Instructions to use erkam/sd-clevr-scene-graph with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use erkam/sd-clevr-scene-graph with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("erkam/sd-clevr-scene-graph") 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 image_2.png from erkam/sd-clevr-scene-graph: direct link, hf CLI and curl.
- Browser
- Download file 411 kB
-
https://huggingface.co/erkam/sd-clevr-scene-graph/resolve/main/image_2.png
- Command line
-
hf download hf://erkam/sd-clevr-scene-graph/image_2.png
-
curl -L -o image_2.png https://huggingface.co/erkam/sd-clevr-scene-graph/resolve/main/image_2.png
411 kB

- Xet hash:
- 80979e8e77b9c9117d6de6c6eec7c81f9b0938faf1c19c49201280717149532f
- Size of remote file:
- 411 kB
- SHA256:
- fb1066c4058f9f52418a47b26f3d9fe323f92bee7212668b626cbd5aa508ec36
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