Commit Graph

2336 Commits

Author SHA1 Message Date
Ryan Dick
0c5e11f521 Fix FLUX output image clamping. And a few other minor fixes to make inference work with the full bfloat16 FLUX transformer model. 2024-08-26 20:17:50 -04:00
Brandon Rising
a63f842a13 Select dev/schnell based on state dict, use correct max seq len based on dev/schnell, and shift in inference, separate vae flux params into separate config 2024-08-26 20:17:50 -04:00
Brandon Rising
4bd7fda694 Install sub directories with folders correctly, ensure consistent dtype of tensors in flux pipeline and vae 2024-08-26 20:17:50 -04:00
Brandon Rising
81f0886d6f Working inference node with quantized bnb nf4 checkpoint 2024-08-26 20:17:50 -04:00
Brandon Rising
2eb87f3306 Remove unused param on _run_vae_decoding in flux text to image 2024-08-26 20:17:50 -04:00
Brandon Rising
723f3ab0a9 Add nf4 bnb quantized format 2024-08-26 20:17:50 -04:00
Brandon Rising
1bd90e0fd4 Run ruff, setup initial text to image node 2024-08-26 20:17:50 -04:00
Brandon Rising
436f18ff55 Add backend functions and classes for Flux implementation, Update the way flux encoders/tokenizers are loaded for prompt encoding, Update way flux vae is loaded 2024-08-26 20:17:50 -04:00
Brandon Rising
cde9696214 Some UI cleanup, regenerate schema 2024-08-26 20:17:50 -04:00
Brandon Rising
2d9042fb93 Run Ruff 2024-08-26 20:17:50 -04:00
Brandon Rising
9ed53af520 Run Ruff 2024-08-26 20:17:50 -04:00
Brandon Rising
56fda669fd Manage quantization of models within the loader 2024-08-26 20:17:50 -04:00
Brandon Rising
5f59a828f9 Setup flux model loading in the UI 2024-08-26 20:17:50 -04:00
Ryan Dick
1fa6bddc89 WIP on moving from diffusers to FLUX 2024-08-26 20:17:50 -04:00
Ryan Dick
f01f56a98e LLM.int8() quantization is working, but still some rough edges to solve. 2024-08-26 20:17:50 -04:00
Ryan Dick
99b0f79784 Clean up NF4 implementation. 2024-08-26 20:17:50 -04:00
Ryan Dick
e1eb104345 NF4 inference working 2024-08-26 20:17:50 -04:00
Ryan Dick
a52c899c6d Split a FluxTextEncoderInvocation out from the FluxTextToImageInvocation. This has the advantage that we benfit from automatic caching when the prompt isn't changed. 2024-08-26 20:17:50 -04:00
Ryan Dick
eeabb7ebe5 Make quantized loading fast for both T5XXL and FLUX transformer. 2024-08-26 20:17:50 -04:00
Ryan Dick
3cf0365a35 Make float16 inference work with FLUX on 24GB GPU. 2024-08-26 20:17:50 -04:00
Ryan Dick
5870742bb9 Add support for 8-bit quantizatino of the FLUX T5XXL text encoder. 2024-08-26 20:17:50 -04:00
Ryan Dick
01d8c62c57 Make 8-bit quantization save/reload work for the FLUX transformer. Reload is still very slow with the current optimum.quanto implementation. 2024-08-26 20:17:50 -04:00
Ryan Dick
55a242b2d6 Minor improvements to FLUX workflow. 2024-08-26 20:17:50 -04:00
Ryan Dick
45263b339f Got FLUX schnell working with 8-bit quantization. Still lots of rough edges to clean up. 2024-08-26 20:17:50 -04:00
Ryan Dick
3319491861 Use the FluxPipeline.encode_prompt() api rather than trying to run the two text encoders separately. 2024-08-26 20:17:50 -04:00
Ryan Dick
b39031ea53 First draft of FluxTextToImageInvocation. 2024-08-26 20:17:50 -04:00
Mary Hipp
3e7923d072 fix(api): allow updating of type for style preset 2024-08-19 16:12:39 -04:00
psychedelicious
5a24b89e54 fix(app): include style preset defaults in build 2024-08-16 21:47:06 +10:00
psychedelicious
7a3eaa8da9 feat(api): save file as prompt_templates.csv 2024-08-16 09:51:46 +10:00
Mary Hipp
599db7296f export only user style presets 2024-08-15 16:07:32 -04:00
Mary Hipp
24f298283f clean up, add context menu to import/download templates 2024-08-15 12:39:55 -04:00
Mary Hipp
68dac6349d Merge remote-tracking branch 'origin/main' into maryhipp/export-presets 2024-08-15 11:21:56 -04:00
psychedelicious
60d754d1df feat(api): tidy style presets import logic
- Extract parsing into utility function
- Log import errors
- Forbid extra properties on the imported data
2024-08-15 09:47:49 -04:00
psychedelicious
bcbf8b6bd8 feat(ui): revert to using {prompt} for prompt template placeholder 2024-08-15 09:47:49 -04:00
psychedelicious
356661459b feat(api): support JSON for preset imports
This allows us to support Fooocus format presets.
2024-08-15 09:47:49 -04:00
psychedelicious
deb917825e feat(api): use pydantic validation during style preset import
- Enforce name is present and not an empty string
- Provide empty string as default for positive and negative prompt
- Add `positive_prompt` as validation alias for `prompt` field
- Strip whitespace automatically
- Create `TypeAdapter` to validate the whole list in one go
2024-08-15 09:47:49 -04:00
Mary Hipp
2d58754789 feat(api): add endpoint to take a CSV, parse it, validate it, and create many style preset entries 2024-08-15 09:47:49 -04:00
Mary Hipp
a9014673a0 wip export 2024-08-15 09:00:11 -04:00
psychedelicious
982c266073 tidy: remove extra characters in prompt templates 2024-08-14 12:31:57 +10:00
Mary Hipp
e0d3927265 feat: add flag for allowPrivateStylePresets that shows a type field when creating a style preset 2024-08-13 14:08:54 -04:00
Mary Hipp
e5f7c2a9b7 add type safety / validation to form data payloads and allow type to be passed through api 2024-08-13 13:00:31 -04:00
Mary Hipp
b0760710d5 add the rest of default style presets, update image service to return default images correctly by name, add tooltip popover to images in UI 2024-08-13 11:33:15 -04:00
Mary Hipp
764accc921 update config docstring 2024-08-12 15:17:40 -04:00
Mary Hipp
9c732ac3b1 Merge remote-tracking branch 'origin/main' into maryhipp/style-presets 2024-08-12 14:53:45 -04:00
Mary Hipp
4837e578b2 api: update dir path for style preset images, update payload for create/update formdata 2024-08-12 12:00:14 -04:00
psychedelicious
f6b8970bd1 fix(app): create reference to events task to prevent accidental GC
This wasn't a problem, but it's advised in the official docs so I've done it.
2024-08-12 07:49:58 +10:00
psychedelicious
29325a7214 fix(app): use asyncio queue and existing event loop for events
Around the time we (I) implemented pydantic events, I noticed a short pause between progress images every 4 or 5 steps when generating with SDXL. It didn't happen with SD1.5, but I did notice that with SD1.5, we'd get 4 or 5 progress events simultaneously. I'd expect one event every ~25ms, matching my it/s with SD1.5. Mysterious!

Digging in, I found an issue is related to our use of a synchronous queue for events. When the event queue is empty, we must call `asyncio.sleep` before checking again. We were sleeping for 100ms.

Said another way, every time we clear the event queue, we have to wait 100ms before another event can be dispatched, even if it is put on the queue immediately after we start waiting. In practice, this means our events get buffered into batches, dispatched once every 100ms.

This explains why I was getting batches of 4 or 5 SD1.5 progress events at once, but not the intermittent SDXL delay.

But this 100ms wait has another effect when the events are put on the queue in intervals that don't perfectly line up with the 100ms wait. This is most noticeable when the time between events is >100ms, and can add up to 100ms delay before the event is dispatched.

For example, say the queue is empty and we start a 100ms wait. Then, immediately after - like 0.01ms later - we push an event on to the queue. We still need to wait another 99.9ms before that event will be dispatched. That's the SDXL delay.

The easy fix is to reduce the sleep to something like 0.01 seconds, but this feels kinda dirty. Can't we just wait on the queue and dispatch every event immediately? Not with the normal synchronous queue - but we can with `asyncio.Queue`.

I switched the events queue to use `asyncio.Queue` (as seen in this commit), which lets us asynchronous wait on the queue in a loop.

Unfortunately, I ran into another issue - events now felt like their timing was inconsistent, but in a different way than with the 100ms sleep. The time between pushing events on the queue and dispatching them was not consistently ~0ms as I'd expect - it was highly variable from ~0ms up to ~100ms.

This is resolved by passing the asyncio loop directly into the events service and using its methods to create the task and interact with the queue. I don't fully understand why this resolved the issue, because either way we are interacting with the same event loop (as shown by `asyncio.get_running_loop()`). I suppose there's some scheduling magic happening.
2024-08-12 07:49:58 +10:00
psychedelicious
8ecf72838d fix(api): image downloads with correct filename
Closes #6730
2024-08-10 09:53:56 -04:00
psychedelicious
f66584713c fix(api): sort OpenAPI schema properties for InvocationOutputMap
This makes the schema output deterministic!
2024-08-10 07:45:23 -04:00
psychedelicious
33624fc2fa fix(api): duplicate operation id for get_image_full
There's a FastAPI bug that results in the OpenAPI spec outputting the same operation id for each operation when specifying multiple HTTP methods.

- Discussion: https://github.com/tiangolo/fastapi/discussions/8449
- Pending PR to fix: https://github.com/tiangolo/fastapi/pull/10694

In our case, we have a `get_image_full` endpoint that handles GET and HEAD.

This results in an invalid OpenAPI schema. A workaround is to use two route decorators for the operation handler. This works as expected - HEAD requests get the header, and GET requests get the resource. And the OpenAPI schema is valid.
2024-08-10 07:45:23 -04:00