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34402cc46a
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13 Commits

Author SHA1 Message Date
psychedelicious
34402cc46a feat(nodes): add list_images endpoint 
- add `list_images` endpoint at `GET api/v1/images`
- extend `ImageStorageBase` with `list()` method, implemented it for `DiskImageStorage`
- add `ImageReponse` class to for image responses, which includes urls, metadata
- add `ImageMetadata` class (basically a stub at the moment)
- uploaded images now named `"{uuid}_{timestamp}.png"`
- add `models` modules. besides separating concerns more clearly, this helps to mitigate circular dependencies
- improve thumbnail handling
 2023-04-09 13:48:44 +10:00
psychedelicious
c34ac91ff0 fix(nodes): fix cancel; fix callback for img2img, inpaint 2023-03-26 17:07:40 +11:00
Lincoln Stein
dac3c158a5 Merge branch 'main' into feat/preview_predicted_x0 
- resolve conflicts with generate.py invocation
- remove unused symbols that pyflakes complains about
- add **untested** code for passing intermediate latent image to the
  step callback in the format expected.
 2023-03-25 16:07:18 -04:00
psychedelicious
67f8f222d9 fix(nodes): fix step_callback + fast latents generation 
this depends on the small change in #2957
 2023-03-16 20:03:08 +11:00
Kyle Schouviller
0c3b1fe3c4 [nodes] Fixes calls into image to image and inpaint from nodes 2023-03-12 22:12:42 -07:00
Kevin Turner
288cee9611 Merge remote-tracking branch 'origin/main' into feat/preview_predicted_x0 
# Conflicts:
#	invokeai/app/invocations/generate.py
 2023-03-12 20:56:02 -07:00
Lincoln Stein
d612f11c11 initialize InvokeAIGenerator object with model, not manager 2023-03-11 09:06:46 -05:00
Lincoln Stein
95954188b2 remove factory pattern 
Factory pattern is now removed. Typical usage of the InvokeAIGenerator is now:

```
from invokeai.backend.generator import (
    InvokeAIGeneratorBasicParams,
    Txt2Img,
    Img2Img,
    Inpaint,
)
    params = InvokeAIGeneratorBasicParams(
        model_name = 'stable-diffusion-1.5',
        steps = 30,
        scheduler = 'k_lms',
        cfg_scale = 8.0,
        height = 640,
        width = 640
        )
    print ('=== TXT2IMG TEST ===')
    txt2img = Txt2Img(manager, params)
    outputs = txt2img.generate(prompt='banana sushi', iterations=2)

    for i in outputs:
        print(f'image={output.image}, seed={output.seed}, model={output.params.model_name}, hash={output.model_hash}, steps={output.params.steps}')
```

The `params` argument is optional, so if you wish to accept default
parameters and selectively override them, just do this:

```
    outputs = Txt2Img(manager).generate(prompt='banana sushi',
                                        steps=50,
					scheduler='k_heun',
					model_name='stable-diffusion-2.1'
					)
```
 2023-03-10 19:33:04 -05:00
Kevin Turner
fe6858f2d9 feat: use the predicted denoised image for previews 
Some schedulers report not only the noisy latents at the current timestep,
but also their estimate so far of what the de-noised latents will be.

It makes for a more legible preview than the noisy latents do.
 2023-03-09 20:28:06 -08:00
Lincoln Stein
5d37fa6e36 node-based txt2img working without generate 2023-03-09 00:18:29 -05:00
Lincoln Stein
6477e31c1e revert and disable auto-formatting of invocations 2023-03-03 14:59:17 -05:00
Lincoln Stein
60a98cacef all vestiges of ldm.invoke removed 2023-03-03 01:02:00 -05:00
Lincoln Stein
6a990565ff all files migrated; tweaks needed 2023-03-03 00:02:15 -05:00