Open andreemic opened 1 year ago
I'm getting this when running the original Stable Diffusion notebook with diffusers==0.3.0
╭─────────────────────────────── Traceback (most recent call last) ────────────────────────────────╮ │ in <module>:4 │ │ in run_and_display:6 │ │ │ │ /usr/lib/python3/dist-packages/torch/autograd/grad_mode.py:27 in decorate_context │ │ │ │ 24 │ │ @functools.wraps(func) │ │ 25 │ │ def decorate_context(*args, **kwargs): │ │ 26 │ │ │ with self.clone(): │ │ ❱ 27 │ │ │ │ return func(*args, **kwargs) │ │ 28 │ │ return cast(F, decorate_context) │ │ 29 │ │ │ 30 │ def _wrap_generator(self, func): │ │ │ │ /home/ubuntu/p2p2/ptp_utils.py:164 in text2image_ldm_stable │ │ │ │ 161 │ │ │ 162 │ # set timesteps │ │ 163 │ extra_set_kwargs = {"offset": 1} │ │ ❱ 164 │ model.scheduler.set_timesteps(num_inference_steps, **extra_set_kwargs) │ │ 165 │ for t in tqdm(model.scheduler.timesteps): │ │ 166 │ │ latents = diffusion_step(model, controller, latents, context, t, guidance_scale, │ │ 167 │ │ │ │ /home/ubuntu/.local/lib/python3.8/site-packages/diffusers/schedulers/scheduling_pndm.py:171 in │ │ set_timesteps │ │ │ │ 168 │ │ │ │ 169 │ │ self.ets = [] │ │ 170 │ │ self.counter = 0 │ │ ❱ 171 │ │ self.set_format(tensor_format=self.tensor_format) │ │ 172 │ │ │ 173 │ def step( │ │ 174 │ │ self, │ ╰──────────────────────────────────────────────────────────────────────────────────────────────────╯ AttributeError: 'PNDMScheduler' object has no attribute 'tensor_format'
When updating to diffusers 0.8.0:
AttributeError: 'PNDMScheduler' object has no attribute 'tensor_format' ╭─────────────────────────────── Traceback (most recent call last) ────────────────────────────────╮ │ in <module>:4 │ │ in run_and_display:6 │ │ │ │ /usr/lib/python3/dist-packages/torch/autograd/grad_mode.py:27 in decorate_context │ │ │ │ 24 │ │ @functools.wraps(func) │ │ 25 │ │ def decorate_context(*args, **kwargs): │ │ 26 │ │ │ with self.clone(): │ │ ❱ 27 │ │ │ │ return func(*args, **kwargs) │ │ 28 │ │ return cast(F, decorate_context) │ │ 29 │ │ │ 30 │ def _wrap_generator(self, func): │ │ │ │ /home/ubuntu/p2p2/ptp_utils.py:164 in text2image_ldm_stable │ │ │ │ 161 │ │ │ 162 │ # set timesteps │ │ 163 │ extra_set_kwargs = {"offset": 1} │ │ ❱ 164 │ model.scheduler.set_timesteps(num_inference_steps, **extra_set_kwargs) │ │ 165 │ for t in tqdm(model.scheduler.timesteps): │ │ 166 │ │ latents = diffusion_step(model, controller, latents, context, t, guidance_scale, │ │ 167 │ ╰──────────────────────────────────────────────────────────────────────────────────────────────────╯ TypeError: set_timesteps() got an unexpected keyword argument 'offset'
The PNDM Scheduler API in Diffusers has to receive steps_offset at initialization.
steps_offset
So we either move the "offset = 1" somewhere else, or understand why the first error occurs.
Any ideas?
https://github.com/google/prompt-to-prompt/issues/37#issuecomment-1468319082
laolongboy
commented
1 year ago laolongboy
commented
1 year ago
The Error
I'm getting this when running the original Stable Diffusion notebook with diffusers==0.3.0
When updating to diffusers 0.8.0:
Explanation
The PNDM Scheduler API in Diffusers has to receive
steps_offsetat initialization.So we either move the "offset = 1" somewhere else, or understand why the first error occurs.
Any ideas?