Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Photo
Realistic
Sharp
MagicArt35
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/photoMovieXFinal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/photoMovieXFinal 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/photoMovieXFinal", 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
Download vae/diffusion_pytorch_model.bin from Yntec/photoMovieXFinal: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/Yntec/photoMovieXFinal/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Yntec/photoMovieXFinal/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Yntec/photoMovieXFinal/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- e6c77f4a19ef8343b7f122c7c42ac7daa1aba0b9b44db6e4ce819abb1cd0790b
- Size of remote file:
- 335 MB
- SHA256:
- 1dcad2dfc97e2ccc660c94167655a8ae30be682338c4a419b79e854c023ab919
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