Text-to-Image
Diffusers
StableDiffusionPipeline
stablediffusionapi.com
stable-diffusion-api
ultra-realistic
Instructions to use AVIIAX/majicsom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AVIIAX/majicsom with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AVIIAX/majicsom", 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:
- 91e34f43c6f9ba1541a207d45f808caf1cadb0ed4aa3e67efa9a64f996d7afcb
- Size of remote file:
- 335 MB
- SHA256:
- 15eeb54ff3f8212db1ed2db99f7e6515e2f2f1ff262d3b3570641951492f89ba
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