Text-to-Image
Diffusers
Safetensors
StableDiffusionXLPipeline
modelslab.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/baltasarxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/baltasarxl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/baltasarxl", 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:
- 4b211dd4646e84f5329b11b3eefe4e3a2f3d6cb438a1afc6ac7b044cbfcb84cc
- Size of remote file:
- 5.14 GB
- SHA256:
- 6e9c13b53d56cc2e9cd02e3249a09f0b43f4153a38b96f56afb828e89e83a58b
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