Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
Photography
Realism
Style
wavymulder
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/AnalogDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/AnalogDiffusion 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/AnalogDiffusion", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 8542c83430b66e60574f3cec2bd6602d1c0da98deb2cfc365697bd7419d6d6a0
- Size of remote file:
- 492 MB
- SHA256:
- 1582c075387da48989510d9dd83b9bc7220a8dbddf4505dc4a1acc625a45290a
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