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", torch_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 Settings
- Draw Things
- DiffusionBee
File size: 1,275 Bytes
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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:**
[](https://ko-fi.com/trystar)
## Gradio
We support a [Gradio](https://github.com/gradio-app/gradio) Web UI run CloneDiffusion:
[](https://huggingface.co/spaces/akhaliq/CloneDiffusion)
**Star Wars Characters**

**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](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb)
created by TryStar |