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InvokeAI/ldm/models/diffusion
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Kevin Turner d0abe13b60 performance(InvokeAIDiffuserComponent): add low-memory path for calculating conditioned and unconditioned predictions sequentially
Proof of concept. Still needs to be wired up to options or heuristics.
2023-02-19 16:04:54 -08:00
..
__init__.py
add code
2021-12-21 03:23:41 +01:00
classifier.py
prettified all the code using "blue" at the urging of @tildebyte
2022-08-26 03:15:42 -04:00
cross_attention_control.py
rename override/restore methods to better reflect what they actually do
2023-01-30 16:23:44 +01:00
cross_attention_map_saving.py
Save and display per-token attention maps (#1866)
2022-12-10 15:57:41 +01:00
ddim.py
rename override/restore methods to better reflect what they actually do
2023-01-30 16:23:44 +01:00
ddpm.py
use 🧨diffusers model (#1583)
2023-01-15 09:22:46 -05:00
ksampler.py
rename override/restore methods to better reflect what they actually do
2023-01-30 16:23:44 +01:00
plms.py
rename override/restore methods to better reflect what they actually do
2023-01-30 16:23:44 +01:00
sampler.py
Global replace [ \t]+$, add "GB" (#1751)
2022-12-19 16:36:39 +00:00
shared_invokeai_diffusion.py
performance(InvokeAIDiffuserComponent): add low-memory path for calculating conditioned and unconditioned predictions sequentially
2023-02-19 16:04:54 -08:00
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