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
- Draw Things
- DiffusionBee
- Xet hash:
- abedb1175c34f880b95747fa9295363cc1cde8fd8c387c336470c56a17f543e1
- Size of remote file:
- 335 MB
- SHA256:
- f52bff0cbe0801cff77e7750ba1474f5d701092080fdd93dc4c742a9619500b0
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