Instructions to use erkam/sd-clevr-sg2layout-objects_cap-e2e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use erkam/sd-clevr-sg2layout-objects_cap-e2e 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-sg2layout-objects_cap-e2e") 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:
- a340d27f62d6886bdee15d2e01bd024d3061a541835a6cdf9fae5c893bc2b785
- Size of remote file:
- 137 MB
- SHA256:
- 3b0b5aaa9619949e711b31b36dbd0c23aefe516874d3bc8305eb62f2e27f6842
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