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:
- 7930d58b99e2c4c5f9712de313156eb9f9775d42a4f4ef90637eae65e9d038ed
- Size of remote file:
- 2.02 MB
- SHA256:
- 23e6dcb36fb94db5d3d8eb35babdbfa102eff12fd253e727d36f715e47fa8cbc
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