Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Style
3D
Person
Patchmonk
stable-diffusion
stable-diffusion-1.5
stable-diffusion-diffusers
Instructions to use Yntec/LusciousMix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/LusciousMix 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/LusciousMix", 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
- Xet hash:
- 636284b9906de630eaef63ff85d2555762b3ff42ef257a74a1773ba00f6ac003
- Size of remote file:
- 492 MB
- SHA256:
- 540c04f66c453d76a19f15c2feae38d4e706f2fdd3da130f5ded7c5e863c4964
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.