Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use gremlin97/RemoteDiff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gremlin97/RemoteDiff with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("gremlin97/RemoteDiff", torch_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:
- df3fb5a348336a8695b50607c7a978ea643de4aae4566a3f8c4511c2601bdbf2
- Size of remote file:
- 6.88 GB
- SHA256:
- c1eb65ac535b52dc93780afe02fe6b632ff79b3a02bb9ecdf1d3f7c0e479de35
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