Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
anime
art
general
MichaelFan
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/OpenLexica with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/OpenLexica 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/OpenLexica", 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.fp16.bin from Yntec/OpenLexica: direct link, hf CLI and curl.
- Browser
- Download file 1.72 GB
-
https://huggingface.co/Yntec/OpenLexica/resolve/refs%2Fpr%2F1/unet/diffusion_pytorch_model.fp16.bin
- Command line
-
hf download hf://Yntec/OpenLexica@refs/pr/1/unet/diffusion_pytorch_model.fp16.bin
-
curl -L -o diffusion_pytorch_model.fp16.bin https://huggingface.co/Yntec/OpenLexica/resolve/refs%2Fpr%2F1/unet/diffusion_pytorch_model.fp16.bin
1.72 GB
- Xet hash:
- 5686794f6319b8d79241552cda0807a25ca472c4e8be170405b42ffd1833d7fc
- Size of remote file:
- 1.72 GB
- SHA256:
- e995806018bd217d232b59d3d6321387a8f11786e07bcca06fd1839c7e47b6a4
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