Text-to-Image
Diffusers
TensorBoard
lora
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use BigBadWolf212/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BigBadWolf212/model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("BigBadWolf212/model") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-200/optimizer.bin from BigBadWolf212/model: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/BigBadWolf212/model/resolve/main/checkpoint-200/optimizer.bin
- Command line
-
hf download hf://BigBadWolf212/model/checkpoint-200/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/BigBadWolf212/model/resolve/main/checkpoint-200/optimizer.bin
6.59 MB
- Xet hash:
- 6bebcae1e791b980e8ed9c1fe5b9c0b00d5e243657d68ef64ace49131aca9d2d
- Size of remote file:
- 6.59 MB
- SHA256:
- fed6fd8c6a6393182d5a7d89b86d83cef4058490b80ec4cf1cd5b81a754179e3
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