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:
- 0a9f9522e7ec0ebad94d4d20908aaaa066e863e6af0f477fef98faf88c58ea7b
- Size of remote file:
- 492 MB
- SHA256:
- ad22f37b556ea0636b62c8aa4dbcba84515140e9ea749c20a486afdfbb7a9260
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