Instructions to use shiyi123/firered with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use shiyi123/firered with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("shiyi123/firered") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
| HF repo: shiyi123/firered | |
| Root: /public/home/wgr260410/projects/edit-banana/huhanqing | |
| Adapter: /public/home/wgr260410/projects/edit-banana/huhanqing/result/flowchart_v7_lora/train/full/best.ckpt/adapter | |
| Validation summary: /public/home/wgr260410/projects/edit-banana/huhanqing/result/flowchart_v7_lora/train/full/validation_summary.json | |
| Optimized run config: /public/home/wgr260410/projects/edit-banana/huhanqing/result/flowchart_v7_lora/eval/full_best_new_benchmark_optimized/meta/run_config.json | |
| Optimized timing: /public/home/wgr260410/projects/edit-banana/huhanqing/result/flowchart_v7_lora/eval/full_best_new_benchmark_optimized/meta/timing.json | |
| Optimized result manifest: /public/home/wgr260410/projects/edit-banana/huhanqing/result/flowchart_v7_lora/eval/full_best_new_benchmark_optimized/meta/result_manifest.jsonl | |
| Optimum quanto wheel: /public/home/wgr260410/projects/edit-banana/huhanqing/env/wheels/optimum_quanto-0.2.7-py3-none-any.whl | |
| Cache DiT wheel: /public/home/wgr260410/projects/edit-banana/huhanqing/env/wheels/cache_dit-1.5.0-py3-none-any.whl | |