Instructions to use apruvd/collage-v13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use apruvd/collage-v13 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("apruvd/collage-v13", dtype=torch.bfloat16, device_map="cuda") prompt = "apbus" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("apruvd/collage-v13", dtype=torch.bfloat16, device_map="cuda")
prompt = "apbus"
image = pipe(prompt).images[0]Collage-V13 Dreambooth model trained by apruvd with Hugging Face Dreambooth Training Space with the v1-5 base model
You run your new concept via diffusers Colab Notebook for Inference. Don't forget to use the concept prompts!
Sample pictures of:
apstation (use that on your prompt)
- Downloads last month
- -











# Gated model: Login with a HF token with gated access permission hf auth login