Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Cisney_Gassai
PatchMonk
rainbowpatch
Realisian
Instructions to use Yntec/RealRainbows with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/RealRainbows 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/RealRainbows", 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:
- 5ad815a8ece79b3a0cfbea8d30dbb0ac5e30aa5f02d3e7b986dc3ec420a2d31a
- Size of remote file:
- 167 MB
- SHA256:
- afe76c390ffdab90f46a4d9cf7458b9295dcf7aa692091d6337259a57213abbd
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