Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
lexica
Instructions to use Yntec/rainbowpatch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/rainbowpatch with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/rainbowpatch", 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 | |
| library_name: diffusers | |
| pipeline_tag: text-to-image | |
| tags: | |
| - stable-diffusion | |
| - stable-diffusion-diffusers | |
| - diffusers | |
| - text-to-image | |
| - lexica | |
| # Rainbowpatch | |
| Use "Rainbowpatch" in the prompt to enhance the style. | |
| Model by Patchmonk, original page: | |
| https://civitai.com/models/5528/rainbowpatch |