stable-diffusion
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runwayml
Latent Text-to-Image Diffusion
ssl.SSLCertVerificationError: [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: self signed certificate in certificate chain (_ssl.c:997) This line of error keep appearing when i try to inpaint on only a masked area but...
from diffusers import StableDiffusionPipeline model_id = "runwayml/stable-diffusion-v1-5" pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16, revision="fp16") pipe = pipe.to(device) prompt = "a photo of an astronaut riding a horse on mars" image = pipe(prompt).images[0]...
when running with demo script, raise the error: ImportError: cannot import name 'SAFE_WEIGHTS_NAME' from 'transformers.utils' (/root/anaconda3/envs/ldm/lib/python3.8/site-packages/transformers/utils/__init__.py) the env is set up by README
where is the yaml config file for v1-5-pruned checkpoint?
RuntimeError: Couldn't install torch. Command: "C:\Users\Megha Sai\stable diffusion\stable-diffusion-webui\venv\Scripts\python.exe" -m pip install torch==1.12.1+cu113 torchvision==0.13.1+cu113 --extra-index-url https://download.pytorch.org/whl/cu113 Error code: 1 stdout: Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/cu113 stderr: ERROR: Could not find a...
Hi, thanks for the amazing work with stable diffusion. I was adding some modifications, but was running out of memory, so I was wondering if there was a small model...
After running this code ``` from diffusers import StableDiffusionInpaintPipeline pipe = StableDiffusionInpaintPipeline.from_pretrained( "runwayml/stable-diffusion-inpainting", revision="fp16", torch_dtype=torch.float16, ) prompt = "Face of a yellow cat, high resolution, sitting on a park bench"...
