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) 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-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" }, #-----------------------------------------------------------------------------------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": "https://huggingface.co/Shakker-Labs/FLUX.1-dev-LoRA-Garbage-Bag-Art/resolve/main/images/42e944819b43869a03dc252d10409b5944a62494c7082816121016f9.jpg", "title": "Garbage Bag Art", "repo": "Shakker-Labs/FLUX.1-dev-LoRA-Garbage-Bag-Art", "trigger_word": "Inflatable plastic bag" }, #40 { "image": "https://huggingface.co/Shakker-Labs/FLUX.1-dev-LoRA-Logo-Design/resolve/main/images/73e7db6a33550d05836ce285549de60075d05373c7b0660d631dac33.jpg", "title": "Logo Design", "repo": "Shakker-Labs/FLUX.1-dev-LoRA-Logo-Design", "trigger_word": "wablogo, logo, Minimalist" }, #41 { "image": "https://huggingface.co/punzel/flux_sadie_sink/resolve/main/images/ComfyUI_Flux_Finetune_00069_.png", "title": "Sadie Sink", "repo": "punzel/flux_sadie_sink", "weights": "flux_sadie_sink.safetensors", "trigger_word": "Sadie Sink" }, #42 { "image": "https://huggingface.co/punzel/flux_jenna_ortega/resolve/main/images/ComfyUI_Flux_Finetune_00065_.png", "title": "Jenna ortega", "repo": "punzel/flux_jenna_ortega", "weights": "flux_jenna_ortega.safetensors", "trigger_word": "Jenna ortega" }, #43 { "image": "https://huggingface.co/Wakkamaruh/balatro-poker-cards/resolve/main/samples/01.png", "title": "Poker Cards", "repo": "Wakkamaruh/balatro-poker-cards", "weights": "balatro-poker-cards.safetensors", "trigger_word": "balatrocard" }, #44 { "image": "https://huggingface.co/lichorosario/flux-cubist-cartoon/resolve/main/samples/albert-einstein.png", "title": "Cubist Cartoon", "repo": "lichorosario/flux-cubist-cartoon", "weights": "lora.safetensors", "trigger_word": "CBSTCRTN" }, #45 { "image": "https://huggingface.co/iliketoasters/miniature-people/resolve/main/images/1757-over%20the%20shoulder%20shot%2C%20raw%20photo%2C%20a%20min-fluxcomfy-orgflux1-dev-fp8-128443497-converted.png", "title": "Miniature People", "repo": "iliketoasters/miniature-people", "trigger_word": "miniature people" }, #46 { "image": "https://huggingface.co/ampp/rough-kids-illustrations/resolve/main/samples/1725115106736__000001000_0.jpg", "title": "kids Illustrations", "repo": "ampp/rough-kids-illustrations", "weights": "rough-kids-illustrations.safetensors", "trigger_word": "r0ughkids4rt" }, #47 { "image": "https://huggingface.co/lichorosario/flux-lora-tstvctr/resolve/main/images/example_mo3jx93o6.png", "title": "TSTVCTR Cartoon", "repo": "lichorosario/flux-lora-tstvctr", "weights": "lora.safetensors", "trigger_word": "TSTVCTR cartoon illustration" }, #48 { "image": "https://huggingface.co/lichorosario/flux-lora-gliff-tosti-vector-no-captions-2500s/resolve/main/images/example_i6h6fi9sq.png", "title": "Tosti Vector", "repo": "lichorosario/flux-lora-gliff-tosti-vector-no-captions-2500s", "weights": "flux_dev_tosti_vector_without_captions_000002500.safetensors", "trigger_word": "" }, #49 { "image": "https://huggingface.co/AlekseyCalvin/Propaganda_Poster_Schnell_by_doctor_diffusion/resolve/main/Trashy.png", "title": "Propaganda Poster", "repo": "AlekseyCalvin/Propaganda_Poster_Schnell_by_doctor_diffusion", "weights": "propaganda_schnell_v1.safetensors", "trigger_word": "propaganda poster" }, #50 { "image": "https://huggingface.co/WizWhite/Wiz-PunchOut_Ringside_Portrait/resolve/main/images/punch0ut__ringside_pixel_portrait_depicting_chris_brown_wearing_a_veil__moonstone_gray_background_with_white_ropes___1923906484.png", "title": "Ringside Portrait", "repo": "WizWhite/Wiz-PunchOut_Ringside_Portrait", "trigger_word": "punch0ut, ringside pixel portrait depicting" }, #51 { "image": "https://huggingface.co/glif-loradex-trainer/kklors_flux_dev_long_exposure/resolve/main/samples/1729016926778__000003000_3.jpg", "title": "Long Exposure", "repo": "glif-loradex-trainer/kklors_flux_dev_long_exposure", "weights": "flux_dev_long_exposure.safetensors", "trigger_word": "LE" }, #52 { "image": "https://huggingface.co/DamarJati/streetwear-flux/resolve/main/img/79e891f9-ceb8-4f8a-a51d-bb432789d037.jpeg", "title": "Street Wear", "repo": "DamarJati/streetwear-flux", "weights": "Streetwear.safetensors", "trigger_word": "Handling Information Tshirt template" }, #53 { "image": "https://huggingface.co/multimodalart/vintage-ads-flux/resolve/main/samples/-FMpgla6rQ1hBwBpbr-Ao_da7b23c29de14a9cad94901879ae2e2b.png", "title": "Vintage Ads Flux", "repo": "multimodalart/vintage-ads-flux", "weights": "vintage-ads-flux-1350.safetensors", "trigger_word": "a vintage ad of" }, #54 { "image": 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"flux_dev_ff_collage_artstyle.safetensors", "trigger_word": "ff-collage" }, #185 { "image": "https://huggingface.co/prithivMLmods/Flux.1-Dev-Quote-LoRA/resolve/main/images/QQ2.png", "title": "Quote", "repo": "prithivMLmods/Flux.1-Dev-Quote-LoRA", "weights": "quoter001.safetensors", "trigger_word": "quoter" }, #186 { "image": "https://huggingface.co/prithivMLmods/Flux.1-Dev-Stamp-Art-LoRA/resolve/main/images/SS2.png", "title": "Stamp", "repo": "prithivMLmods/Flux.1-Dev-Stamp-Art-LoRA", "weights": "stam9.safetensors", "trigger_word": "stam9" }, #187 { "image": "https://huggingface.co/prithivMLmods/Flux.1-Dev-Hand-Sticky-LoRA/resolve/main/images/H3.png", "title": "Hand Sticky", "repo": "prithivMLmods/Flux.1-Dev-Hand-Sticky-LoRA", "weights": "handstick69.safetensors", "trigger_word": "handstick69" }, #188 { "image": "https://huggingface.co/prithivMLmods/Flux.1-Dev-Poster-HQ-LoRA/resolve/main/images/PP2.png", "title": "Poster Foss", "repo": "prithivMLmods/Flux.1-Dev-Poster-HQ-LoRA", "weights": "poster-foss.safetensors", "trigger_word": "poster foss" }, #189 { "image": "https://huggingface.co/prithivMLmods/Flux.1-Dev-Ctoon-LoRA/resolve/main/images/C3.png", "title": "Ctoon", "repo": "prithivMLmods/Flux.1-Dev-Ctoon-LoRA", "weights": "ctoon.safetensors", "trigger_word": "ctoon" }, #190 { "image": "https://huggingface.co/glif-loradex-trainer/_wezz_flux_dev_4li3nfur/resolve/main/samples/1726702721424__000003000_3.jpg", "title": "4li3nfur", "repo": "glif-loradex-trainer/_wezz_flux_dev_4li3nfur", "weights": "flux_dev_4li3nfur.safetensors", "trigger_word": "4li3nfur" }, #191 { "image": "https://huggingface.co/prithivMLmods/Flux.1-Dev-Indo-Realism-LoRA/resolve/main/images/333.png", "title": "Indo Realism", "repo": "prithivMLmods/Flux.1-Dev-Indo-Realism-LoRA", "weights": "indo-realism.safetensors", "trigger_word": "indo-realism" }, #192 { "image": "https://huggingface.co/prithivMLmods/Flux.1-Dev-Sketch-Card-LoRA/resolve/main/images/SC2.png", "title": "Sketch Card", "repo": "prithivMLmods/Flux.1-Dev-Sketch-Card-LoRA", "weights": "sketchcard.safetensors", "trigger_word": "sketch card" }, #193 { "image": "https://huggingface.co/prithivMLmods/Flux.1-Dev-Movie-Boards-LoRA/resolve/main/images/MB1.png", "title": "Movie Board", "repo": "prithivMLmods/Flux.1-Dev-Movie-Boards-LoRA", "weights": "movieboard.safetensors", "trigger_word": "movieboard" }, #194 { "image": "https://huggingface.co/prithivMLmods/Flux.1-Dev-Pov-DoorEye-LoRA/resolve/main/images/L4.png", "title": "Door Eye View", "repo": "prithivMLmods/Flux.1-Dev-Pov-DoorEye-LoRA", "weights": "look-in-2.safetensors", "trigger_word": "look in 2" }, #195 { "image": "https://huggingface.co/alvdansen/enna-sketch-style/resolve/main/images/out-0%20(23).webp", "title": "Enna Sketch", "repo": "alvdansen/enna-sketch-style", "weights": "enna_sketch_style_araminta_k.safetensors", "trigger_word": "sketch illustration style" }, #196 { "image": "https://huggingface.co/jbilcke-hf/flux-dev-panorama-lora-2/resolve/main/samples/HDRI%20panoramic%20view%20of%20TOK%2C%20visiting%20an%20amusement%20park%20about%20harry%20potter.webp", "title": "Panorama", "repo": "jbilcke-hf/flux-dev-panorama-lora-2", "weights": "flux_train_replicate.safetensors", "trigger_word": "HDRI panoramic view of TOK" }, #197 { "image": "https://huggingface.co/Shakker-Labs/FLUX.1-dev-LoRA-Micro-landscape-on-Mobile-Phone/resolve/main/images/a29b8763a8f733dea09c1ab07a42263ef6e304cb81be3f5c97fbf8f6.jpg", "title": "Micro Landscape", "repo": "Shakker-Labs/FLUX.1-dev-LoRA-Micro-landscape-on-Mobile-Phone", "weights": "FLUX-dev-lora-micro-landscape.safetensors", "trigger_word": "miniature stereoscopic scene" }, #198 { "image": "https://huggingface.co/glif-loradex-trainer/goldenark__Ancient_Greece_Watercolor_Sketch_Style/resolve/main/samples/1727152322975__000002000_0.jpg", "title": "Ancient Greece Watercolor", "repo": "glif-loradex-trainer/goldenark__Ancient_Greece_Watercolor_Sketch_Style", "weights": "Ancient_Greece_Watercolor_Sketch_Style.safetensors", "trigger_word": "AncientWaterColorStyle" }, #199 { "image": "https://huggingface.co/glif-loradex-trainer/i12bp8_appelsiensam_mii_v1/resolve/main/samples/1731918886531__000003000_0.jpg", "title": "M11 PPLSNSM", "repo": "glif-loradex-trainer/i12bp8_appelsiensam_mii_v1", "weights": "appelsiensam_mii_v1.safetensors", "trigger_word": "M11_PPLSNSM" }, #200 { "image": "https://huggingface.co/glif-loradex-trainer/an303042_RisographPrint_v1/resolve/main/samples/1731852835625__000003000_5.jpg", "title": "RisographPrint", "repo": "glif-loradex-trainer/an303042_RisographPrint_v1", "weights": "RisographPrint_v1.safetensors", "trigger_word": "rsgrf , risograph" }, #201 { "image": "https://huggingface.co/gokaygokay/Flux-White-Background-LoRA/resolve/main/images/example_mtojzmerf.png", "title": "White Background", "repo": "gokaygokay/Flux-White-Background-LoRA", "weights": "80cfbf52faf541d49c6abfe1ac571112_lora.safetensors", "trigger_word": "in the middle ,white background" }, #202 { "image": "https://huggingface.co/glif/Gesture-Draw/resolve/main/images/cf8697fb-d6b4-4684-8a1d-82beb9d266ed.jpg", "title": "Gesture Draw", "repo": "glif/Gesture-Draw", "weights": "Gesture_Draw_v1.safetensors", "trigger_word": "gstdrw style" } #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"}