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
File size: 614 Bytes
84c9d95 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 | # 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"
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