Add files using upload-large-folder tool
Browse files
.gitattributes
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@@ -57,3 +57,5 @@ wan/wan2.2_t2v_low_noise_14B_fp8_scaled.png filter=lfs diff=lfs merge=lfs -text
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zimageturbo/moodyPornMix_zitV3.png filter=lfs diff=lfs merge=lfs -text
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zimageturbo/moodyPornMix_zitV3FP8.png filter=lfs diff=lfs merge=lfs -text
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zimageturbo/moodyPornMix_zitV6.png filter=lfs diff=lfs merge=lfs -text
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zimageturbo/moodyPornMix_zitV3.png filter=lfs diff=lfs merge=lfs -text
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zimageturbo/moodyPornMix_zitV3FP8.png filter=lfs diff=lfs merge=lfs -text
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zimageturbo/moodyPornMix_zitV6.png filter=lfs diff=lfs merge=lfs -text
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wan/Wan2.2-I2V-A14B-LowNoise-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
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wan/Wan2.2-I2V-A14B-HighNoise-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
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asd.py
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@@ -6,9 +6,11 @@ api = HfApi()
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# Define your repository details
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repo_id = "asdasdasd1234567890/diffusion_models"
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-
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)
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# Define your repository details
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repo_id = "asdasdasd1234567890/diffusion_models"
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# Use upload_large_folder for better stability with large data
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api.upload_large_folder(
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folder_path=".", # The local folder to upload
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repo_id=repo_id, # The destination repository
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repo_type="model", # Type of repository (model, dataset, or space)
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# path_in_repo="", # Optional: specify a subfolder in the repo
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# num_workers=8, # Optional: number of threads for hashing/uploading
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)
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wan/Wan2.2-I2V-A14B-HighNoise-Q8_0.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:619a66032c28e1b27882dfccc0bf93e51edb1491e8d4e4c6f291726abe4de8aa
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size 15406608896
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wan/Wan2.2-I2V-A14B-LowNoise-Q8_0.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:029c7adc74de4f7804905c5e4fb9335d0862cd2fc37191df526aeac13b64425e
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size 15406608896
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zimageturbo/moodyPornMix_zitV7.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c0ffae8b7c4ad663f0d07c9e75a281f25b1ec3a82c835c8d59b78268df7d92cb
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size 12309879344
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zimageturbo/zimageTurboNSFWBy_2602NSFWFP8.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8dff149fbc5763e483d2a6fb375a5dffebb0ac54573ae2c0781cef7fb651b488
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size 6154969704
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