fix load error & update readme
Browse files- README.md +2 -2
- image_processor/merges.txt +0 -0
- image_processor/preprocessor_config.json +0 -1
- image_processor/special_tokens_map.json +0 -30
- image_processor/tokenizer.json +0 -0
- image_processor/tokenizer_config.json +0 -32
- image_processor/vocab.json +0 -0
- model_index.json +1 -1
README.md
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@@ -158,7 +158,7 @@ import torch
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from diffusers import AutoencoderKLWan, WanImageToVideoPipeline
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from diffusers.utils import export_to_video, load_image
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# Available models: Wan-AI/Wan2.1-I2V-14B-480P-Diffusers, Wan-AI/Wan2.1-I2V-
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model_id = "Wan-AI/Wan2.1-I2V-14B-480P-Diffusers"
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vae = AutoencoderKLWan.from_pretrained(model_id, subfolder="vae", torch_dtype=torch.float32)
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pipe = WanImageToVideoPipeline.from_pretrained(model_id, vae=vae, torch_dtype=torch.bfloat16)
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@@ -177,7 +177,7 @@ negative_prompt = "Bright tones, overexposed, static, blurred details, subtitles
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output = pipe(
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image=image, prompt=prompt, negative_prompt=negative_prompt, num_frames=81, guidance_scale=5.0
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).frames[0]
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export_to_video(output, "output.mp4", fps=
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```
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##### (2) Using Prompt Extention
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from diffusers import AutoencoderKLWan, WanImageToVideoPipeline
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from diffusers.utils import export_to_video, load_image
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# Available models: Wan-AI/Wan2.1-I2V-14B-480P-Diffusers, Wan-AI/Wan2.1-I2V-14B-720P-Diffusers
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model_id = "Wan-AI/Wan2.1-I2V-14B-480P-Diffusers"
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vae = AutoencoderKLWan.from_pretrained(model_id, subfolder="vae", torch_dtype=torch.float32)
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pipe = WanImageToVideoPipeline.from_pretrained(model_id, vae=vae, torch_dtype=torch.bfloat16)
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output = pipe(
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image=image, prompt=prompt, negative_prompt=negative_prompt, num_frames=81, guidance_scale=5.0
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).frames[0]
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export_to_video(output, "output.mp4", fps=16)
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```
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##### (2) Using Prompt Extention
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image_processor/merges.txt
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image_processor/preprocessor_config.json
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0.26130258,
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0.27577711
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],
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"processor_class": "CLIPProcessor",
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"resample": 3,
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"rescale_factor": 0.00392156862745098,
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"size": {
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0.26130258,
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0.27577711
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],
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"resample": 3,
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"rescale_factor": 0.00392156862745098,
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"size": {
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image_processor/special_tokens_map.json
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{
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"bos_token": {
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"content": "<|startoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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"unk_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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image_processor/tokenizer.json
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image_processor/tokenizer_config.json
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{
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"49406": {
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"content": "<|startoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"49407": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"bos_token": "<|startoftext|>",
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"clean_up_tokenization_spaces": false,
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"do_lower_case": true,
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"eos_token": "<|endoftext|>",
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"errors": "replace",
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"extra_special_tokens": {},
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"model_max_length": 77,
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"pad_token": "<|endoftext|>",
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"processor_class": "CLIPProcessor",
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"tokenizer_class": "CLIPTokenizer",
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"unk_token": "<|endoftext|>"
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}
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image_processor/vocab.json
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model_index.json
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],
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"image_processor": [
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"transformers",
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"
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],
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"scheduler": [
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"diffusers",
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],
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"image_processor": [
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"transformers",
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"CLIPImageProcessor"
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],
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"scheduler": [
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"diffusers",
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