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CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
INFO: pip is looking at multiple versions of clip to determine which version is compatible with other requirements. This could take a while. The conflict is caused by: The user requested clip 1.0 (from git+https://github.com/openai/CLIP.git@main#egg=clip) k-diffusion 0.0.1 depends on clip 1.0 (from git+https://github.com/openai/CLIP) To fix this you could try to: 1. loosen the range of package versions you've specified 2. remove package versions to allow pip attempt to solve the dependency conflict Pip subprocess error: ERROR: Cannot install -r C:\Users\tomer\stable-diffusion\condaenv.f069k4gc.requirements.txt (line 19) and clip 1.0 (from git+https://github.com/openai/CLIP.git@main#egg=clip) because these package versions have conflicting dependencies. ERROR: ResolutionImpossible: for help visit https://pip.pypa.io/en/latest/user_guide/#fixing-conflicting-dependencies failed CondaEnvException: Pip failed
1. git clone https://github.com/neonsecret/stable-diffusion 2. pip install --upgrade -r requirements.txt 3. conda env create -f environment.yaml
Dang sorry but you've hit the limit of my knowledge, I use linux and the only other thing I do differently is use txt2img_gradio.py in the optimizedSD directory from https://github.com/basujindal/stable-diffusion and copied it to the optimizedSD folder from neonsecrets repo. and run it with "python ./optimizedSD/txt2img_gradio.py" It's not as feature rich but it works on my dinky 4gb card