Instructions to use hiddenbox/poodle_dream2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hiddenbox/poodle_dream2 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_dream2") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-10200/pytorch_lora_weights.safetensors from hiddenbox/poodle_dream2: direct link, hf CLI and curl.
- Browser
- Download file 3.23 MB
-
https://huggingface.co/hiddenbox/poodle_dream2/resolve/main/checkpoint-10200/pytorch_lora_weights.safetensors
- Command line
-
hf download hf://hiddenbox/poodle_dream2/checkpoint-10200/pytorch_lora_weights.safetensors
-
curl -L -o pytorch_lora_weights.safetensors https://huggingface.co/hiddenbox/poodle_dream2/resolve/main/checkpoint-10200/pytorch_lora_weights.safetensors
3.23 MB
- Xet hash:
- c3515bcdd1f456db2a15828c3f027b9330e63dabb34d96964fb8ccf264eb3f7e
- Size of remote file:
- 3.23 MB
- SHA256:
- b7662d294b26b586c3e5683a5be719d3a5668082433dfe30d9c9e5dc76194a16
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