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Using prompt [RAW photo, (high detailed skin:1.2), 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3] and negative prompt [(overexposed, underexposed, out of focus, deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck] will cause error.
Currently, prompt_processors cannot handle long prompts.
File` "/data/shaoruizhi/threestudio/threestudio/models/prompt_processors/stable_diffusion_prompt_processor.py", line 91, in spawn_func
text_embeddings = text_encoder(tokens.input_ids)[0]
File "/data/shaoruizhi/anaconda3/envs/tensor4d/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/data/shaoruizhi/anaconda3/envs/tensor4d/lib/python3.9/site-packages/accelerate/hooks.py", line 165, in new_forward
output = old_forward(*args, **kwargs)
File "/data/shaoruizhi/anaconda3/envs/tensor4d/lib/python3.9/site-packages/transformers/models/clip/modeling_clip.py", line 822, in forward
return self.text_model(
File "/data/shaoruizhi/anaconda3/envs/tensor4d/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/data/shaoruizhi/anaconda3/envs/tensor4d/lib/python3.9/site-packages/accelerate/hooks.py", line 165, in new_forward
output = old_forward(*args, **kwargs)
File "/data/shaoruizhi/anaconda3/envs/tensor4d/lib/python3.9/site-packages/transformers/models/clip/modeling_clip.py", line 730, in forward
hidden_states = self.embeddings(input_ids=input_ids, position_ids=position_ids)
File "/data/shaoruizhi/anaconda3/envs/tensor4d/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/data/shaoruizhi/anaconda3/envs/tensor4d/lib/python3.9/site-packages/accelerate/hooks.py", line 165, in new_forward
output = old_forward(*args, **kwargs)
File "/data/shaoruizhi/anaconda3/envs/tensor4d/lib/python3.9/site-packages/transformers/models/clip/modeling_clip.py", line 230, in forward
embeddings = inputs_embeds + position_embeddings
RuntimeError: The size of tensor a (134) must match the size of tensor b (77) at non-singleton dimension 1
The text was updated successfully, but these errors were encountered:
Using prompt [RAW photo, (high detailed skin:1.2), 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3] and negative prompt [(overexposed, underexposed, out of focus, deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck] will cause error.
Currently, prompt_processors cannot handle long prompts.
The text was updated successfully, but these errors were encountered: