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
Download text_encoder/model.safetensors from Yntec/ProtoEngine: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Yntec/ProtoEngine/resolve/main/text_encoder/model.safetensors
- Command line
-
hf download hf://Yntec/ProtoEngine/text_encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Yntec/ProtoEngine/resolve/main/text_encoder/model.safetensors
492 MB
- Xet hash:
- d13848e226f50209715e193117fcc9f922cb850f0d7f92e19bad46516c29536c
- Size of remote file:
- 492 MB
- SHA256:
- fe2f08899334a9d46a5da989e668094dd2cc0c1f986116942979b15af9e76b2d
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