Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
darkstorm2150
anime
art
artistic
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Protogen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Protogen 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/Protogen", 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
- Draw Things
- DiffusionBee
- Xet hash:
- d13848e226f50209715e193117fcc9f922cb850f0d7f92e19bad46516c29536c
- Size of remote file:
- 492 MB
- SHA256:
- fe2f08899334a9d46a5da989e668094dd2cc0c1f986116942979b15af9e76b2d
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