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
Download vae/diffusion_pytorch_model.fp16.bin from Yntec/RealRainbows: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/Yntec/RealRainbows/resolve/refs%2Fpr%2F1/vae/diffusion_pytorch_model.fp16.bin
- Command line
-
hf download hf://Yntec/RealRainbows@refs/pr/1/vae/diffusion_pytorch_model.fp16.bin
-
curl -L -o diffusion_pytorch_model.fp16.bin https://huggingface.co/Yntec/RealRainbows/resolve/refs%2Fpr%2F1/vae/diffusion_pytorch_model.fp16.bin
167 MB
- Xet hash:
- 9822d2e621b2b808f89bf6af1816e5bdc49a8bbd215c3ca553ff736131e8b903
- Size of remote file:
- 167 MB
- SHA256:
- ed30f59f91cf8f1d0efddb3df7145bc21e92cb6b79603dcd7a818a6c86ca4715
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