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Author SHA1 Message Date
Pierre Chapuis cd1fdb5585 fix scheduler device choice 2023-09-21 12:00:19 +02:00
Benjamin Trom 282578ddc0 add Segment Anything (SAM) to foundational models 
Note: dense prompts (i.e. masks) support is still partial (see MaskEncoder)

Co-authored-by: Cédric Deltheil <cedric@deltheil.me>
 2023-09-21 11:44:30 +02:00
Cédric Deltheil 2faff9f57a ldm: properly resize non-square init image 2023-09-20 10:27:22 +02:00
Benjamin Trom 01aeaf3e36 add unit test for multi_diffusion 2023-09-19 15:30:50 +02:00
Pierre Chapuis fc2390ad1c fix legacy wording for refonly control 2023-09-14 11:21:11 +02:00
Pierre Chapuis 0e0c39b4b5 black 2023-09-13 17:02:47 +02:00
Pierre Chapuis c421cfd56c add a test for IP-Adapter + ControlNet 2023-09-13 14:24:53 +02:00
Pierre Chapuis cf9efb57c8 remove useless torch.no_grad() contexts 2023-09-13 11:14:09 +02:00
Cédric Deltheil eea340c6c4 add support for SDXL IP-Adapter 
This only supports the latest SDXL IP-Adapter release (2023.9.8) which
builds upon the ViT-H/14 CLIP image encoder.
 2023-09-12 18:00:39 +02:00
Cédric Deltheil 1b4dcebe06 make scheduler an actual abstract base class 2023-09-12 16:47:47 +02:00
Pierre Chapuis 7a32699cc6 add ensure_find and ensure_find_parent helpers 2023-09-12 14:19:10 +02:00
Pierre Chapuis b69dbc4e5c improve CrossAttentionAdapter test 2023-09-12 11:58:24 +02:00
Pierre Chapuis dc2c3e0163 implement CrossAttentionAdapter using chain operations 2023-09-12 11:58:24 +02:00
Pierre Chapuis 3c056e2231 expose lookup_top_adapter 2023-09-12 11:58:24 +02:00
Cédric Deltheil f4e9707297 sdxl test: refreshed reference image 
The former one was generated using SDXL 0.9 vs 1.0. The new one has been
generated with diffusers:

    import torch
    from diffusers import StableDiffusionXLPipeline, DDIMScheduler

    noise_scheduler = DDIMScheduler(
        num_train_timesteps=1000,
        beta_start=0.00085,
        beta_end=0.012,
        beta_schedule="scaled_linear",
        clip_sample=False,
        set_alpha_to_one=False,
        steps_offset=1,
    )

    base_model_path = "/path/to/stabilityai/stable-diffusion-xl-base-1.0"

    device = "cuda"
    prompt = "a cute cat, detailed high-quality professional image"
    negative_prompt = "lowres, bad anatomy, bad hands, cropped, worst quality"
    seed = 2

    pipe = StableDiffusionXLPipeline.from_pretrained(base_model_path, scheduler=noise_scheduler, torch_dtype=torch.float16, add_watermarker=False)
    pipe = pipe.to(device)
    generator = torch.Generator(device).manual_seed(seed)
    images = pipe(prompt=prompt, negative_prompt=negative_prompt, num_inference_steps=30, generator=generator).images
 2023-09-12 10:59:26 +02:00
Cédric Deltheil 0e38928c8d sdxl test: add missing torch no_grad 2023-09-12 10:59:26 +02:00
Cédric Deltheil 32cba1afd8 test_sdxl_double_encoder: use proper weights 2023-09-11 21:49:24 +02:00
Pierre Chapuis be54cfc016 fix weight loading for float16 LoRAs 2023-09-11 16:14:19 +02:00
Pierre Chapuis dd0cca5855 use float32 reference for textual inversion (fixes tests on CPU) 2023-09-11 16:11:53 +02:00
Cédric Deltheil e5425e2968 make IP-Adapter generic for SD1 and SDXL 2023-09-08 16:38:01 +02:00
limiteinductive 2786117469 implement SDXL + e2e test on random init 2023-09-07 18:34:42 +02:00
Pierre Chapuis 78e69c7da0 fix typo + skip test if weights are not available 2023-09-07 17:31:20 +02:00
Pierre Chapuis d9a461e9b5 stop relying on SDXL 0.9 weights in test 2023-09-07 12:18:38 +02:00
Pierre Chapuis d54a38ae07 do not hardcode a CUDA device in tests 2023-09-06 19:33:48 +02:00
Cédric Deltheil c55917e293 add IP-Adapter support for SD 1.5 
Official repo: https://github.com/tencent-ailab/IP-Adapter
 2023-09-06 15:12:48 +02:00
Cédric Deltheil d4dd45fd4d use Module's load_from_safetensors 
Instead of manual calls to load_state_dict
 2023-09-06 15:06:51 +02:00
Pierre Chapuis 4388968ad3 Update tests/e2e/test_diffusion.py 
Co-authored-by: Cédric Deltheil <355031+deltheil@users.noreply.github.com>
 2023-09-06 11:49:55 +02:00
Pierre Chapuis 547a73e67a clarify the "adapting when a LoRA is injected" issue in tests 2023-09-06 11:49:55 +02:00
Pierre Chapuis 864937a776 support injecting several LoRAs simultaneously 2023-09-06 11:49:55 +02:00
limiteinductive 88efa117bf fix model comparison with custom layers 2023-09-05 12:34:38 +02:00
Cédric Deltheil b933fabf31 unet: get rid of clip_embedding attribute for SD1 
It is implicitly defined by the underlying cross-attention layer. This
also makes it consistent with SDXL.
 2023-09-01 19:23:33 +02:00
Pierre Chapuis e91e31ebd2 check no two controlnets have the same name 2023-09-01 17:47:29 +02:00
Pierre Chapuis d389d11a06 make basic adapters a part of Fluxion 2023-09-01 17:29:48 +02:00
Pierre Chapuis 31785f2059 scope range adapter in latent diffusion 2023-09-01 17:29:48 +02:00
Pierre Chapuis 73813310d0 rename SelfAttentionInjection to ReferenceOnlyControl and vice-versa 2023-09-01 17:29:48 +02:00
Doryan Kaced 9f6733de8e Add concepts learning via textual inversion 2023-08-31 16:07:53 +02:00
Pierre Chapuis 0f476ea18b make high-level adapters Adapters 
This generalizes the Adapter abstraction to higher-level
constructs such as high-level LoRA (targeting e.g. the
SD UNet), ControlNet and Reference-Only Control.

Some adapters now work by adapting child models with
"sub-adapters" that they inject / eject when needed.
 2023-08-31 10:57:18 +02:00
Cédric Deltheil 7dc2e93cff tests: add test for clip image encoder 
This covers a CLIPImageEncoderH model (Stable Diffusion v2-1-unclip)
specifically
 2023-08-30 21:50:01 +02:00
Pierre Chapuis 32c1cfdbb1 add black to CI 2023-08-30 14:50:03 +02:00
Pierre Chapuis 18c84c7b72 shorter import paths 2023-08-29 16:57:40 +02:00
limiteinductive 7ca6bd0ccd implement the ConvertModule class and refactor conversion scripts 2023-08-28 14:39:14 +02:00
Doryan Kaced 3680f9d196 Add support for learned concepts e.g. via textual inversion 2023-08-28 10:37:39 +02:00
limiteinductive 92a21bc21e refactor latent_diffusion module 2023-08-25 12:30:20 +02:00
Pierre Chapuis d311f779c0 test all chain manipulation methods 2023-08-23 17:49:59 +02:00
Pierre Chapuis beacfe816b reordering (match chain.py order) 2023-08-23 17:49:59 +02:00
Pierre Chapuis e05c410a86 split test in two 2023-08-23 17:49:59 +02:00
Pierre Chapuis 337d2aea58 cosmetics 2023-08-23 17:49:59 +02:00
Pierre Chapuis 1065dfe10b add empty __init__.py files to make pytest happy 
(otherwise it wants unique file basenames)
 2023-08-23 17:49:59 +02:00
Pierre Chapuis a0c70ba7aa add a test for StopIteration in walk 2023-08-23 12:15:56 +02:00
Pierre Chapuis dec0d64432 make walk and layers not recurse by default 
There is now a parameter to get the old (recursive) behavior.
 2023-08-23 12:15:56 +02:00
Pierre Chapuis 2ad26a06b0 fix LoRAs on Self target 2023-08-23 12:13:01 +02:00
limiteinductive 3565a4127f implement DoubleTextEncoder for SDXL 2023-08-23 11:05:38 +02:00
Benjamin Trom 8c7298f8cc fix chain slicing with structural copy 2023-08-22 11:44:11 +02:00
limiteinductive e7c1db50e0 turn CLIPTokenizer into a fl.Module 2023-08-22 00:09:01 +02:00
limiteinductive 108fa8f26a add converter layer + tests 2023-08-21 12:09:58 +02:00
limiteinductive 4526d58cd5 update CTOR of CLIPTextEncoder with max_sequence_length 2023-08-21 11:21:12 +02:00
Pierre Chapuis 97b162d9a0 add InformativeDrawings 
https://github.com/carolineec/informative-drawings

This is the preprocessor for the Lineart ControlNet.
 2023-08-16 12:29:09 +02:00
Cédric Deltheil 48f674c433 initial commit 2023-08-04 15:28:41 +02:00