Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use abhishek1235/pb_models2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use abhishek1235/pb_models2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("abhishek1235/pb_models2", dtype=torch.bfloat16, device_map="cuda") prompt = "supermarket shelf image having promotional banner on it" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("abhishek1235/pb_models2", dtype=torch.bfloat16, device_map="cuda")
prompt = "supermarket shelf image having promotional banner on it"
image = pipe(prompt).images[0]DreamBooth - abhishek2153/pb_models2
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on supermarket shelf image having promotional banner on it using DreamBooth. You can find some example images in the following.
DreamBooth for the text encoder was enabled: False.
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Model tree for abhishek1235/pb_models2
Base model
CompVis/stable-diffusion-v1-4