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("Yuheng111/3dprintstyle-snkr-generator", dtype=torch.bfloat16, device_map="cuda")
prompt = "a itgted air jordan 1,((side view)),colourful,optimized structure,Product photography,realistic details,complete single object in the centere,HD"
image = pipe(prompt).images[0]DreamBooth model for the itgted concept trained by Yuheng111.
This is a Stable Diffusion model fine-tuned on the itgted concept with DreamBooth. It can be used by modifying the instance_prompt: a photo of itgted slipper
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 sneaker design auxiliary model trained on a stable diffusion model, Combining the traditional form of sneakers with the integration and layered features of 3D printing， for the Hugging Face DreamBooth Hackathon, from the HF CN Community, corporated with the HeyWhale.
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('Yuheng111/3d-print-style-snkr-gererate')
image = pipeline().images[0]
image
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