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:
- 583108045cc24f5d4ba507397d775cf4bd359a717d4b3b8e20ee3f4c1ca0ae84
- Size of remote file:
- 3.44 GB
- SHA256:
- 4c25139eb3738b46cec21b9d4361264e28d1d6f0719e5bace4707107f9963c6f
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