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", 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
- Xet hash:
- 1fa1d8f2ea6cc42cafc903c6a4e9cac8bd9622e84bd1f45db1f38af1150d0043
- Size of remote file:
- 3.44 GB
- SHA256:
- 37d4ce6e8240495bc1cbf13d81716f70badb044ccb331bc723633f9cc440c5be
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