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
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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
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(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)
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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