Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
Photorealistic
Sexy
Female
weed
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/humu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/humu 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/humu", 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 Yntec/humu: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/Yntec/humu/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Yntec/humu/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Yntec/humu/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- ea565db6d2a1a68f8c8f90c73f6a5ec61c223185f0896d8bcb3420939c401f19
- Size of remote file:
- 3.44 GB
- SHA256:
- 985a75f1d0cac97d6cc04acf159ecd414340e4ff0a8dbcebefa990596e62f00c
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