Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
artwork
HDR photography
photos
Dunkindont
Instructions to use Yntec/foto-assisted-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/foto-assisted-diffusion 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/foto-assisted-diffusion", torch_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:
- d32bc845d7c1dc1386c7fa5f73c8b63ae9469ce10b3bf6d3978a4da01779813e
- Size of remote file:
- 492 MB
- SHA256:
- b52efdd23928bab92b5832afff3c9a890bc7d55d49d0c2135c6686b56af0960b
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