Instructions to use hectorruiz9/Lucifer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hectorruiz9/Lucifer with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("finetrainers/CogView4-6B-Edit-LoRA-v0", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("hectorruiz9/Lucifer") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 805 Bytes
cf841f6 | 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 | # Copyright 2013 The Flutter Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
name: coverage
on:
push:
branches:
- master
paths:
- 'packages/flutter/**'
permissions: read-all
jobs:
build:
name: coverage
runs-on: ubuntu-latest
if: ${{ github.repository == 'flutter/flutter' }}
steps:
- uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
- name: ./bin/flutter test --coverage
run: pushd packages/flutter;../../bin/flutter test --coverage -j 1;popd
- name: upload coverage
uses: codecov/codecov-action@7f8b4b4bde536c465e797be725718b88c5d95e0e
with:
files: packages/flutter/coverage/lcov.info
verbose: true
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