Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Base Model
General purpose
Photorealistic
Anime
Photorealism
Art
Simple prompts
22h
artificialguybr
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Livin-Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Livin-Large 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/Livin-Large", 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 vae/diffusion_pytorch_model.fp16.safetensors from Yntec/Livin-Large: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/Yntec/Livin-Large/resolve/main/vae/diffusion_pytorch_model.fp16.safetensors
- Command line
-
hf download hf://Yntec/Livin-Large/vae/diffusion_pytorch_model.fp16.safetensors
-
curl -L -o diffusion_pytorch_model.fp16.safetensors https://huggingface.co/Yntec/Livin-Large/resolve/main/vae/diffusion_pytorch_model.fp16.safetensors
335 MB
- Xet hash:
- 3620db76f239c0a08bd558e4f726f0078e5cdd9d31ec826a9cba48e1782caf1e
- Size of remote file:
- 335 MB
- SHA256:
- ee9c5632ab93ed20eb0e0e783c59507f869fb73ea73a4f14d87b95368c30b7c8
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