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
- Draw Things
- DiffusionBee
- Xet hash:
- e9b012a979fba8481b4410dd55f15b309a2ad202f28ae6a380b18204f4e361d9
- Size of remote file:
- 335 MB
- SHA256:
- 9b9a21bd38600771462b54048342e9a38db21f1fe21911abddab1ab4fa26b5cf
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