Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
anime
sexy
western art
portrait
art
artistic
iamxenos
darkstorm2150
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/ProtoEngine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/ProtoEngine 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/ProtoEngine", 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
| language: | |
| - en | |
| library_name: diffusers | |
| pipeline_tag: text-to-image | |
| tags: | |
| - anime | |
| - sexy | |
| - western art | |
| - portrait | |
| - art | |
| - artistic | |
| - iamxenos | |
| - darkstorm2150 | |
| - stable-diffusion | |
| - stable-diffusion-diffusers | |
| - diffusers | |
| - text-to-image | |
| inference: true | |
| license: creativeml-openrail-m | |
| Work in progress. |