Instructions to use atsyplikhin/rita_sd_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use atsyplikhin/rita_sd_model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("atsyplikhin/rita_sd_model", 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
- Draw Things
- DiffusionBee
- Xet hash:
- a9e1f5963658efae812891bddd7739c82b225b24c9ed228c448a4fb1fb106c3d
- Size of remote file:
- 3.44 GB
- SHA256:
- a7922748c6af6f7a2585d49f36d343295ec1237072a78d274a0b6d7a29d6829b
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