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InvokeAI/tests/backend/model_manager/model_metadata/metadata_examples.py
Brandon Rising f78ed3a952 Add unit test
2024-03-19 01:16:11 -04:00

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# from stabilityai/sdxl-turbo, via the HF API
# This was derived by examination of the outgoing and incoming request.Session
RepoHFMetadata1 = b"""
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"""
# same as above with fp16 files removed
RepoHFMetadata1_nofp16 = b"""
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"""
# Copied from https://huggingface.co/stabilityai/sdxl-turbo/resolve/main/model_index.json
RepoHFModelJson1 = b"""
{'_class_name': 'StableDiffusionXLPipeline', '_diffusers_version': '0.24.0.dev0', 'feature_extractor': [None, None], 'force_zeros_for_empty_prompt': True, 'image_encoder': [None, None], 'scheduler': ['diffusers', 'EulerAncestralDiscreteScheduler'], 'text_encoder': ['transformers', 'CLIPTextModel'], 'text_encoder_2': ['transformers', 'CLIPTextModelWithProjection'], 'tokenizer': ['transformers', 'CLIPTokenizer'], 'tokenizer_2': ['transformers', 'CLIPTokenizer'], 'unet': ['diffusers', 'UNet2DConditionModel'], 'vae': ['diffusers', 'AutoencoderKL']}
"""
# copied from https://civitai.com/api/v1/model-versions/242807
# Yeah, this is ridiculously bloated, but that's what you get.
RepoCivitaiVersionMetadata1 = b"""
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"""
# copied from https://civitai.com/api/v1/models/215485
# Yeah, this is ridiculously bloated, but that's what you get.
RepoCivitaiModelMetadata1 = b"""
{"id":215485,"name":"SDXL Turbo-LoRA-Stable Diffusion XL faster than light","description":"<p>v1: 128 dim</p><p>v1-64dim: half dimension, similar quality</p><p>v1-16dim: 94MB, s<span style=\\"color:rgb(193, 194, 197)\\">imilar quality(but different results in some prompts... 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"""
# HF Metadata for testing heuristic import of a TI from HuggingFace
HFTestLoraMetadata = b"""
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"""
Reference in New Issue View Git Blame Copy Permalink