How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("wavymulder/collage-diffusion", dtype=torch.bfloat16, device_map="cuda")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

Collage Diffusion Header CKPT DOWNLOAD LINK - - - SAFETENSORS DOWNLOAD LINK

This is a dreambooth model trained on collage images.

Use the activation token collage style in your prompt (I recommend at the start)

I have the most fun with this model when I use simple prompts and let the model go crazy. If you want a model that strictly adheres to your prompt, this isn't that.

Trained from 1.5 with VAE.

Please see this document where I share the parameters (prompt, sampler, seed, etc.) used for all example images.

Page2

Downloads last month
184
Inference Providers NEW
This model isn't deployed by any Inference Provider. πŸ™‹ Ask for provider support

Spaces using wavymulder/collage-diffusion 97