Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use Ginyyds/clothes_example_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ginyyds/clothes_example_v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Ginyyds/clothes_example_v2") 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-4000/optimizer.bin from Ginyyds/clothes_example_v2: direct link, hf CLI and curl.
- Browser
- Download file 6.85 MB
-
https://huggingface.co/Ginyyds/clothes_example_v2/resolve/main/checkpoint-4000/optimizer.bin
- Command line
-
hf download hf://Ginyyds/clothes_example_v2/checkpoint-4000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Ginyyds/clothes_example_v2/resolve/main/checkpoint-4000/optimizer.bin
6.85 MB
- Xet hash:
- 9b0f6678522c2b558c200b998910d5132be0e13b99f6112a758246d45b33311b
- Size of remote file:
- 6.85 MB
- SHA256:
- d180aa060a3b0d06a10e34333313907f0851b92f837ecaea157a58377b11477e
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