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Author SHA1 Message Date
Laurent 4360aa046f add test_diffusion_std_random_init_bfloat16 e2e test 2024-10-03 11:05:09 +02:00
Laurent 7b6f97347e update some reference test images 2024-10-01 11:09:57 +02:00
limiteinductive af6c5aecbe add karras sigmas to dpm solver 2024-09-06 15:30:02 +02:00
ily-R 277b0fd837 ella adapter implementation. tested with sd1.5 model 2024-09-04 11:38:22 +02:00
limiteinductive 51dcd7772c implement foreground conditioned ic light 2024-08-12 12:09:23 +02:00
limiteinductive 1de567590b fix typing issues coming from torch 2.4 version ; typing is not guaranteed for torch < 2.4 2024-08-02 12:02:00 +02:00
limiteinductive 09a9dfd494 Add stochastic sampling to DPM solver (SDE)
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2024-07-23 11:13:12 +02:00
Laurent f44ae150a7 improve/add MultiDiffusion and MultiUpscaler e2e tests 
Co-authored-by: limiteinductive <benjamin@lagon.tech>
Co-authored-by: Cédric Deltheil <355031+deltheil@users.noreply.github.com>
 2024-07-11 15:23:02 +02:00
limiteinductive b16cb7fbb6 Add ControlNet Tile e2e test 2024-06-25 09:27:08 +02:00
Pierre Chapuis 8366861aed update IP adapter test references 2024-06-24 17:19:05 +02:00
limiteinductive 15ccdb38f3 Add scale_decay parameter for SD1 ControlNet 2024-06-24 13:21:27 +02:00
limiteinductive f26b6ee00a add static typing to __call__ method for latent_diffusion models ; fix multi_diffusion bug that wasn't taking guidance_scale into account 2024-04-11 12:13:30 +02:00
Pierre Chapuis 72fa17df48 fix slider loras test 2024-03-08 15:43:57 +01:00
Pierre Chapuis c383ff6cf4 fix DPO LoRA loading in tests 2024-03-08 15:43:57 +01:00
Pierre Chapuis 8f614e7647 check hash of downloaded LoRA weights, update DPO refs 
(the DPO LoRA weights have changed: 2699b36e22)
 2024-02-23 12:02:18 +01:00
Laurent da3c3602fb write StyleAligned e2e test 2024-02-15 15:22:47 +01:00
Laurent 7fe392298a write ControlLora e2e tests 2024-02-14 18:20:46 +01:00
Pierre Chapuis 8a2b955bd0 add a test for SDXL + EulerScheduler (deterministic) 2024-02-01 16:17:07 +01:00
Pierre Chapuis 7eb8eb4c68 add support for pytorch 2.2 (2.1 is still supported) 
also bump all dev dependencies to their latest version
 2024-01-31 15:03:06 +01:00
Cédric Deltheil 5634e68fde add end-to-end test for multi-ip adapter 2024-01-31 11:03:49 +01:00
limiteinductive 421da6a3b6 Load Multiple LoRAs with SDLoraManager 2024-01-23 14:12:03 +01:00
hugojarkoff 42b7749630 Fix references for e2e tests 2024-01-19 15:00:03 +01:00
limiteinductive a1f50f3f9d refactor Lora LoraAdapter and the latent_diffusion/lora file 2024-01-18 16:27:38 +01:00
limiteinductive 2b977bc69e fix broken self-attention guidance with ip-adapter 
The #168 and #177 refactorings caused this regression. A new end-to-end
test has been added for proper coverage.

(This fix will be revisited at some point)
 2024-01-16 17:21:24 +01:00
Cédric Deltheil 6dbaec3e56 add end-to-end test for euler scheduler 
Reference image generated with diffusers [1]

[1]: tests/e2e/test_diffusion_ref/README.md#expected-outputs
 2024-01-10 16:53:06 +01:00
limiteinductive c9e973ba41 refactor CrossAttentionAdapter to work with context. 2024-01-08 15:20:23 +01:00
limiteinductive 8bbcf2048d add README bullet point 2023-12-04 15:27:06 +01:00
limiteinductive 90db6ef59d add e2e test for sd15 with karras noise schedule 2023-12-04 15:27:06 +01:00
Cédric Deltheil ab0915d052 add tests for FreeU 2023-11-18 16:15:44 +01:00
limiteinductive 7a62049d54 implement Restart method for latent diffusion 2023-10-12 15:48:43 +02:00
Cédric Deltheil d02be0d10e tests: update ref image for SDXL IP-Adapter plus 
Note: https://pytorch.org/docs/stable/notes/randomness.html

> Completely reproducible results are not guaranteed across PyTorch
> releases [...]
 2023-10-10 14:19:47 +02:00
Cédric Deltheil b80769939d add support for self-attention guidance 
See https://arxiv.org/abs/2210.00939
 2023-10-09 17:33:15 +02:00
Cédric Deltheil 5fc6767a4a add IP-Adapter plus (aka fine-grained features) 2023-09-29 15:23:43 +02:00
Cédric Deltheil f37f25a2e4 add e2e test for T2I-Adapter XL canny 2023-09-25 13:54:26 +02:00
Cédric Deltheil 4301e81eb3 add e2e test for T2I-Adapter depth 
Expected output generated with diffusers' StableDiffusionAdapterPipeline
 2023-09-25 13:54:26 +02:00
Benjamin Trom 01aeaf3e36 add unit test for multi_diffusion 2023-09-19 15:30:50 +02:00
Pierre Chapuis c421cfd56c add a test for IP-Adapter + ControlNet 2023-09-13 14:24:53 +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 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
limiteinductive 2786117469 implement SDXL + e2e test on random init 2023-09-07 18:34:42 +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
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
Doryan Kaced 3680f9d196 Add support for learned concepts e.g. via textual inversion 2023-08-28 10:37:39 +02:00
Cédric Deltheil 48f674c433 initial commit 2023-08-04 15:28:41 +02:00