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:
- 55df81ec5fc3dca561e03320c142c56f7632c39085e3846be7de7aaace757868
- Size of remote file:
- 1.72 GB
- SHA256:
- cce1718ecba2cb6ba4eafc623d81f0edb763d939c359b4adbf21d5e910123d3a
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