Instructions to use aellaboudy/weights2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aellaboudy/weights2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("aellaboudy/weights2", 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-500/optimizer.bin from aellaboudy/weights2: direct link, hf CLI and curl.
- Browser
- Download file 6.93 GB
-
https://huggingface.co/aellaboudy/weights2/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://aellaboudy/weights2/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/aellaboudy/weights2/resolve/main/checkpoint-500/optimizer.bin
6.93 GB
- Xet hash:
- 229ca82afaed69021129e35f351d5143652541441b9bd89a10905b752f1acb36
- Size of remote file:
- 6.93 GB
- SHA256:
- 8bc6c40d4eac4ee93d09670e6c02af7b6529aa379b94219da040a43ae1c50359
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