Instructions to use jasonfishbein/datan3rd_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jasonfishbein/datan3rd_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("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("jasonfishbein/datan3rd_lora") prompt = "DATAN3RD" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download optimizer.pt from jasonfishbein/datan3rd_lora: direct link, hf CLI and curl.
- Browser
- Download file 173 MB
-
https://huggingface.co/jasonfishbein/datan3rd_lora/resolve/main/optimizer.pt
- Command line
-
hf download hf://jasonfishbein/datan3rd_lora/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/jasonfishbein/datan3rd_lora/resolve/main/optimizer.pt
173 MB
- Xet hash:
- f706a4e130eee1c7ea38cefd2c165d8c7bdd45b22c95210a7540fc2c15bc9b95
- Size of remote file:
- 173 MB
- SHA256:
- ac684c86c9036655ce6b496da63c708be247774984359d851f386494dceef74e
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