Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use wavymulder/wavyfusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wavymulder/wavyfusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wavymulder/wavyfusion", 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 text_encoder/pytorch_model.bin from wavymulder/wavyfusion: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/wavymulder/wavyfusion/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://wavymulder/wavyfusion/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/wavymulder/wavyfusion/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 9751a8722b51a9fe30c4f9cb44628005af9ec7f4fc80603803092de647b0271e
- Size of remote file:
- 492 MB
- SHA256:
- 12fd0e318364aada830239b20003e37f8367e63867a47aeb7a4a4559aaed6da2
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