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-30000/optimizer.bin from erkam/sd-clevr-sg2im-objects_cap-e2e: direct link, hf CLI and curl.
- Browser
- Download file 137 MB
-
https://huggingface.co/erkam/sd-clevr-sg2im-objects_cap-e2e/resolve/main/checkpoint-30000/optimizer.bin
- Command line
-
hf download hf://erkam/sd-clevr-sg2im-objects_cap-e2e/checkpoint-30000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/erkam/sd-clevr-sg2im-objects_cap-e2e/resolve/main/checkpoint-30000/optimizer.bin
137 MB
- Xet hash:
- fd26061472b0dcae10d99130ce86f7b1ce7c045cb27efb801b052ccea1f320a7
- Size of remote file:
- 137 MB
- SHA256:
- 709934731eefde0f7011a31691735b6b041ebb353d090faa9c2a64e122469992
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