Instructions to use hiddenbox/poodle_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hiddenbox/poodle_4 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("hiddenbox/poodle_4") 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-6500/optimizer.bin from hiddenbox/poodle_4: direct link, hf CLI and curl.
- Browser
- Download file 6.53 MB
-
https://huggingface.co/hiddenbox/poodle_4/resolve/main/checkpoint-6500/optimizer.bin
- Command line
-
hf download hf://hiddenbox/poodle_4/checkpoint-6500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/hiddenbox/poodle_4/resolve/main/checkpoint-6500/optimizer.bin
6.53 MB
- Xet hash:
- 2f4106de605dfcd7bd58014f90898fa38efa103c6b8677e6560aa8cf34546eec
- Size of remote file:
- 6.53 MB
- SHA256:
- 65e1eed09e748483be8bc18d4fc645f10b779acefdc4943b781c6967648e6bc4
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