Text-to-Image
Diffusers
English
model-zoo
generative-models
flux
sdxl
chroma
qwen-image
krea
z-image
photographic
analog
creative-ai
ray
ray-models
Instructions to use MutantSparrow/Ray with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MutantSparrow/Ray with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MutantSparrow/Ray", 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:
- 6dc8694a622c1e757175db7cd60e2d36b5bb384dcf9025771b2a432ccacbb8f3
- Size of remote file:
- 616 kB
- SHA256:
- 04febf558e84c28634a74eb23ab8b9805de1be9516b9916895ea019ebbdbcf44
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.