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:
- 76b207ee96ee4d923633d2a252016c47b4631b317142c1e2ef623b612cd3c5ec
- Size of remote file:
- 6.88 GB
- SHA256:
- 4576e8b26f27d014ef7b2c885208f66d0909058247046ba56c7befa13a0675c0
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