Instructions to use NeVeREire/rach99 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NeVeREire/rach99 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("NeVeREire/rach99", 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:
- c2c09bfb0474e4e325a312d753d7feca33da8bc2147150de8a51137bb3d7a2c5
- Size of remote file:
- 3.44 GB
- SHA256:
- 073088d3c22a4d3810db5dc0ba40529ffbcac49ad35076c06193716282c4fd60
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