1ffa8858e7
Move model sampling code to comfy/model_sampling.py
1 year ago
ecb80abb58
Allow ModelSamplingDiscrete to be instantiated without a model config.
1 year ago
111f1b5255
Fix some issues with sampling precision.
1 year ago
7c0f255de1
Clean up percent start/end and make controlnets work with sigmas.
1 year ago
1777b54d02
Sampling code changes.
...
apply_model in model_base now returns the denoised output.
This means that sampling_function now computes things on the denoised
output instead of the model output. This should make things more consistent
across current and future models.
1 year ago
d1d2fea806
Pass extra conds directly to unet.
1 year ago
036f88c621
Refactor to make it easier to add custom conds to models.
1 year ago
e6962120c6
Make sure cond_concat is on the right device.
1 year ago
782a24fce6
Refactor cond_concat into model object.
1 year ago
492db2de8d
Allow having a different pooled output for each image in a batch.
1 year ago
7931ff0fd9
Support SDXL inpaint models.
1 year ago
1c012d69af
It doesn't make sense for c_crossattn and c_concat to be lists.
1 year ago
15adc3699f
Move beta_schedule to model_config and allow disabling unet creation.
1 year ago
a57b0c797b
Fix lowvram model merging.
1 year ago
39ac856a33
ReVision support: unclip nodes can now be used with SDXL.
1 year ago
a2ce9655ca
Refactor unclip code.
1 year ago
9cc12c833d
CLIPVisionEncode can now encode multiple images.
1 year ago
4b957a0010
Initialize the unet directly on the target device.
1 year ago
68be24eead
Remove some prints.
1 year ago
51d5477579
Add key to indicate checkpoint is v_prediction when saving.
1 year ago
3ded1a3a04
Refactor of sampler code to deal more easily with different model types.
1 year ago
ddc6f12ad5
Disable autocast in unet for increased speed.
1 year ago
fcef47f06e
Fix bug.
1 year ago
9b93b920be
Add CheckpointSave node to save checkpoints.
...
The created checkpoints contain workflow metadata that can be loaded by
dragging them on top of the UI or loading them with the "Load" button.
Checkpoints will be saved in fp16 or fp32 depending on the format ComfyUI
is using for inference on your hardware. To force fp32 use: --force-fp32
Anything that patches the model weights like merging or loras will be
saved.
The output directory is currently set to: output/checkpoints but that might
change in the future.
1 year ago
8607c2d42d
Move latent scale factor from VAE to model.
1 year ago
f87ec10a97
Support base SDXL and SDXL refiner models.
...
Large refactor of the model detection and loading code.
1 year ago
c64ca8c0b2
Refactor unCLIP noise augment out of samplers.py
1 year ago
de142eaad5
Simpler base model code.
1 year ago
comfyanonymous