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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 1e408d2a26a4b5c5ed960556cf0602167ab4ff9715603aa1c435bbd18639d33d
- Size of remote file:
- 167 MB
- SHA256:
- 02483b0df6c0c33e9c6d35714cba0d93ac4ab7b90b64cdd93bf929b7ef07314a
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