Instructions to use guaguale/model_v with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use guaguale/model_v 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("guaguale/model_v") prompt = "a photo of vvv man" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-100/optimizer.bin from guaguale/model_v: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/guaguale/model_v/resolve/main/checkpoint-100/optimizer.bin
- Command line
-
hf download hf://guaguale/model_v/checkpoint-100/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/guaguale/model_v/resolve/main/checkpoint-100/optimizer.bin
6.59 MB
- Xet hash:
- 80faf3a17255ef71009772edd2b074e9478935998c3fee0fb9f3411c13b4bd50
- Size of remote file:
- 6.59 MB
- SHA256:
- d90b1827b0e536a2ac3b70da4bc55c6ea7d763afc80496973f614a0a9349590e
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