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:
- 99df4d953d23e810089881f72cbcba100540196b2664ff42612acea7a3cb95ad
- Size of remote file:
- 167 MB
- SHA256:
- 0a1737b500a2e0ad48ede998dc937991acd44e88f8a86a878bd33e0d6203a1e9
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