[BugFix] Download Anima assets for README CI test (#7928)

Signed-off-by: akshatvishu <akshatnayak197@gmail.com>

tests/examples/offline_inference/test_text_to_image.py

@@ -6,9 +6,12 @@ Offline inference tests: text-to-image.
 See examples/offline_inference/text_to_image/README.md
 """
 
+import json
+import shlex
 from pathlib import Path
 
 import pytest
+from huggingface_hub import hf_hub_download, snapshot_download
 
 from tests.examples.helpers import EXAMPLES, ExampleRunner, ReadmeSnippet
 from tests.helpers.assertions import assert_image_valid
@@ -37,12 +40,38 @@ def _skip_readme_snippet(language: str, code: str, h2_title: str) -> tuple[bool,
 README_SNIPPETS = ReadmeSnippet.extract_readme_snippets(README_PATH, skipif=_skip_readme_snippet)
 
 
+def _prepare_anima_snippet(snippet: ReadmeSnippet) -> ReadmeSnippet:
+    if "--model-class-name AnimaPipeline" not in snippet.code:
+        return snippet
+
+    assert "/path/to/models/anima-official/split_files/diffusion_models/anima-base-v1.0.safetensors" in snippet.code, (
+        "Anima README checkpoint placeholder changed; update _prepare_anima_snippet to match"
+    )
+
+    checkpoint = hf_hub_download(
+        repo_id="circlestone-labs/Anima",
+        filename="split_files/diffusion_models/anima-base-v1.0.safetensors",
+    )
+    components = snapshot_download(
+        repo_id="circlestone-labs/Anima-Base-v1.0-Diffusers",
+        allow_patterns=["text_encoder/*", "vae/*", "tokenizer/*", "t5_tokenizer/*", "scheduler/*"],
+    )
+    argv = shlex.split(snippet.code)
+    argv[argv.index("--model") + 1] = checkpoint
+    custom_args_index = argv.index("--custom-pipeline-args") + 1
+    custom_args = json.loads(argv[custom_args_index])
+    custom_args["components_path"] = components
+    argv[custom_args_index] = json.dumps(custom_args)
+    return snippet._replace(code=shlex.join(argv))
+
+
 @pytest.mark.parametrize("snippet", README_SNIPPETS, ids=lambda snippet: snippet.test_id)
 def test_text_to_image(snippet: ReadmeSnippet, example_runner: ExampleRunner):
     should_skip, reason = snippet.skip
     if should_skip:
         pytest.skip(reason)
 
+    snippet = _prepare_anima_snippet(snippet)
     result = example_runner.run(snippet, output_subfolder=Path(EXAMPLE_OUTPUT_SUBFOLDER))
     for asset in result.assets:
         assert_image_valid(asset)