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
DreamBooth - afeiszli/model
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on 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 using DreamBooth. You can find some example images in the following.
DreamBooth for the text encoder was enabled: False.
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Model tree for afeiszli/model
Base model
CompVis/stable-diffusion-v1-4