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:
- 6e85210e1a540d33a00517d8fc98b1f258a25c9ca8f7b32e49383569cf2c282c
- Size of remote file:
- 335 MB
- SHA256:
- ef2d9e669bf08c995e5b1a08c749b5cd8ceaf7edac1443210e1ebfc57eeb8b87
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