Text-to-Image
Diffusers
PyTorch
English
StableDiffusionPipeline
clip_text_model
stable-diffusion
compact-model
spacev1.7-image
Instructions to use openmodelai/SpaceV1.7-Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use openmodelai/SpaceV1.7-Image with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("openmodelai/SpaceV1.7-Image", 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
Download grid_tiny.png from openmodelai/SpaceV1.7-Image: direct link, hf CLI and curl.
- Browser
- Download file 535 kB
-
https://huggingface.co/openmodelai/SpaceV1.7-Image/resolve/main/grid_tiny.png
- Command line
-
hf download hf://openmodelai/SpaceV1.7-Image/grid_tiny.png
-
curl -L -o grid_tiny.png https://huggingface.co/openmodelai/SpaceV1.7-Image/resolve/main/grid_tiny.png
535 kB

- Xet hash:
- 04bcf4d7c496eab9719886423a155cd5e4001c8d291fd18b83710e078e690fac
- Size of remote file:
- 535 kB
- SHA256:
- ee6bcc579ceee4f6b2e93e63f6309ae241e302e5f49a437e291b2b5e95c1e697
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