GitLab

* add: integration tests for SDXL LoRAs.

* change pipeline class.

* fix assertion values.

* print values again.

* let's see.

* let's see.

* let's see.

* finish

Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* added placeholder token concatenation during training

* Update examples/textual_inversion/textual_inversion.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

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Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* lower num inference steps and precision checkk

* fix flaky inpaint tests

* remove unsued imports

* set unet default attn processor

make style
Co-authored-by: yiyixuxu <yixu310@gmail,com>

* add xformer

* enable_sequential_cpu_offload

* style

* Update src/diffusers/pipelines/kandinsky/pipeline_kandinsky_combined.py
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

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Co-authored-by: yiyixuxu <yixu310@gmail,com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* add sdxl to prompt weighting

* Update docs/source/en/using-diffusers/weighted_prompts.md

* Update docs/source/en/using-diffusers/weighted_prompts.md

* add sdxl to prompt weighting

* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Apply suggestions from code review

* Update docs/source/en/using-diffusers/weighted_prompts.md

* Apply suggestions from code review

* correct

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Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Support different strength

* run make style

delete the duplicated code from the controlnet-img-2-img pipelines

Fix the typo that causes `omegaconf.errors.ConfigAttributeError: Missing key parms`

fix typo to ensure `make test-examples` work correctly

Allow controlnets to be loaded (from ckpt) in a parallel thread with a SD model (ckpt), and speed it up slightly (#4298)

Faster controlnet model instantiation, and allow controlnets to be loaded (from ckpt) in a parallel thread with a SD model (ckpt) without  tensor errors (race condition)

* first draft

* add blog link

* Add rank argument to train_dreambooth_lora_sdxl.py

* Update train_dreambooth_lora_sdxl.py

Fix typerror in pipeline handling for MultiControlNets which only contain a single ControlNet (#4454)

* Handle single controlnet in multicontrolnet

* Fix formatting

* type conversion

Default value of `control_guidance_start` and `control_guidance_end` in `StableDiffusionControlNetPipeline.check_inputs` causes `TypeError: object of type 'float' has no len()`

Proposed fix: 
Convert `control_guidance_start` and `control_guidance_end` to list if float

* Update src/diffusers/pipelines/controlnet/pipeline_controlnet.py

* Update src/diffusers/pipelines/controlnet/pipeline_controlnet.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/diffusers/pipelines/controlnet/pipeline_controlnet.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

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Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* move tests to nightly

* clean up code quality issues

* more clean up

Prevent online access when desired

- Bypass requests with config files option added to download_from_original_stable_diffusion_ckpt
- Adds local_files_only flags to all from_pretrained requests

Accept pooled_prompt_embeds in the SDXL Controlnet pipeline. Fixes an error if prompt_embeds are passed. (#4309)

* Accept pooled_prompt_embeds in the SDXL Controlnet pipeline. Fixes an error if prompt_embeds are passed.

* Add a test for pooled prompt embeds

* can call encode_prompt with out setting a text encoder instance variable

* fix

* add: model implementation of tiny autoencoder.

* add: inits.

* push the latest devs.

* add: conversion script and finish.

* add: scaling factor args.

* debugging

* fix denormalization.

* fix: positional argument.

* handle use_torch_2_0_or_xformers.

* handle post_quant_conv

* handle dtype

* fix: sdxl image processor for tiny ae.

* fix: sdxl image processor for tiny ae.

* unify upcasting logic.

* copied from madness.

* remove trailing whitespace.

* set is_tiny_vae = False

* address PR comments.

* change to AutoencoderTiny

* make act_fn an str throughout

* fix: apply_forward_hook decorator call

* get rid of the special is_tiny_vae flag.

* directly scale the output.

* fix dummies?

* fix: act_fn.

* get rid of the Clamp() layer.

* bring back copied from.

* movement of the blocks to appropriate modules.

* add: docstrings to AutoencoderTiny

* add: documentation.

* changes to the conversion script.

* add doc entry.

* settle tests.

* style

* add one slow test.

* fix

* fix 2

* fix 2

* fix: 4

* fix: 5

* finish integration tests

* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* style

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Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* add zero123 pipeline to community

* add community doc

* reformat

* update zero123 pipeline, including cc_projection within diffusers; add convert ckpt scripts; support diffusers weights

* first draft

* tidy api

* apply feedback

* mdx to md

* apply feedback

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

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Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* temporarily disable text encoder loras.

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debbuging.

* modify doc.

* rename tests.

* print slices.

* fix: assertions

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

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Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* update documentation

* minor

fix guidance scale value

fix
Co-authored-by: yiyixuxu <yixu310@gmail,com>

fix
Co-authored-by: yiyixuxu <yixu310@gmail,com>

* update expected slice so img2img compile tests pass

* use default attn processor

* use default attn processor and update expected slice value to pass test

* use default attn processor

* set default attn processor and update expected slice

* set default attn processor and change precision for check

* set unet to use default attn processor

* fixed typo

* updated doc to be consistent in naming

* make style/quality

* preprocessing for 4 channels and not 6

* make style

* test for 4c

* make style/quality

* fixed test on cpu

* fixed doc typo

* changed default ckpt to 4c

* Update pipeline_stable_diffusion_ldm3d.py

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Co-authored-by: Aflalo <estellea@isl-iam1.rr.intel.com>
Co-authored-by: Aflalo <estellea@isl-gpu33.rr.intel.com>
Co-authored-by: Aflalo <estellea@isl-gpu38.rr.intel.com>

Update unet_1d.py

highlighting the way the modules are actually fed in the main code as the order matters because no skip block attaches time embeds whilst others do not

* Clean up duplicate line

* Clean up duplicate lines

* Clean up duplicate line

[SDXL] Fix dummy imports