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
Download checkpoint-35000/optimizer_1.bin from erkam/sd-clevr-sg2im-objects_cap-e2e: direct link, hf CLI and curl.
- Browser
- Download file 6.86 MB
-
https://huggingface.co/erkam/sd-clevr-sg2im-objects_cap-e2e/resolve/main/checkpoint-35000/optimizer_1.bin
- Command line
-
hf download hf://erkam/sd-clevr-sg2im-objects_cap-e2e/checkpoint-35000/optimizer_1.bin
-
curl -L -o optimizer_1.bin https://huggingface.co/erkam/sd-clevr-sg2im-objects_cap-e2e/resolve/main/checkpoint-35000/optimizer_1.bin
6.86 MB
- Xet hash:
- 6a92f13a069c5788c5db3216dc5783bdfb9902d2d31585da8b00e8743c734719
- Size of remote file:
- 6.86 MB
- SHA256:
- 9357451ae4f8f96804658fc9e8bb40ee3048f8cb59e11d80346bc6156171afe6
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