Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use adarshzd/sd-th-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use adarshzd/sd-th-test 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("adarshzd/sd-th-test") 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-1/optimizer.bin from adarshzd/sd-th-test: direct link, hf CLI and curl.
- Browser
- Download file 4 MB
-
https://huggingface.co/adarshzd/sd-th-test/resolve/main/checkpoint-1/optimizer.bin
- Command line
-
hf download hf://adarshzd/sd-th-test/checkpoint-1/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/adarshzd/sd-th-test/resolve/main/checkpoint-1/optimizer.bin
4 MB
- Xet hash:
- b0b594c3406e4e4d5b9cd1bbdf8bf01c71f7817ef4a778f0146aa02e0ffa9b71
- Size of remote file:
- 4 MB
- SHA256:
- 23f800f6862f7cdf5a96eeb627cc3f0377c169194f65b11a861d2c4c3d1e079a
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