Instructions to use Adminhuggingface/OUTPUTA_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Adminhuggingface/OUTPUTA_2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Adminhuggingface/OUTPUTA_2") 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-11500/optimizer.bin from Adminhuggingface/OUTPUTA_2: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/Adminhuggingface/OUTPUTA_2/resolve/main/checkpoint-11500/optimizer.bin
- Command line
-
hf download hf://Adminhuggingface/OUTPUTA_2/checkpoint-11500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Adminhuggingface/OUTPUTA_2/resolve/main/checkpoint-11500/optimizer.bin
6.59 MB
- Xet hash:
- a6e5d83ac18287f615f1ad55436c504e773d7088b552ba4d1fed2b518974a9ff
- Size of remote file:
- 6.59 MB
- SHA256:
- f0c6739d927d0ed63fb7bfc1e0d1d67a298fa018576d4d34bb0d96d008cea54f
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