Instructions to use TryStar/CloneDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TryStar/CloneDiffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TryStar/CloneDiffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
metadata
license: creativeml-openrail-m
tags:
- stable-diffusion
- text-to-image
This is the fine-tuned Stable Diffusion model trained on screenshots from The Clone wars TV series. Use the tokens "Clonewars style" in your prompts for the effect.
If you enjoy my work, please consider supporting me:
Gradio
We support a Gradio Web UI run CloneDiffusion:
How to use?
Use prompt "clonewars style" before your full prompt.
I recommend Steps: 50, Sampler: Euler a and CFG scale: 7
This model was trained using the diffusers based dreambooth training by TheLastBen
