Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use emya/outputs_200 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use emya/outputs_200 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("emya/outputs_200", dtype=torch.bfloat16, device_map="cuda") prompt = "app icon, company logo for Booking.com, letter B as motif in the center, font color white, background color solid blue, minimal, simple" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
DreamBooth - emya/outputs_200
This is a dreambooth model derived from outputs_200. The weights were trained on app icon, company logo for Booking.com, letter B as motif in the center, font color white, background color solid blue, minimal, simple using DreamBooth. You can find some example images in the following.
DreamBooth for the text encoder was enabled: False.
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