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", torch_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:
- 792ab4e39595580deea6f52a9ce5891534fce1e6c9887607674fe15f83cc6044
- Size of remote file:
- 3.44 GB
- SHA256:
- 5ca722e588d5539d31fd52838e008c84306877f859beac79d751719e0c0016c2
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