Instructions to use SebastianEngelberth/Olpe_Model_15k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SebastianEngelberth/Olpe_Model_15k with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SebastianEngelberth/Olpe_Model_15k", dtype=torch.bfloat16, device_map="cuda") 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-7500/optimizer.bin from SebastianEngelberth/Olpe_Model_15k: direct link, hf CLI and curl.
- Browser
- Download file 1.75 GB
-
https://huggingface.co/SebastianEngelberth/Olpe_Model_15k/resolve/main/checkpoint-7500/optimizer.bin
- Command line
-
hf download hf://SebastianEngelberth/Olpe_Model_15k/checkpoint-7500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/SebastianEngelberth/Olpe_Model_15k/resolve/main/checkpoint-7500/optimizer.bin
1.75 GB
- Xet hash:
- ff500dd357cbcedfe264fcf6071ca9aeb8db4f22777d2505ed14ed0a72bcd1bc
- Size of remote file:
- 1.75 GB
- SHA256:
- cbfdc4148e6a5c72c0a8c6834550ecb6ddf1e0f8716f0fe5435d5f5ce48633d4
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