Instructions to use erkam/sd-clevr-sg2im-objects_cap 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 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") 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 checkpoint-5000/optimizer.bin from erkam/sd-clevr-sg2im-objects_cap: direct link, hf CLI and curl.
- Browser
- Download file 213 MB
-
https://huggingface.co/erkam/sd-clevr-sg2im-objects_cap/resolve/main/checkpoint-5000/optimizer.bin
- Command line
-
hf download hf://erkam/sd-clevr-sg2im-objects_cap/checkpoint-5000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/erkam/sd-clevr-sg2im-objects_cap/resolve/main/checkpoint-5000/optimizer.bin
213 MB
- Xet hash:
- 028a884fb8c00c0a41e748da172378dcd8b031e4e65ead45c615e02f72ab7429
- Size of remote file:
- 213 MB
- SHA256:
- 9f4c728f05de4173b27393ba085c3dd2bac07849f7aabe46b23b68a203578640
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