Kyle Schouviller
85b020f76c
[nodes] Add latent nodes, storage, and fix iteration bugs ( #3091 )
...
* Add latents nodes.
* Fix iteration expansion.
* Add collection generator nodes, math nodes.
* Add noise node.
* Add some graph debug commands to the CLI.
* Fix negative id linking in CLI.
* Fix a CLI bug with multiple links per node.
2023-04-06 04:06:05 +00:00
psychedelicious
4221cf7731
fix(nodes): fix schema generation for output classes
...
All output classes need to have their properties flagged as `required` for the schema generation to work as needed.
2023-03-26 17:20:10 +11:00
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
8ca91b1774
add restoration services to nodes
2023-03-11 17:00:00 -05:00
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
ab35c241c2
protect invocations against black autoformatting
2023-03-03 15:25:08 -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
