Text-to-Image
Diffusers
Safetensors
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
landscape
Instructions to use zjake/bydxt-pavilion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zjake/bydxt-pavilion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zjake/bydxt-pavilion", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of bydxt pavilion covered in snow during a snowy day" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
DreamBooth model for the bydxt concept trained by zjake on the zjake/Memorial-Pavilion-of-TJU dataset.
This is a Stable Diffusion model fine-tuned on the bydxt concept with DreamBooth. It can be used by modifying the instance_prompt: a photo of bydxt pavilion
This model was created as part of the DreamBooth Hackathon 🔥. Visit the organisation page for instructions on how to take part!
描述
This is a Stable Diffusion model fine-tuned on pavilion images for the landscape theme.
用法
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('zjake/bydxt-pavilion')
image = pipeline().images[0]
image
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