Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
stable-diffusion
synthwave
Merge
Instructions to use lexsplash/SynthwavePunk-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lexsplash/SynthwavePunk-v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lexsplash/SynthwavePunk-v2", 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 unet/diffusion_pytorch_model.bin from lexsplash/SynthwavePunk-v2: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/lexsplash/SynthwavePunk-v2/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://lexsplash/SynthwavePunk-v2/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/lexsplash/SynthwavePunk-v2/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 091f3e4b4dccbc35b58445b33872e99d5a1833341fd8f75279a28463ef701e28
- Size of remote file:
- 3.44 GB
- SHA256:
- 354513ee8216d7b4acf0ed8646886c7568f5abae5d73e2fd9b5cc60fa5efc98f
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