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
Adding `diffusers` weights of this model
#1
by Yntec - opened
This PR adds fp32 and fp16 weights in PyTorch and safetensors format to Yntec/Crystalwave
Yntec changed pull request status to merged