Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use afeiszli/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use afeiszli/model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("afeiszli/model", dtype=torch.bfloat16, device_map="cuda") prompt = "portrait photo headshot by adler,@me business suit,man,sharp focus,elegant,octane,detailed,award winning photography,masterpiece,rim lit,sharp focus,highly detailed,trending on artstation,nikon,kodak,16:9,50mm portrait photography,hard rim lighting photographybeta ar 2:3 beta upbeta" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 365729607a65763d8fbe3f9e33a1cb2834b803be5e14ca87cefbccdba3675b9a
- Size of remote file:
- 335 MB
- SHA256:
- b4d2b5932bb4151e54e694fd31ccf51fca908223c9485bd56cd0e1d83ad94c49
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