Instructions to use erkam/sd-clevr-sg2im-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-sg2im-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-sg2im-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:
- af92698a7b058779b43e42842839333af075f6ba151d7641f3b0dc61edb28155
- Size of remote file:
- 137 MB
- SHA256:
- f6421c1359ad9865269eacc042b2680bdfbbf0c14fb977be14659ed69cea87e9
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