patrickvonplaten
commited on
Commit
·
866074c
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Parent(s):
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Browse files- all_branches.txt +0 -0
- all_branches_diffusers.txt +56 -0
- get_model_ids.py +1 -0
- run_local.py +3 -1
all_branches.txt
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all_branches_diffusers.txt
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google/ncsnpp-ffhq-1024: ['master']
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google/ncsnpp-ffhq-1024: ['master']
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shalpin87/diffusion_conditional: ['backup']
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CompVis/stable-diffusion-v1-3: ['fp16']
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CompVis/stable-diffusion-v1-1: ['fp16']
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CompVis/stable-diffusion-v1-2: ['fp16']
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CompVis/stable-diffusion-v1-4: ['non-ema', 'onnx', 'bf16', 'flax', 'fp16']
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hakurei/waifu-diffusion: ['fp16']
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rinna/japanese-stable-diffusion: ['fp16']
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naclbit/trinart_stable_diffusion_v2: ['diffusers-95k', 'diffusers-60k', 'diffusers-115k']
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pcuenq/stable-diffusion-v1-4: ['onnx']
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lambdalabs/sd-pokemon-diffusers: ['onnx']
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CompVis/stable-diffusion-v1-5: ['fp16']
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Gazoche/sd-gundam-diffusers: ['epoch-000020', 'epoch-000081', 'epoch-000025']
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runwayml/stable-diffusion-inpainting: ['onnx', 'fp16']
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fusing/sd-inpaint-temp: ['fp16']
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runwayml/stable-diffusion-v1-5: ['onnx', 'fp16', 'non-ema', 'flax', 'bf16']
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ckpt/sd15: ['flax', 'bf16', 'fp16']
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aarondotwork/sd-pokemon-diffusers: ['fp16']
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technillogue/waifu-diffusion: ['fp16']
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DGSpitzer/Cyberpunk-Anime-Diffusion: ['fp16']
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uripper/GIANNIS: ['ONNX', 'Traced', 'ONNX-Q']
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microsoft/vq-diffusion-ithq: ['fp16']
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fusing/rdm: ['fp16']
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CompVis/ldm-super-resolution-4x-openimages: ['fp16']
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lilpotat/f2: ['flax']
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lilpotat/a3: ['flax']
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lilpotat/rbm: ['flax']
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BAAI/AltDiffusion: ['fp16']
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fusing/test: ['fp16']
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stabilityai/stable-diffusion-2: ['fp16', 'bf16']
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stabilityai/stable-diffusion-2-base: ['onnx', 'fp16']
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stabilityai/stable-diffusion-2-depth: ['fp16']
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stabilityai/stable-diffusion-2-inpainting: ['fp16']
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stabilityai/stable-diffusion-x4-upscaler: ['fp16']
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Abhilashvj/openjourney_copy: ['master']
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questcoast/clone-wars-diffusion-v1: ['readme']
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lilpotat/ashleymoore: ['flax']
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jplumail/matthieu-v1-pipe: ['fp16']
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stabilityai/stable-diffusion-2-1: ['bf16', 'fp16']
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stabilityai/stable-diffusion-2-1-base: ['fp16']
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jplumail/matthieu-v2-pipe: ['fp16']
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NickKolok/arikioyami-20221223_1: ['backforward_overfit']
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mann-e/mann-e: ['master']
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DucHaiten/DucHaitenAIart: ['safetensors']
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ShibaDeveloper/olivia-v1.0: ['safetensors']
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cdefghijkl/luber: ['safetensors']
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mddy/abyss2-diffusers: ['master']
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OFA-Sys/small-stable-diffusion-v0: ['onnx']
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timbrooks/instruct-pix2pix: ['fp16']
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DucHaiten/DucHaitenAnime: ['vae']
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neemspees/dnd-maps-2: ['v2', 'v3']
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ruiruin/counmargemodel: ['fp16']
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Nacholmo/AbyssOrangeMix2-hard-vae-swapped: ['fp16']
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Nacholmo/Counterfeit-V2.5-vae-swapped: ['de_vae', 'dvae', 'fp16']
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Nacholmo/VOXO-v0-vtuber-diffusers: ['fp16']
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get_model_ids.py
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@@ -4,6 +4,7 @@ from huggingface_hub import HfApi
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api = HfApi()
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out = api.list_models(filter="diffusers")
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model_ids = [x.modelId for x in out]
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with open("./model_ids.txt", "w") as f:
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for _id in model_ids:
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api = HfApi()
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out = api.list_models(filter="diffusers")
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model_ids = [x.modelId for x in out]
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print(len(model_ids))
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with open("./model_ids.txt", "w") as f:
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for _id in model_ids:
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run_local.py
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#!/usr/bin/env python3
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from diffusers import StableDiffusionPipeline, DPMSolverSinglestepScheduler, DPMSolverMultistepScheduler, DEISMultistepScheduler, HeunDiscreteScheduler
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import time
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from huggingface_hub import HfApi
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import torch
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api = HfApi()
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start_time = time.time()
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pipe = StableDiffusionPipeline.from_pretrained(path, torch_dtype=torch.float16)
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pipe.scheduler =
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pipe = pipe.to("cuda")
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prompt = "a highly realistic photo of green turtle"
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generator = torch.Generator(device="cuda").manual_seed(0)
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image = pipe(prompt, generator=generator, num_inference_steps=25).images[0]
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print("Time", time.time() - start_time)
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#!/usr/bin/env python3
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from diffusers import StableDiffusionPipeline, DPMSolverSinglestepScheduler, DPMSolverMultistepScheduler, DEISMultistepScheduler, HeunDiscreteScheduler
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from diffusers.schedulers.scheduling_unipc_multistep import UniPCMultistepScheduler
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import time
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from huggingface_hub import HfApi
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import torch
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api = HfApi()
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start_time = time.time()
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pipe = StableDiffusionPipeline.from_pretrained(path, torch_dtype=torch.float16)
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pipe.scheduler = UniPCMultistepScheduler.from_config(pipe.scheduler.config)
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pipe = pipe.to("cuda")
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prompt = "a highly realistic photo of green turtle"
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prompt = "an image of Santa Claus in light blue"
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generator = torch.Generator(device="cuda").manual_seed(0)
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image = pipe(prompt, generator=generator, num_inference_steps=25).images[0]
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print("Time", time.time() - start_time)
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