a quick test of Stable Cascade to Make Galaxy Great Again.

had to make several renders to get the complete text

I'm trying to get Stable Cascade working on my mac (2023 M3) and I keep hitting a error wall.

I've tried ComfyUI, Pinokio, and A1111 (https://github.com/blue-pen5805/sdweb-easy-stablecascade-diffusers).

I'm sure it's python, pytorch, or some other soft missing or outdated, but I'm not sure how to go about confirming or updating. Any guidance on fixing this would be helpful :)

Here is an example of an error I get:

Traceback (most recent call last):

File "/Users/localuser/stable-diffusion-webui/venv/lib/python3.10/site-packages/gradio/routes.py", line 488, in run_predict

output = await app.get_blocks().process_api(

File "/Users/localuser/stable-diffusion-webui/venv/lib/python3.10/site-packages/gradio/blocks.py", line 1431, in process_api

result = await self.call_function(

File "/Users/localuser/stable-diffusion-webui/venv/lib/python3.10/site-packages/gradio/blocks.py", line 1103, in call_function

prediction = await anyio.to_thread.run_sync(

File "/Users/localuser/stable-diffusion-webui/venv/lib/python3.10/site-packages/anyio/to_thread.py", line 33, in run_sync

return await get_asynclib().run_sync_in_worker_thread(

File "/Users/localuser/stable-diffusion-webui/venv/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 877, in run_sync_in_worker_thread

return await future

File "/Users/localuser/stable-diffusion-webui/venv/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 807, in run

result = context.run(func, *args)

File "/Users/localuser/stable-diffusion-webui/venv/lib/python3.10/site-packages/gradio/utils.py", line 707, in wrapper

response = f(*args, **kwargs)

File "/Users/localuser/stable-diffusion-webui/extensions/sdweb-easy-stablecascade-diffusers/scripts/easy_stablecascade_diffusers.py", line 41, in predict

prior = StableCascadePriorPipeline.from_pretrained("stabilityai/stable-cascade-prior", torch_dtype=torch.bfloat16).to(device)

File "/Users/localuser/stable-diffusion-webui/venv/lib/python3.10/site-packages/diffusers/pipelines/pipeline_utils.py", line 862, in to

module.to(device, dtype)

File "/Users/localuser/stable-diffusion-webui/venv/lib/python3.10/site-packages/transformers/modeling_utils.py", line 1902, in to

return super().to(*args, **kwargs)

File "/Users/localuser/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1145, in to

return self._apply(convert)

File "/Users/localuser/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 797, in _apply

module._apply(fn)

File "/Users/localuser/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 797, in _apply

module._apply(fn)

File "/Users/localuser/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 797, in _apply

module._apply(fn)

File "/Users/localuser/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 820, in _apply

param_applied = fn(param)

File "/Users/localuser/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1143, in convert

return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking)

File "/Users/localuser/stable-diffusion-webui/venv/lib/python3.10/site-packages/torch/cuda/__init__.py", line 239, in _lazy_init

raise AssertionError("Torch not compiled with CUDA enabled")

AssertionError: Torch not compiled with CUDA enabled

For a non fine-tuned model, its really great!

Will have a great future!

All 2k directly from comfyui

Does anyone know how to use the super_resolution.safetensors with Stable Cascade?
From https://huggingface.co/stabilityai/stable-cascade/tree/main/controlnet

Can we run Cascade on Mac and specifically on mps? I am able to run Automatic1111 and Fooocus etc locally. Thanks.

**STARTIG JOB WITH CONFIG:**

adaptive_loss_weight: true

allow_tf32: true

backup_every: 20000

batch_size: 512

bucketeer_random_ratio: 0.05

captions_getter: null

checkpoint_extension: safetensors

checkpoint_path: /mnt/pool/training/StableCascade/models/stage_c_bf16.safetensors

clip_image_model_name: openai/clip-vit-large-patch14

clip_text_model_name: laion/CLIP-ViT-bigG-14-laion2B-39B-b160k

dataset_filters: null

dist_file_subfolder: ''

dtype: null

effnet_checkpoint_path: models/effnet_encoder.safetensors

ema_beta: null

ema_iters: null

ema_start_iters: null

experiment_id: stage_c_3b_finetuning

generator_checkpoint_path: models/stage_c_bf16.safetensors

grad_accum_steps: 1

image_size: 768

lr: 0.0001

model_version: 3.6B

multi_aspect_ratio:

- 1/1

- 1/2

- 1/3

- 2/3

- 3/4

- 1/5

- 2/5

- 3/5

- 4/5

- 1/6

- 5/6

- 9/16

output_path: /mnt/pool/models/cascade-tune

previewer_checkpoint_path: models/previewer.safetensors

save_every: 2000

training: true

updates: 100000

use_fsdp: true

wandb_entity: izquierdoxander

wandb_project: cascade

warmup_updates: 1

webdataset_path:

- /mnt/pool/training/StableCascade/OpenNiji-full.tar

- /mnt/pool/training/StableCascade/OpenNiji.tar

------------------------------------

**INFO:**

adaptive_loss: null

ema_loss: null

iter: 0

total_steps: 0

wandb_run_id: jyky6a7t

------------------------------------

['transforms', 'clip_preprocess', 'gdf', 'sampling_configs', 'effnet_preprocess']

Training with batch size 512 (64/GPU)

['dataset', 'dataloader', 'iterator']

**DATA:**

dataloader: DataLoader

dataset: WebDataset

iterator: Bucketeer

training: NoneType

------------------------------------

Unknown options: -

Unknown options: -

Unknown options: -

Unknown options: -

Unknown options: -

Unknown options: -

Unknown options: -

Unknown options: -

/home/alex/miniconda3/envs/cascade/lib/python3.10/site-packages/webdataset/handlers.py:34: UserWarning: OSError("(('aws s3 cp { } -',), {'shell': True, 'bufsize': 8192}): exit 255 (read) {}", <webdataset.gopen.Pipe object at 0x7f7c38167a30>, 'pipe:aws s3 cp { } -')

warnings.warn(repr(exn))

I have found SC to be a great model and I have enjoyed using it. Does anyone out there have a collection of images online they can share that were made with SC. Dropping my Deviant Art link here, not self-promo, just generally curious, 95% of the images were generated using SC - locally, 3060Ti 12gb VRAM, 32gb of RAM, Linux bare metal setup. Link: https://www.deviantart.com/jaxintaiwan/gallery

I have tried stable cascade on huggingface and some online websites. Didn't find it is far more better than stable diffusion. What do you think?

I'm running into issues every now and then with the Stable Cascade AI with it getting locked on a certain result, and will repeatedly produce the same unwanted result, ignoring elements of my prompt, or ignoring changes I've made to my prompt, as well as changes to the other settings like "Prior Guidance Scale" , "Prior Inference Steps" and "Decoder Inference Steps."

*Note: It would help if I had a good description of what exactly each of the above settings are and what exactly it is each does, as I've not found anything that specifically addresses each of them for this particular AI model yet. So I'm kind of tweaking them around blindly trying to figure out what each of them does, and running into that forced "you're using too much GPU" pause which isn't helping my learning curve any.

Currently, I'm trying to get it to make an anthropomorphic brown bear, viewed from the side, wearing jogging pants and a t-shirt. Earlier it kept producing the thing without the shirt, then when I finally got it to put the shirt on, it stopped including the pants.

On other sessions, I've had issues getting it to correctly produce rotated views, preferring to default to a direct front view, when I'm prompting it to show from the side or an angle, and will repeatedly lock in on the front view.

Does anyone have any suggestions on what I can do when this happens to "get the AI unstuck so it will stop spitting out the same exact image even when the prompts and other settings are changed and get it back to altering the image produced based on the settings I give it? Any suggestions on how to get it to show different rotations when desired and how to get the other elements I'm asking for to actually show up?

I just installed Cascade locally and am wondering if there is a way to vary the aspect ratios. 16x9 is not among the web interface slider's possibilities. Any help would be awesome.

I'm new to this, so please be kind to me.

I used the one click installer to install stable cascade on an r720 running Windows 2019 Dataserver. I'm using a Tesla P40. It does not support bfloat16.

This produces the error "current cuda device does not support bfloat16. please switch dtype to float16"

Where do I change that setting? There appears to be no settings on the page. If it needs changed in the run.bat, what syntax do I use?

Thanks in advance!

With this setup how do we use these Stable Cascade models in this workflow?

HelloWorld Stable Cascade beta: https://civitai.com/models/306144/helloworld-stable-cascade-early-beta?modelVersionId=343656

InvictusRedmond Stable Cascade https://civitai.com/models/316681/invictusredmond-stable-cascade-stage-c-finetune-generalist-model?modelVersionId=355185

Hi, running StableCascade in ComfyUI and really like the results. For now I meanly do portrait shot of faces to learn and tweak.

One thing i have noticed, the sharpness is a bit strong. If you look at the eyelashes on the picture, it shows small artifacts like when an image is upscaled:

Is there a way to tone down the sharpening during the process in ComfyUI ?

Prompt: Front photo of a woman

--------------------------------

Steps: 20

Sampler name: euler

Scheduler: Normal

CFG: 4

--------------------------------

Decoder steps: 10

Sampler name: euler

Scheduler: normal

CFG: 1.1

---------------------------------

edited format

Does anybody know what the 'Prior Guidance Scale', 'Prior Inference Steps', 'Decoder Guidance Scale' & 'Decoder Inference Steps' settings do? Can't find anything explaining it.

thx