Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
acheong08
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/f222 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/f222 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/f222", 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
This model with the 840KVAE baked in.
German frigate Baden-Württemberg (F222)
Sample and prompt (it uses seed 9119):
Baden-Württemberg (F222) is the lead ship of the Baden-Württemberg-class frigates of the German Navy.
Background
Baden-Württemberg was designed and constructed by ARGE F125, a joint-venture of Thyssen-Krupp and Lürssen. She is part of the Baden-Württemberg class, which has the highest displacement of any class of frigate worldwide and is used to replace the Bremen class.
Original page: https://huggingface.co/acheong08/f222
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