Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
wildcard
Instructions to use Yuheng111/3dprintstyle-snkr-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yuheng111/3dprintstyle-snkr-generator with Diffusers:
pip install -U diffusers transformers accelerate
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] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- bc0a5b1a4fb1ab8645861ed38644f72bb3853ace719396dd1df938220c411365
- Size of remote file:
- 335 MB
- SHA256:
- f506c519bca6fcb25f695b94364422f7b2f534d52ded3decbcd6674a5101b500
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