Instructions to use EVA787797/4877877 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EVA787797/4877877 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("EVA787797/4877877") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| # https://taskfile.dev | |
| version: "3" | |
| dotenv: | |
| - .env | |
| tasks: | |
| default: | |
| cmds: | |
| - echo "$PYTHON" | |
| - echo "$WEBUI" | |
| - echo "$UV_PYTHON" | |
| silent: true | |
| launch: | |
| dir: "{{.WEBUI}}" | |
| cmds: | |
| - "{{.PYTHON}} launch.py --xformers --api" | |
| silent: true | |
| lint: | |
| cmds: | |
| - pre-commit run -a | |
| update: | |
| cmds: | |
| - "{{.PYTHON}} -m uv pip install -U ultralytics mediapipe ruff pre-commit black devtools pytest hypothesis" | |
| update-torch: | |
| cmds: | |
| - "{{.PYTHON}} -m uv pip install -U torch torchvision torchaudio -f https://download.pytorch.org/whl/torch_stable.html" | |