Text-to-Image
Diffusers
TensorBoard
diffusers-training
lora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use nikita200/testing3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nikita200/testing3 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-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("nikita200/testing3") prompt = "A photo of sks coca cola bottle" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from nikita200/testing3: direct link, hf CLI and curl.
- Browser
- Download file 47.4 MB
-
https://huggingface.co/nikita200/testing3/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://nikita200/testing3/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/nikita200/testing3/resolve/main/checkpoint-500/optimizer.bin
47.4 MB
- Xet hash:
- 1f2300cf589fc8810a24cc16660a682dae1749fc01d067c00bbe05b3ab3f738c
- Size of remote file:
- 47.4 MB
- SHA256:
- 4a33e533699dda5b74c4a7d1592b29456abf4dad05b02b904e652830aed2d1fa
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