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-25000/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-25000/optimizer_1.bin
- Command line
-
hf download hf://erkam/sd-clevr-sg2im-objects_cap-e2e/checkpoint-25000/optimizer_1.bin
-
curl -L -o optimizer_1.bin https://huggingface.co/erkam/sd-clevr-sg2im-objects_cap-e2e/resolve/main/checkpoint-25000/optimizer_1.bin
6.86 MB
- Xet hash:
- 840d1f897549ef157392a91c70b61835bc265e8fc1f62a0bc7d7c311ee3c4f93
- Size of remote file:
- 6.86 MB
- SHA256:
- f484d5bea39f482fb6e5449c4abb79aa91ee523a951065a0be30b9b023a2304e
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