Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Photo
Realistic
Sharp
MagicArt35
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/photoMovieC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/photoMovieC 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/photoMovieC", 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:
- 492384d49606feb7a3c320f8e39940ae08c4bf440a1f08527f6fd7156aac59d6
- Size of remote file:
- 335 MB
- SHA256:
- 3f390ee6d01c3569be1ea807ff7d2c45fa2ae539de2267aa22e2a0c89173ac62
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