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
- Draw Things
- DiffusionBee
- Xet hash:
- b64a4f8a5c0d33e8eda5ea1f233cb89ca3ee695c07841a07ed4c02bfd120c6ff
- Size of remote file:
- 492 MB
- SHA256:
- 85c8e2b9ba414e16f36e5d953c8441f62a9c83626290823bb60f0b85ad17b95c
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