Instructions to use tangjs/tex-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tangjs/tex-lora 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("tangjs/tex-lora") 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-5000/scheduler.bin from tangjs/tex-lora: direct link, hf CLI and curl.
- Browser
- Download file 559 Bytes
-
https://huggingface.co/tangjs/tex-lora/resolve/main/checkpoint-5000/scheduler.bin
- Command line
-
hf download hf://tangjs/tex-lora/checkpoint-5000/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/tangjs/tex-lora/resolve/main/checkpoint-5000/scheduler.bin
559 Bytes
- Xet hash:
- 5767b9de8a87ac5632685b60f3a6b6ce93bd161ead7213a692f95e4af8522a61
- Size of remote file:
- 559 Bytes
- SHA256:
- c4887f93f931134b21f7b30af60d779ba68822543e179e2142657856f90edd89
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