|
| 1 | +import sys |
| 2 | +import os |
| 3 | +from .lib import getMinio, getDDA |
| 4 | +from test import runTest |
| 5 | + |
| 6 | + |
| 7 | +class TestGeneralClass: |
| 8 | + """ |
| 9 | + Typical usage tests, that assume model is already available locally. |
| 10 | + txt2img, img2img, inpaint. |
| 11 | + """ |
| 12 | + |
| 13 | + CALL_ARGS = { |
| 14 | + "MODEL_ID": "stabilityai/stable-diffusion-2-1-base", |
| 15 | + "MODEL_PRECISION": "fp16", |
| 16 | + "MODEL_REVISION": "fp16", |
| 17 | + "MODEL_URL": "s3://", |
| 18 | + } |
| 19 | + |
| 20 | + MODEL_ARGS = {"num_inference_steps": 2} |
| 21 | + |
| 22 | + def setup_class(self): |
| 23 | + print("setup_class") |
| 24 | + # self.minio = minio = getMinio() |
| 25 | + |
| 26 | + HOME = os.getenv("HOME") |
| 27 | + self.dda = dda = getDDA( |
| 28 | + # minio=minio |
| 29 | + # stream_logs=True, |
| 30 | + volumes=[f"{HOME}/root-cache:/root/.cache"], |
| 31 | + ) |
| 32 | + print(dda) |
| 33 | + |
| 34 | + self.TEST_ARGS = {"test_url": dda.url} |
| 35 | + |
| 36 | + def teardown_class(self): |
| 37 | + print("teardown_class") |
| 38 | + # self.minio.stop() |
| 39 | + self.dda.stop() |
| 40 | + |
| 41 | + def test_txt2img(self): |
| 42 | + result = runTest("txt2img", self.TEST_ARGS, self.CALL_ARGS, self.MODEL_ARGS) |
| 43 | + assert result["image_base64"] |
| 44 | + |
| 45 | + def test_img2img(self): |
| 46 | + result = runTest("img2img", self.TEST_ARGS, self.CALL_ARGS, self.MODEL_ARGS) |
| 47 | + assert result["image_base64"] |
| 48 | + |
| 49 | + # def test_inpaint(self): |
| 50 | + # """ |
| 51 | + # This is actually calling inpaint with SDv2.1, not the inpainting model, |
| 52 | + # so I guess we're testing inpaint-legacy. |
| 53 | + # """ |
| 54 | + # result = runTest("inpaint", self.TEST_ARGS, self.CALL_ARGS, self.MODEL_ARGS) |
| 55 | + # assert result["image_base64"] |
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