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feat: cuda transformers (#1401)
* Use cuda in transformers if available tensorflow probably needs a different check. Signed-off-by: Erich Schubert <kno10@users.noreply.github.com> * feat: expose CUDA at top level Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * tests: add to tests and create workflow for py extra backends * doc: update note on how to use core images --------- Signed-off-by: Erich Schubert <kno10@users.noreply.github.com> Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Erich Schubert <kno10@users.noreply.github.com>
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9 changed files with 163 additions and 11 deletions
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@ -16,7 +16,7 @@ func ImageGeneration(height, width, mode, step, seed int, positive_prompt, negat
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model.WithContext(o.Context),
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model.WithModel(c.Model),
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model.WithLoadGRPCLoadModelOpts(&proto.ModelOptions{
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CUDA: c.Diffusers.CUDA,
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CUDA: c.CUDA,
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SchedulerType: c.Diffusers.SchedulerType,
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PipelineType: c.Diffusers.PipelineType,
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CFGScale: c.Diffusers.CFGScale,
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@ -46,6 +46,7 @@ func gRPCModelOpts(c config.Config) *pb.ModelOptions {
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Seed: int32(c.Seed),
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NBatch: int32(b),
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NoMulMatQ: c.NoMulMatQ,
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CUDA: c.CUDA, // diffusers, transformers
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DraftModel: c.DraftModel,
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AudioPath: c.VallE.AudioPath,
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Quantization: c.Quantization,
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