('adamwatters/rblx-character')
image = pipeline().images[0]
image
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