Instructions to use stillerman/trdne-simple-prompt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stillerman/trdne-simple-prompt 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("stillerman/trdne-simple-prompt") 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-250/optimizer.bin from stillerman/trdne-simple-prompt: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/stillerman/trdne-simple-prompt/resolve/main/checkpoint-250/optimizer.bin
- Command line
-
hf download hf://stillerman/trdne-simple-prompt/checkpoint-250/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/stillerman/trdne-simple-prompt/resolve/main/checkpoint-250/optimizer.bin
6.59 MB
- Xet hash:
- eed669475829dae378616d16563ccabee8e1f6f95225e47c5cb95b1506e3fe3f
- Size of remote file:
- 6.59 MB
- SHA256:
- 0c12fff2ca4ba38f8317bcc5a77c78616e9152a5adc0648368c96cd811ca89dd
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