Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Base Model
Person
Photorealistic
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/makeitdoubleplz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/makeitdoubleplz 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/makeitdoubleplz", 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:
- bfd54f0174ce7e6255d24a25d0fde085395637f3fad1982fb01ebe66524df9ab
- Size of remote file:
- 335 MB
- SHA256:
- ed90555791cc0d02269dbbae9d3b26517b7be250d69d3021a265962d4f51ebdf
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