Text-to-Image
Diffusers
Safetensors
StableDiffusionXLPipeline
stablediffusionapi.com
stable-diffusion-api
ultra-realistic
Instructions to use RobertML/edge-nirvana with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RobertML/edge-nirvana with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("RobertML/edge-nirvana", 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:
- 65bfaeeff9b463892a6d1202cba203b49976a134d47678795d56637e3c43ccb3
- Size of remote file:
- 1.39 GB
- SHA256:
- 8841d5e4c05ce74941eb536ec3835f600cc82d36763fc5f30c69d09a886158c9
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