Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
Base Model
Film
Real
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/fennPhoto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/fennPhoto 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/fennPhoto", 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:
- 3b442f7f221b1b33929be1ec3d7784f4bb1c5bad01c76eff28301b0107d248d6
- Size of remote file:
- 3.44 GB
- SHA256:
- 3751205a2cf0e478bb4b8829bec843a66e479a3f305f548703972b719600809d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.