Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Fantasy
Artwork
Landscape
Hivemind111
Instructions to use Yntec/RadiantVibes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/RadiantVibes 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/RadiantVibes", 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:
- 55ea5e8ac544f4f4a88a45cf88e29707efd4d8a4ccadcb05ba68c3e266f89137
- Size of remote file:
- 2.13 GB
- SHA256:
- 8a27e6ed57d60a70c46218537cb017cb739e0a495df396a91a7acfc9d5573110
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