* first attempt at updating to photomaker v2
* continue adding photomaker v2 modules
* finishing the last few pieces for photomaker v2; id_embeds need to be done by a manual step and pass as an input file
* added a name converter for Photomaker V2; build ok
* more debugging underway
* failing at cuda mat_mul
* updated chunk_half to be more efficient; redo feedforward
* fixed a bug: carefully using ggml_view_4d to get chunks of a tensor; strides need to be recalculated or set properly; still failing at soft_max cuda op
* redo weight calculation and weight*v
* fixed a bug now Photomaker V2 kinds of working
* add python script for face detection (Photomaker V2 needs)
* updated readme for photomaker
* fixed a bug causing PMV1 crashing; both V1 and V2 work
* fixed clean_input_ids for PMV2
* fixed a double counting bug in tokenize_with_trigger_token
* updated photomaker readme
* removed some commented code
* improved reconstructing class word free prompt
* changed reading id_embed to raw binary using existing load tensor function; this is more efficient than using model load and also makes it easier to work with sd server
* minor clean up
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Co-authored-by: bssrdf <bssrdf@gmail.com>
* add flux support
* avoid build failures in non-CUDA environments
* fix schnell support
* add k quants support
* add support for applying lora to quantized tensors
* add inplace conversion support for f8_e4m3 (#359)
in the same way it is done for bf16
like how bf16 converts losslessly to fp32,
f8_e4m3 converts losslessly to fp16
* add xlabs flux comfy converted lora support
* update docs
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Co-authored-by: Erik Scholz <Green-Sky@users.noreply.github.com>
