Instructions to use Envvi/Inkpunk-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Envvi/Inkpunk-Diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Envvi/Inkpunk-Diffusion", 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
| license: creativeml-openrail-m | |
| language: | |
| - en | |
| tags: | |
| - stable-diffusion | |
| - text-to-image | |
| - diffusers | |
| # Inkpunk Diffusion | |
| Finetuned Stable Diffusion model trained on dreambooth. Vaguely inspired by Gorillaz, FLCL, and Yoji Shinkawa. Use **_nvinkpunk_** in your prompts. | |
| # Gradio | |
| We support a [Gradio](https://github.com/gradio-app/gradio) Web UI to run Inkpunk-Diffusion: | |
| [](https://huggingface.co/spaces/akhaliq/Inkpunk-Diffusion) | |
| # Sample images | |
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