Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
MagicArt35
Instructions to use Yntec/photoMovieX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/photoMovieX 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/photoMovieX", 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 text_encoder/pytorch_model.bin from Yntec/photoMovieX: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Yntec/photoMovieX/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Yntec/photoMovieX/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Yntec/photoMovieX/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- d39e8c2c8a256fd81b1e41cedc408ddfcadab714d1595655a63693b27439f03f
- Size of remote file:
- 492 MB
- SHA256:
- c7895b02d54485020d0f33d8dbcab3834c6119654713b438323133d0ab445da2
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