Instructions to use danbrown/testman-lora-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use danbrown/testman-lora-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("danbrown/AnyLora-v1", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("danbrown/testman-lora-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-500/optimizer.bin from danbrown/testman-lora-2: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/danbrown/testman-lora-2/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://danbrown/testman-lora-2/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/danbrown/testman-lora-2/resolve/main/checkpoint-500/optimizer.bin
6.59 MB
- Xet hash:
- a029a3f89222b11cbc05b46999b76b3b920853ea51fad403444b85aadbcb6821
- Size of remote file:
- 6.59 MB
- SHA256:
- 1c26fcffa0063aaac6c4e8c90e90658eb47e4e0532a89b3d80b29d9dd419c74d
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