diff --git "a/app.py" "b/app.py" new file mode 100644--- /dev/null +++ "b/app.py" @@ -0,0 +1,2423 @@ +import os +import json +import copy +import time +import random +import logging +import numpy as np +from typing import Any, Dict, List, Optional, Union + +import torch +from PIL import Image +import gradio as gr + + +from diffusers import ( + DiffusionPipeline, + AutoencoderTiny, + AutoencoderKL, + AutoPipelineForImage2Image, + FluxPipeline, + FlowMatchEulerDiscreteScheduler) + +from huggingface_hub import ( + hf_hub_download, + HfFileSystem, + ModelCard, + snapshot_download) + +from diffusers.utils import load_image + +import spaces + +#---if workspace = local or colab--- + +# Authenticate with Hugging Face +# from huggingface_hub import login + +# Log in to Hugging Face using the provided token +# hf_token = 'hf-token-authentication' +# login(hf_token) + +def calculate_shift( + image_seq_len, + base_seq_len: int = 256, + max_seq_len: int = 4096, + base_shift: float = 0.5, + max_shift: float = 1.16, +): + m = (max_shift - base_shift) / (max_seq_len - base_seq_len) + b = base_shift - m * base_seq_len + mu = image_seq_len * m + b + return mu + +def retrieve_timesteps( + scheduler, + num_inference_steps: Optional[int] = None, + device: Optional[Union[str, torch.device]] = None, + timesteps: Optional[List[int]] = None, + sigmas: Optional[List[float]] = None, + **kwargs, +): + if timesteps is not None and sigmas is not None: + raise ValueError("Only one of `timesteps` or `sigmas` can be passed. Please choose one to set custom values") + if timesteps is not None: + scheduler.set_timesteps(timesteps=timesteps, device=device, **kwargs) + timesteps = scheduler.timesteps + num_inference_steps = len(timesteps) + elif sigmas is not None: + scheduler.set_timesteps(sigmas=sigmas, device=device, **kwargs) + timesteps = scheduler.timesteps + num_inference_steps = len(timesteps) + else: + scheduler.set_timesteps(num_inference_steps, device=device, **kwargs) + timesteps = scheduler.timesteps + return timesteps, num_inference_steps + +# FLUX pipeline +@torch.inference_mode() +def flux_pipe_call_that_returns_an_iterable_of_images( + self, + prompt: Union[str, List[str]] = None, + prompt_2: Optional[Union[str, List[str]]] = None, + height: Optional[int] = None, + width: Optional[int] = None, + num_inference_steps: int = 28, + timesteps: List[int] = None, + guidance_scale: float = 3.5, + num_images_per_prompt: Optional[int] = 1, + generator: Optional[Union[torch.Generator, List[torch.Generator]]] = None, + latents: Optional[torch.FloatTensor] = None, + prompt_embeds: Optional[torch.FloatTensor] = None, + pooled_prompt_embeds: Optional[torch.FloatTensor] = None, + output_type: Optional[str] = "pil", + return_dict: bool = True, + joint_attention_kwargs: Optional[Dict[str, Any]] = None, + max_sequence_length: int = 512, + good_vae: Optional[Any] = None, +): + height = height or self.default_sample_size * self.vae_scale_factor + width = width or self.default_sample_size * self.vae_scale_factor + + self.check_inputs( + prompt, + prompt_2, + height, + width, + prompt_embeds=prompt_embeds, + pooled_prompt_embeds=pooled_prompt_embeds, + max_sequence_length=max_sequence_length, + ) + + self._guidance_scale = guidance_scale + self._joint_attention_kwargs = joint_attention_kwargs + self._interrupt = False + + batch_size = 1 if isinstance(prompt, str) else len(prompt) + device = self._execution_device + + lora_scale = joint_attention_kwargs.get("scale", None) if joint_attention_kwargs is not None else None + prompt_embeds, pooled_prompt_embeds, text_ids = self.encode_prompt( + prompt=prompt, + prompt_2=prompt_2, + prompt_embeds=prompt_embeds, + pooled_prompt_embeds=pooled_prompt_embeds, + device=device, + num_images_per_prompt=num_images_per_prompt, + max_sequence_length=max_sequence_length, + lora_scale=lora_scale, + ) + + num_channels_latents = self.transformer.config.in_channels // 4 + latents, latent_image_ids = self.prepare_latents( + batch_size * num_images_per_prompt, + num_channels_latents, + height, + width, + prompt_embeds.dtype, + device, + generator, + latents, + ) + + sigmas = np.linspace(1.0, 1 / num_inference_steps, num_inference_steps) + image_seq_len = latents.shape[1] + mu = calculate_shift( + image_seq_len, + self.scheduler.config.base_image_seq_len, + self.scheduler.config.max_image_seq_len, + self.scheduler.config.base_shift, + self.scheduler.config.max_shift, + ) + timesteps, num_inference_steps = retrieve_timesteps( + self.scheduler, + num_inference_steps, + device, + timesteps, + sigmas, + mu=mu, + ) + self._num_timesteps = len(timesteps) + + guidance = torch.full([1], guidance_scale, device=device, dtype=torch.float32).expand(latents.shape[0]) if self.transformer.config.guidance_embeds else None + + for i, t in enumerate(timesteps): + if self.interrupt: + continue + + timestep = t.expand(latents.shape[0]).to(latents.dtype) + + noise_pred = self.transformer( + hidden_states=latents, + timestep=timestep / 1000, + guidance=guidance, + pooled_projections=pooled_prompt_embeds, + encoder_hidden_states=prompt_embeds, + txt_ids=text_ids, + img_ids=latent_image_ids, + joint_attention_kwargs=self.joint_attention_kwargs, + return_dict=False, + )[0] + + latents_for_image = self._unpack_latents(latents, height, width, self.vae_scale_factor) + latents_for_image = (latents_for_image / self.vae.config.scaling_factor) + self.vae.config.shift_factor + image = self.vae.decode(latents_for_image, return_dict=False)[0] + yield self.image_processor.postprocess(image, output_type=output_type)[0] + latents = self.scheduler.step(noise_pred, t, latents, return_dict=False)[0] + torch.cuda.empty_cache() + + latents = self._unpack_latents(latents, height, width, self.vae_scale_factor) + latents = (latents / good_vae.config.scaling_factor) + good_vae.config.shift_factor + image = good_vae.decode(latents, return_dict=False)[0] + self.maybe_free_model_hooks() + torch.cuda.empty_cache() + yield self.image_processor.postprocess(image, output_type=output_type)[0] + +#------------------------------------------------------------------------------------------------------------------------------------------------------------# +loras = [ + #Super-Realism + { + "image": "https://huggingface.co/strangerzonehf/Flux-Super-Realism-LoRA/resolve/main/images/1.png", + "title": "Super Realism", + "repo": "strangerzonehf/Flux-Super-Realism-LoRA", + "weights": "super-realism.safetensors", + "trigger_word": "Super Realism" + }, + #Dalle-Mix + { + "image": "https://huggingface.co/prithivMLmods/Flux-Dalle-Mix-LoRA/resolve/main/images/D3.png", + "title": "Dalle Mix", + "repo": "prithivMLmods/Flux-Dalle-Mix-LoRA", + "weights": "dalle-mix.safetensors", + "trigger_word": "dalle-mix" + }, + #anime-v1 + { + "image": "https://huggingface.co/strangerzonehf/Flux-Animeo-v1-LoRA/resolve/main/images/A4.png", + "title": "Animeo Mix", + "repo": "strangerzonehf/Flux-Animeo-v1-LoRA", + "weights": "Animeo.safetensors", + "trigger_word": "Animeo" + }, + #anime-v2 + { + "image": "https://huggingface.co/strangerzonehf/Flux-Animex-v2-LoRA/resolve/main/images/A33.png", + "title": "Animex Mix", + "repo": "strangerzonehf/Flux-Animex-v2-LoRA", + "weights": "Animex.safetensors", + "trigger_word": "Animex" + }, + #Super Portrait + { + "image": "https://huggingface.co/strangerzonehf/Flux-Super-Portrait-LoRA/resolve/main/images/3.png", + "title": "Super Portraits", + "repo": "strangerzonehf/Flux-Super-Portrait-LoRA", + "weights": "Super-Portrait.safetensors", + "trigger_word": "Super Portrait" + }, + #Super-Blend + { + "image": "https://huggingface.co/strangerzonehf/Flux-Super-Blend-LoRA/resolve/main/images/SB1.png", + "title": "Super Blend", + "repo": "strangerzonehf/Flux-Super-Blend-LoRA", + "weights": "Super-Blend.safetensors", + "trigger_word": "Super Blend" + }, + #3DXL P@1 + { + "image": "https://huggingface.co/strangerzonehf/Flux-3DXL-Partfile-0001/resolve/main/images/4.png", + "title": "3DXLP1", + "repo": "strangerzonehf/Flux-3DXL-Partfile-0001", + "weights": "3DXLP1.safetensors", + "trigger_word": "3DXLP1" + }, + #Mixer2.0 + { + "image": "https://huggingface.co/strangerzonehf/Flux-Midjourney-Mix2-LoRA/resolve/main/images/3.png", + "title": "Midjourney Mix 2", + "repo": "strangerzonehf/Flux-Midjourney-Mix2-LoRA", + "weights": "mjV6.safetensors", + "trigger_word": "MJ v6" + }, + { + "image": "https://huggingface.co/prithivMLmods/Flux-Long-Toon-LoRA/resolve/main/images/LT5.png", + "title": "Long Toons", + "repo": "prithivMLmods/Flux-Long-Toon-LoRA", + "weights": "Long-Toon.safetensors", + "trigger_word": "Long toons" + }, + { + "image": "https://huggingface.co/strangerzonehf/Flux-Isometric-3D-Cinematography/resolve/main/images/IS1.png", + "title": "Isometric 3D Cinematography", + "repo": "strangerzonehf/Flux-Isometric-3D-Cinematography", + "weights": "Isometric-3D-Cinematography.safetensors", + "trigger_word": "Isometric 3D Cinematography" + }, + { + "image": "https://huggingface.co/strangerzonehf/Flux-Cute-3D-Kawaii-LoRA/resolve/main/images/CK3.png", + "title": "Cute 3D Kawaii", + "repo": "strangerzonehf/Flux-Cute-3D-Kawaii-LoRA", + "weights": "Cute-3d-Kawaii.safetensors", + "trigger_word": "Cute 3d Kawaii" + }, + + { + "image": "https://huggingface.co/strangerzonehf/Flux-Isometric-3D-LoRA/resolve/main/images/ID2.png", + "title": "Isometric 3D", + "repo": "strangerzonehf/Flux-Isometric-3D-LoRA", + "weights": "Isometric-3D.safetensors", + "trigger_word": "Isometric 3D" + }, + { + "image": "https://huggingface.co/prithivMLmods/Flux-Toonic-2.5D-LoRA/resolve/main/images/T2.png", + "title": "Toon 2.5D", + "repo": "prithivMLmods/Flux-Toonic-2.5D-LoRA", + "weights": "toonic2.5D.safetensors", + "trigger_word": "toonic 2.5D" + }, + { + "image": "https://huggingface.co/strangerzonehf/Flux-YWL-Realism-LoRA/resolve/main/images/R3.png", + "title": "YWL Realism", + "repo": "strangerzonehf/Flux-YWL-Realism-LoRA", + "weights": "ywl-realism.safetensors", + "trigger_word": "ylw realism" + }, + #chill-guy + { + "image": "https://huggingface.co/prithivMLmods/Flux-Chill-Guy-Zone/resolve/main/images/8.png", + "title": "Chill Guy", + "repo": "prithivMLmods/Flux-Chill-Guy-Zone", + "weights": "chill-guy.safetensors", + "trigger_word": "chill guy" + }, + { + "image": "https://huggingface.co/p1atdev/flux.1-schnell-pvc-style-lora/resolve/main/images/flux_lora_00221_.png", + "title": "Anime PVC Style", + "repo": "p1atdev/flux.1-schnell-pvc-style-lora", + "weights": "pvc-shnell-7250+7500.safetensors", + "trigger_word": "pvc figure, nendoroid, figma" + }, + { + "image": "https://huggingface.co/strangerzonehf/Flux-C4C-Design-LoRA/resolve/main/images/4.png", + "title": "Smiley C4C", + "repo": "strangerzonehf/Flux-C4C-Design-LoRA", + "weights": "Smiley-C4C.safetensors", + "trigger_word": "Smiley C4C" + }, +#-----------------------------------------------------------------------------------LoRA's----------------------------------------------------------------------# + #0 + { + "image": "https://huggingface.co/prithivMLmods/Purple-Dreamy-Flux-LoRA/resolve/main/images/PD3.png", + "title": "Purple Dream", + "repo": "prithivMLmods/Purple-Dreamy-Flux-LoRA", + "weights": "Purple-Dreamy.safetensors", + "trigger_word": "Purple Dreamy" + }, + #1 + { + "image": "https://huggingface.co/prithivMLmods/Canopus-LoRA-Flux-FaceRealism/resolve/main/images/11.png", + "title": "Flux Face Realism", + "repo": "prithivMLmods/Canopus-LoRA-Flux-FaceRealism", + "trigger_word": "Realism" + }, + #2 + { + "image": "https://huggingface.co/alvdansen/softserve_anime/resolve/main/images/ComfyUI_00134_.png", + "title": "Softserve Anime", + "repo": "alvdansen/softserve_anime", + "trigger_word": "sftsrv style illustration" + }, + #3 + { + "image": "https://huggingface.co/prithivMLmods/Fashion-Hut-Modeling-LoRA/resolve/main/images/MO1.png", + "title": "Modeling Hut", + "repo": "prithivMLmods/Fashion-Hut-Modeling-LoRA", + "trigger_word": "Modeling of" + }, + #4 + { + "image": "https://huggingface.co/Shakker-Labs/FLUX.1-dev-LoRA-One-Click-Creative-Template/resolve/main/images/f2cc649985648e57b9b9b14ca7a8744ac8e50d75b3a334ed4df0f368.jpg", + "title": "Creative Template", + "repo": "Shakker-Labs/FLUX.1-dev-LoRA-One-Click-Creative-Template", + "trigger_word": "The background is 4 real photos, and in the middle is a cartoon picture summarizing the real photos." + }, + #5 + { + "image": "https://huggingface.co/prithivMLmods/Canopus-LoRA-Flux-UltraRealism-2.0/resolve/main/images/XX.png", + "title": "Ultra Realism", + "repo": "prithivMLmods/Canopus-LoRA-Flux-UltraRealism-2.0", + "trigger_word": "Ultra realistic" + }, + #6 + { + "image": "https://huggingface.co/gokaygokay/Flux-Game-Assets-LoRA-v2/resolve/main/images/example_y2bqpuphc.png", + "title": "Game Assets", + "repo": "gokaygokay/Flux-Game-Assets-LoRA-v2", + "trigger_word": "wbgmsst, white background" + }, + #7 + { + "image": "https://huggingface.co/alvdansen/softpasty-flux-dev/resolve/main/images/ComfyUI_00814_%20(2).png", + "title": "Softpasty", + "repo": "alvdansen/softpasty-flux-dev", + "trigger_word": "araminta_illus illustration style" + }, + #8 + { + "image": "https://huggingface.co/Shakker-Labs/FLUX.1-dev-LoRA-add-details/resolve/main/images/0.png", + "title": "Details Add", + "repo": "Shakker-Labs/FLUX.1-dev-LoRA-add-details", + "trigger_word": "" + }, + #9 + { + "image": "https://huggingface.co/prithivMLmods/Canopus-LoRA-Flux-Anime/resolve/main/assets/4.png", + "title": "Flux Anime", + "repo": "prithivMLmods/Canopus-LoRA-Flux-Anime", + "trigger_word": "Anime" + }, + #10 + { + "image": "https://huggingface.co/aleksa-codes/flux-ghibsky-illustration/resolve/main/images/example5.jpg", + "title": "Ghibsky Illustration", + "repo": "aleksa-codes/flux-ghibsky-illustration", + "trigger_word": "GHIBSKY style painting" + }, + #11 + { + "image": "https://huggingface.co/Shakker-Labs/FLUX.1-dev-LoRA-Dark-Fantasy/resolve/main/images/c2215bd73da9f14fcd63cc93350e66e2901bdafa6fb8abaaa2c32a1b.jpg", + "title": "Dark Fantasy", + "repo": "Shakker-Labs/FLUX.1-dev-LoRA-Dark-Fantasy", + "trigger_word": "" + }, + #12 + { + "image": "https://huggingface.co/Norod78/Flux_1_Dev_LoRA_Paper-Cutout-Style/resolve/main/d13591878d5043f3989dd6eb1c25b710_233c18effb4b491cb467ca31c97e90b5.png", + "title": "Paper Cutout", + "repo": "Norod78/Flux_1_Dev_LoRA_Paper-Cutout-Style", + "trigger_word": "Paper Cutout Style" + }, + #13 + { + "image": "https://huggingface.co/alvdansen/mooniverse/resolve/main/images/out-0%20(17).webp", + "title": "Mooniverse", + "repo": "alvdansen/mooniverse", + "trigger_word": "surreal style" + }, + #14 + { + "image": "https://huggingface.co/alvdansen/pola-photo-flux/resolve/main/images/out-0%20-%202024-09-22T130819.351.webp", + "title": "Pola Photo", + "repo": "alvdansen/pola-photo-flux", + "trigger_word": "polaroid style" + }, + #15 + { + "image": "https://huggingface.co/multimodalart/flux-tarot-v1/resolve/main/images/7e180627edd846e899b6cd307339140d_5b2a09f0842c476b83b6bd2cb9143a52.png", + "title": "Flux Tarot", + "repo": "multimodalart/flux-tarot-v1", + "trigger_word": "in the style of TOK a trtcrd tarot style" + }, + #16 + { + "image": "https://huggingface.co/prithivMLmods/Flux-Dev-Real-Anime-LoRA/resolve/main/images/111.png", + "title": "Real Anime", + "repo": "prithivMLmods/Flux-Dev-Real-Anime-LoRA", + "trigger_word": "Real Anime" + }, + #17 + { + "image": "https://huggingface.co/diabolic6045/Flux_Sticker_Lora/resolve/main/images/example_s3pxsewcb.png", + "title": "Stickers", + "repo": "diabolic6045/Flux_Sticker_Lora", + "trigger_word": "5t1cker 5ty1e" + }, + #18 + { + "image": "https://huggingface.co/VideoAditor/Flux-Lora-Realism/resolve/main/images/feel-the-difference-between-using-flux-with-lora-from-xlab-v0-j0ehybmvxehd1.png", + "title": "Realism", + "repo": "XLabs-AI/flux-RealismLora", + "trigger_word": "" + }, + #19 + { + "image": "https://huggingface.co/alvdansen/flux-koda/resolve/main/images/ComfyUI_00583_%20(1).png", + "title": "Koda", + "repo": "alvdansen/flux-koda", + "trigger_word": "flmft style" + }, + #20 + { + "image": "https://huggingface.co/mgwr/Cine-Aesthetic/resolve/main/images/00019-1333633802.png", + "title": "Cine Aesthetic", + "repo": "mgwr/Cine-Aesthetic", + "trigger_word": "mgwr/cine" + }, + #21 + { + "image": "https://huggingface.co/SebastianBodza/flux_cute3D/resolve/main/images/astronaut.webp", + "title": "Cute 3D", + "repo": "SebastianBodza/flux_cute3D", + "trigger_word": "NEOCUTE3D" + }, + #22 + { + "image": "https://huggingface.co/bingbangboom/flux_dreamscape/resolve/main/images/3.jpg", + "title": "Dreamscape", + "repo": "bingbangboom/flux_dreamscape", + "trigger_word": "in the style of BSstyle004" + }, + #23 + { + "image": "https://huggingface.co/prithivMLmods/Canopus-LoRA-Flux-FaceRealism/resolve/main/images/xc.webp", + "title": "Cute Kawaii", + "repo": "prithivMLmods/Canopus-Cute-Kawaii-Flux-LoRA", + "trigger_word": "cute-kawaii" + }, + #24 + { + "image": "https://cdn-uploads.huggingface.co/production/uploads/64b24543eec33e27dc9a6eca/_jyra-jKP_prXhzxYkg1O.png", + "title": "Pastel Anime", + "repo": "Raelina/Flux-Pastel-Anime", + "trigger_word": "Anime" + }, + #25 + { + "image": "https://huggingface.co/Shakker-Labs/FLUX.1-dev-LoRA-Vector-Journey/resolve/main/images/f7a66b51c89896854f31bef743dc30f33c6ea3c0ed8f9ff04d24b702.jpg", + "title": "Vector", + "repo": "Shakker-Labs/FLUX.1-dev-LoRA-Vector-Journey", + "trigger_word": "artistic style blends reality and illustration elements" + }, + #26 + { + "image": "https://huggingface.co/bingbangboom/flux-miniature-worlds/resolve/main/images/2.jpg", + "title": "Miniature", + "repo": "bingbangboom/flux-miniature-worlds", + "weights": "flux_MNTRWRLDS.safetensors", + "trigger_word": "Image in the style of MNTRWRLDS" + }, + #27 + { + "image": "https://huggingface.co/glif-loradex-trainer/bingbangboom_flux_surf/resolve/main/samples/1729012111574__000002000_0.jpg", + "title": "Surf Bingbangboom", + "repo": "glif-loradex-trainer/bingbangboom_flux_surf", + "weights": "flux_surf.safetensors", + "trigger_word": "SRFNGV01" + }, + #28 + { + "image": "https://huggingface.co/prithivMLmods/Canopus-Snoopy-Charlie-Brown-Flux-LoRA/resolve/main/000.png", + "title": "Snoopy Charlie", + "repo": "prithivMLmods/Canopus-Snoopy-Charlie-Brown-Flux-LoRA", + "trigger_word": "Snoopy Charlie Brown" + }, + #29 + { + "image": "https://huggingface.co/alvdansen/sonny-anime-fixed/resolve/main/images/uqAuIMqA6Z7mvPkHg4qJE_f4c3cbe64e0349e7b946d02adeacdca3.png", + "title": "Fixed Sonny", + "repo": "alvdansen/sonny-anime-fixed", + "trigger_word": "nm22 style" + }, + #30 + { + "image": "https://huggingface.co/davisbro/flux-multi-angle/resolve/main/multi-angle-examples/3.png", + "title": "Multi Angle", + "repo": "davisbro/flux-multi-angle", + "trigger_word": "A TOK composite photo of a person posing at different angles" + }, + #31 + { + "image": "https://huggingface.co/glif/how2draw/resolve/main/images/glif-how2draw-araminta-k-vbnvy94npt8m338r2vm02m50.jpg", + "title": "How2Draw", + "repo": "glif/how2draw", + "trigger_word": "How2Draw" + + }, + #32 + { + "image": "https://huggingface.co/Shakker-Labs/FLUX.1-dev-LoRA-Text-Poster/resolve/main/images/6dd1a918d89991ad5e40513ab88e7d892077f89dac93edcf4b660dd2.jpg", + "title": "Text Poster", + "repo": "Shakker-Labs/FLUX.1-dev-LoRA-Text-Poster", + "trigger_word": "text poster" + }, + #33 + { + "image": "https://huggingface.co/SebastianBodza/Flux_Aquarell_Watercolor_v2/resolve/main/images/coffee.webp", + "title": "Aquarell Watercolor", + "repo": "SebastianBodza/Flux_Aquarell_Watercolor_v2", + "trigger_word": "AQUACOLTOK" + }, + #34 + { + "image": "https://huggingface.co/Purz/face-projection/resolve/main/34031797.jpeg", + "title": "Face Projection ", + "repo": "Purz/face-projection", + "trigger_word": "f4c3_p40j3ct10n" + }, + #35 + { + "image": "https://huggingface.co/martintomov/ecom-flux-v2/resolve/main/images/example_z30slf97z.png", + "title": "Ecom Design Art", + "repo": "martintomov/ecom-flux-v2", + "trigger_word": "" + }, + #36 + { + "image": "https://huggingface.co/TheAwakenOne/max-headroom/resolve/main/sample/max-headroom_000900_00_20241015234926.png", + "title": "Max Head-Room", + "repo": "TheAwakenOne/max-headroom", + "weights": "max-headroom-v1.safetensors", + "trigger_word": "M2X, Max-Headroom" + }, + #37 + { + "image": "https://huggingface.co/renderartist/toyboxflux/resolve/main/images/3D__00366_.png", + "title": "Toy Box Flux", + "repo": "renderartist/toyboxflux", + "weights": "Toy_Box_Flux_v2_renderartist.safetensors", + "trigger_word": "t0yb0x, simple toy design, detailed toy design, 3D render" + }, + #38 + { + "image": "https://huggingface.co/Shakker-Labs/FLUX.1-dev-LoRA-live-3D/resolve/main/images/51a716fb6fe9ba5d54c260b70e7ff661d38acedc7fb725552fa77bcf.jpg", + "title": "Live 3D", + "repo": "Shakker-Labs/FLUX.1-dev-LoRA-live-3D", + "trigger_word": "" + }, + #39 + { + "image": 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"title": "Plein Air", + "repo": "glif-loradex-trainer/maxxd4240_PleinAir", + "weights": "PleinAir.safetensors", + "trigger_word": "P1e!n" + }, + #217 + { + "image": "https://huggingface.co/prithivMLmods/Flux-GArt-LoRA/resolve/main/images/G2.png", + "title": "GArt", + "repo": "prithivMLmods/Flux-GArt-LoRA", + "weights": "GArt.safetensors", + "trigger_word": "GArt" + }, + #218 + { + "image": "https://huggingface.co/strangerzonehf/Flux-Super-Capybara-HF/resolve/main/images/C2.png", + "title": "Capybara HF", + "repo": "strangerzonehf/Flux-Super-Capybara-HF", + "weights": "capybara-hf.safetensors", + "trigger_word": "capybara hf" + }, + #219 + { + "image": "https://huggingface.co/prithivMLmods/Flux-Fine-Detail-LoRA/resolve/main/images/SR1.png", + "title": "Fine Detail", + "repo": "prithivMLmods/Flux-Fine-Detail-LoRA", + "weights": "Fine-Detail.safetensors", + "trigger_word": "Super Detail" + }, + #220 + { + "image": "https://huggingface.co/gokaygokay/Flux-Digital-Backgrounds-LoRA/resolve/main/images/image1.jpg", + "title": "Digital Backgrounds", + "repo": "gokaygokay/Flux-Digital-Backgrounds-LoRA", + "weights": "digital_background_lora.safetensors", + "trigger_word": "dgtlbg" + }, + #221 + { + "image": "https://huggingface.co/gokaygokay/Flux-Realistic-Backgrounds-LoRA/resolve/main/images/image1.jpg", + "title": "Realistic Backgrounds", + "repo": "gokaygokay/Flux-Realistic-Backgrounds-LoRA", + "weights": "realistic_background_lora.safetensors", + "trigger_word": "rlstcbg" + }, + #222 + { + "image": "https://huggingface.co/prithivMLmods/Flux-Lego-Ref-LoRA/resolve/main/images/2.png", + "title": "LEGO", + "repo": "prithivMLmods/Flux-Lego-Ref-LoRA", + "weights": "Lego.safetensors", + "trigger_word": "lego --fref --89890" + }, + #223 + { + "image": "https://huggingface.co/strangerzonehf/Flux-3DXL-Partfile-0002/resolve/main/images/44.png", + "title": "3DXLP2", + "repo": "strangerzonehf/Flux-3DXL-Partfile-0002", + "weights": "3DXLP2.safetensors", + "trigger_word": "3DXLP2" + }, + #224 + { + "image": "https://huggingface.co/strangerzonehf/Flux-3DXL-Partfile-0004/resolve/main/images/3333.png", + "title": "3DXLP4", + "repo": "strangerzonehf/Flux-3DXL-Partfile-0004", + "weights": "3DXLP4.safetensors", + "trigger_word": "3DXLP4" + } + + #add new +] + +#--------------------------------------------------Model Initialization-----------------------------------------------------------------------------------------# + +dtype = torch.bfloat16 +device = "cuda" if torch.cuda.is_available() else "cpu" +base_model = "black-forest-labs/FLUX.1-dev" + +#TAEF1 is very tiny autoencoder which uses the same "latent API" as FLUX.1's VAE. FLUX.1 is useful for real-time previewing of the FLUX.1 generation process.# +taef1 = AutoencoderTiny.from_pretrained("madebyollin/taef1", torch_dtype=dtype).to(device) +good_vae = AutoencoderKL.from_pretrained(base_model, subfolder="vae", torch_dtype=dtype).to(device) +pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=dtype, vae=taef1).to(device) +pipe_i2i = AutoPipelineForImage2Image.from_pretrained(base_model, + vae=good_vae, + transformer=pipe.transformer, + text_encoder=pipe.text_encoder, + tokenizer=pipe.tokenizer, + text_encoder_2=pipe.text_encoder_2, + tokenizer_2=pipe.tokenizer_2, + torch_dtype=dtype + ) + +MAX_SEED = 2**32-1 + +pipe.flux_pipe_call_that_returns_an_iterable_of_images = flux_pipe_call_that_returns_an_iterable_of_images.__get__(pipe) + +class calculateDuration: + def __init__(self, activity_name=""): + self.activity_name = activity_name + + def __enter__(self): + self.start_time = time.time() + return self + + def __exit__(self, exc_type, exc_value, traceback): + self.end_time = time.time() + self.elapsed_time = self.end_time - self.start_time + if self.activity_name: + print(f"Elapsed time for {self.activity_name}: {self.elapsed_time:.6f} seconds") + else: + print(f"Elapsed time: {self.elapsed_time:.6f} seconds") + +def update_selection(evt: gr.SelectData, width, height): + selected_lora = loras[evt.index] + new_placeholder = f"Type a prompt for {selected_lora['title']}" + lora_repo = selected_lora["repo"] + updated_text = f"### Selected: [{lora_repo}](https://huggingface.co/{lora_repo}) ✅" + if "aspect" in selected_lora: + if selected_lora["aspect"] == "portrait": + width = 768 + height = 1024 + elif selected_lora["aspect"] == "landscape": + width = 1024 + height = 768 + else: + width = 1024 + height = 1024 + return ( + gr.update(placeholder=new_placeholder), + updated_text, + evt.index, + width, + height, + ) + +@spaces.GPU(duration=100) +def generate_image(prompt_mash, steps, seed, cfg_scale, width, height, lora_scale, progress): + pipe.to("cuda") + generator = torch.Generator(device="cuda").manual_seed(seed) + with calculateDuration("Generating image"): + # Generate image + for img in pipe.flux_pipe_call_that_returns_an_iterable_of_images( + prompt=prompt_mash, + num_inference_steps=steps, + guidance_scale=cfg_scale, + width=width, + height=height, + generator=generator, + joint_attention_kwargs={"scale": lora_scale}, + output_type="pil", + good_vae=good_vae, + ): + yield img + +def generate_image_to_image(prompt_mash, image_input_path, image_strength, steps, cfg_scale, width, height, lora_scale, seed): + generator = torch.Generator(device="cuda").manual_seed(seed) + pipe_i2i.to("cuda") + image_input = load_image(image_input_path) + final_image = pipe_i2i( + prompt=prompt_mash, + image=image_input, + strength=image_strength, + num_inference_steps=steps, + guidance_scale=cfg_scale, + width=width, + height=height, + generator=generator, + joint_attention_kwargs={"scale": lora_scale}, + output_type="pil", + ).images[0] + return final_image + +@spaces.GPU(duration=100) +def run_lora(prompt, image_input, image_strength, cfg_scale, steps, selected_index, randomize_seed, seed, width, height, lora_scale, progress=gr.Progress(track_tqdm=True)): + if selected_index is None: + raise gr.Error("You must select a LoRA before proceeding.🧨") + selected_lora = loras[selected_index] + lora_path = selected_lora["repo"] + trigger_word = selected_lora["trigger_word"] + if(trigger_word): + if "trigger_position" in selected_lora: + if selected_lora["trigger_position"] == "prepend": + prompt_mash = f"{trigger_word} {prompt}" + else: + prompt_mash = f"{prompt} {trigger_word}" + else: + prompt_mash = f"{trigger_word} {prompt}" + else: + prompt_mash = prompt + + with calculateDuration("Unloading LoRA"): + pipe.unload_lora_weights() + pipe_i2i.unload_lora_weights() + + #LoRA weights flow + with calculateDuration(f"Loading LoRA weights for {selected_lora['title']}"): + pipe_to_use = pipe_i2i if image_input is not None else pipe + weight_name = selected_lora.get("weights", None) + + pipe_to_use.load_lora_weights( + lora_path, + weight_name=weight_name, + low_cpu_mem_usage=True + ) + + with calculateDuration("Randomizing seed"): + if randomize_seed: + seed = random.randint(0, MAX_SEED) + + if(image_input is not None): + + final_image = generate_image_to_image(prompt_mash, image_input, image_strength, steps, cfg_scale, width, height, lora_scale, seed) + yield final_image, seed, gr.update(visible=False) + else: + image_generator = generate_image(prompt_mash, steps, seed, cfg_scale, width, height, lora_scale, progress) + + final_image = None + step_counter = 0 + for image in image_generator: + step_counter+=1 + final_image = image + progress_bar = f'
"+trigger_word+"
as the trigger word" if trigger_word else "No trigger word found. If there's a trigger word, include it in your prompt"}