Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-v1-5
fine-tuned
fashion
nature
city
portrait
food
animals
Instructions to use AveroLabs/Avero-Image-Coming-Soon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AveroLabs/Avero-Image-Coming-Soon with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AveroLabs/Avero-Image-Coming-Soon", 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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 8029ea5c1ddb80991196011a774f48511f9e962493ad585ac75e8b1ea3d80b32
- Size of remote file:
- 362 MB
- SHA256:
- 077260655a0984704d33c69b1b0e8342b179d10b7674a63082dedf7b5a2235e4
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