Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
General
Style
Synthwave
Art
Render
Lineart
PublicPrompts
WarAnakin
RunDiffusion
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Crystalwave with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Crystalwave 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/Crystalwave", 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:
- 700f087532eae87ff2b7cc96fc57a328049febc9c23f9958f969c2363d37fc41
- Size of remote file:
- 3.44 GB
- SHA256:
- 5534451b9f506ba091efc803dcd7d239506d7a32d802f7f7e47ca79d2fc61510
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