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" }, #Datou1111/shou_xin { "image": "https://huggingface.co./Datou1111/shou_xin/resolve/main/images/img__00309_.png", "title": "SHOU_XIN", "repo": "Datou1111/shou_xin", "weights": "shou_xin.safetensors", "trigger_word": "shou_xin, pencil sketch" }, #smudge { "image": "https://huggingface.co./strangerzonehf/Flux-Sketch-Smudge-LoRA/resolve/main/images/5.png", "title": "Sketch_Smudge", "repo": "strangerzonehf/Flux-Sketch-Smudge-LoRA", "weights": "Sketch-Smudge.safetensors", "trigger_word": " Sketch Smudge" }, #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-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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"https://huggingface.co./prithivMLmods/Knitted-Character-Flux-LoRA/resolve/main/images/KC1.png", "title": "Knitted Character", "repo": "prithivMLmods/Knitted-Character-Flux-LoRA", "weights": "Knitted-Character.safetensors", "trigger_word": "Knitted Character" }, #165 { "image": "https://huggingface.co./alvdansen/frosting_lane_flux/resolve/main/images/content%20-%202024-08-11T010011.238.jpeg", "title": "Frosting Lane", "repo": "alvdansen/frosting_lane_flux", "trigger_word": "frstingln illustration" }, #166 { "image": "https://huggingface.co./prithivMLmods/Flux-Realism-FineDetailed/resolve/main/images/FD2.png", "title": "Fine Detailed Character", "repo": "prithivMLmods/Flux-Realism-FineDetailed", "weights": "Flux-Realism-FineDetailed.safetensors", "trigger_word": "Fine Detailed" }, #167 { "image": "https://huggingface.co./prithivMLmods/Aura-9999/resolve/main/images/A3.png", "title": "Aura 9999+", "repo": "prithivMLmods/Aura-9999", "weights": "Aura-9999.safetensors", "trigger_word": "Aura 9999" }, #168 { "image": "https://huggingface.co./prithivMLmods/Pastel-BG-Flux-LoRA/resolve/main/images/PB2.png", "title": "Pastel BG", "repo": "prithivMLmods/Pastel-BG-Flux-LoRA", "weights": "Pastel-BG.safetensors", "trigger_word": "Pastel BG" }, #169 { "image": "https://huggingface.co./prithivMLmods/Green-Cartoon-Flux-LoRA/resolve/main/images/GC1.png", "title": "Green Cartoon", "repo": "prithivMLmods/Green-Cartoon-Flux-LoRA", "weights": "Green-Cartoon.safetensors", "trigger_word": "Green Cartoon" }, #170 { "image": "https://huggingface.co./prithivMLmods/Retro-Pixel-Flux-LoRA/resolve/main/images/RP1.png", "title": "Retro Pixel", "repo": "prithivMLmods/Retro-Pixel-Flux-LoRA", "weights": "Retro-Pixel.safetensors", "trigger_word": "Retro Pixel" }, #171 { "image": "https://huggingface.co./prithivMLmods/Teen-Outfit/resolve/main/images/TO2.png", "title": "Teen Outfit", "repo": "prithivMLmods/Teen-Outfit", "weights": "Teen-Outfit.safetensors", "trigger_word": "Teen Outfit" }, #172 { "image": "https://huggingface.co./prithivMLmods/CAnime-LoRA/resolve/main/images/CA3.png", "title": "CAnime", "repo": "prithivMLmods/CAnime-LoRA", "weights": "CAnime.safetensors", "trigger_word": "CAnime" }, #173 { "image": "https://huggingface.co./prithivMLmods/Super-Pencil-Flux-LoRA/resolve/main/images/SP1.png", "title": "Simple Pencil", "repo": "prithivMLmods/Super-Pencil-Flux-LoRA", "weights": "Pencil.safetensors", "trigger_word": "Simple Pencil" }, #174 { "image": "https://huggingface.co./martintomov/retrofuturism-flux/resolve/main/images/2e40deba-858e-454f-ae1c-d1ba2adb6a65.jpeg", "title": "Retro futurism", "repo": "martintomov/retrofuturism-flux", "weights": 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"https://huggingface.co./alvdansen/sonny-anime-flex/resolve/main/images/GLuFasaLyEoBaAUQMREVf_20b5cf5b178a404296978e360a9ac435.png", "title": "sonny anime", "repo": "alvdansen/sonny-anime-flex", "weights": "araminta_k_sonnyanime_fluxd_flex.safetensors", "trigger_word": "nm22 [style] style" }, #179 { "image": "https://huggingface.co./bingbangboom/flux_whimscape/resolve/main/images/2.png", "title": "flux whimscape", "repo": "bingbangboom/flux_whimscape", "weights": "WHMSCPE001.safetensors", "trigger_word": "illustration in the style of WHMSCPE001" }, #180 { "image": "https://huggingface.co./glif-loradex-trainer/AP123_movie_shots_ic_lora_experiment_v1/resolve/main/samples/1730923312010__000000500_1.jpg", "title": "movie shots ic lora", "repo": "glif-loradex-trainer/AP123_movie_shots_ic_lora_experiment_v1", "weights": "movie_shots_ic_lora_experiment_v1.safetensors", "trigger_word": "MOVIE-SHOTS" }, #181 { "image": "https://huggingface.co./glif/LiDAR-Vision/resolve/main/images/f8f1995e-c583-425b-b73a-f3e873ce1005.png", "title": "LiDAR", "repo": "glif/LiDAR-Vision", "weights": "Lidar.safetensors", "trigger_word": "L1d4r" }, #182 { "image": "https://huggingface.co./prithivMLmods/Canopus-Flux-LoRA-Hoodies/resolve/main/images/XXX.png", "title": "Hoodies", "repo": "prithivMLmods/Canopus-Flux-LoRA-Hoodies", "weights": "Canopus-Flux-LoRA-Hoodies.safetensors", "trigger_word": "Hoodie" }, #183 { "image": "https://huggingface.co./dvyio/flux-lora-rdr2/resolve/main/images/RTqPoC9s0M1wNhago27OV_dda06f47ee764202aa5e55efa923b94e.jpg", "title": "World of RDR", "repo": "dvyio/flux-lora-rdr2", "weights": "eb79a593332f40458ea36fe0782f01a4_pytorch_lora_weights.safetensors", "trigger_word": "in the style of RDRGM" }, #184 { "image": "https://huggingface.co./Fihade/Retro-Collage-Art-Flux-Dev/resolve/main/images/005.jpeg", "title": "Retro Collage Art", 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"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./prithivMLmods/Flux-C33-Design-LoRA/resolve/main/images/3.png", "title": "C33 Design", "repo": "prithivMLmods/Flux-C33-Design-LoRA", "weights": "C33.safetensors", "trigger_word": "C33 Design" }, #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" }, #203 { "image": "https://huggingface.co./MuninStudio/FLUX.1-dev-LoRA-Hard-Flash/resolve/main/images/02.jpg", "title": "Hard Flash", "repo": "MuninStudio/FLUX.1-dev-LoRA-Hard-Flash", "weights": "HRDFLS.safetensors", "trigger_word": "HRDFLS" }, #204 { "image": "https://huggingface.co./dvyio/flux-lora-the-sims/resolve/main/images/dunBAVBsALOepaE_dsWFI_6b0fef6b0fc4472aa07d00edea7c75b3.jpg", "title": "SIMS", "repo": "dvyio/flux-lora-the-sims", "weights": "011ed14848b3408c8d70d3ecfa14f122_lora.safetensors", "trigger_word": "video game screenshot in the style of THSMS" }, #205 { "image": "https://huggingface.co./UmeAiRT/FLUX.1-dev-LoRA-Ume_Sky/resolve/main/images/flux_00171_.png", "title": "Umesky", "repo": "UmeAiRT/FLUX.1-dev-LoRA-Ume_Sky", "weights": "ume_sky_v2.safetensors", "trigger_word": "umesky" }, #206 { "image": "https://huggingface.co./prithivMLmods/Flux.1-Dev-Realtime-Toon-Mix/resolve/main/images/T1.png", "title": "Realtime Toon Mix", "repo": "prithivMLmods/Flux.1-Dev-Realtime-Toon-Mix", "weights": "toon-mix.safetensors", "trigger_word": "toon mix" }, #207 { "image": "https://huggingface.co./oshtz/flux-pointcrayonstyle/resolve/main/images/pointcrayonstyle%20illustration%2C%20at%20a%20lighthouse%2C%20the%20ambiance%20is%20exotic%20and%20mysterious.png", "title": "Pointcrayonstyle", "repo": "oshtz/flux-pointcrayonstyle", "weights": "flux-pointcrayonstyle.safetensors", "trigger_word": "pointcrayonstyle" }, #208 { "image": "https://huggingface.co./Purz/vhs-box/resolve/main/33727059.jpeg", "title": "VSH Box", "repo": "Purz/vhs-box", "weights": "purz-vhs_box.safetensors", "trigger_word": "vhs_box" }, #209 { "image": "https://huggingface.co./nerijs/flux_prettyshot_v1/resolve/main/images/image_5.png", "title": "Prettyshot", "repo": "nerijs/flux_prettyshot_v1", "weights": "flux_prettyshot_v1.safetensors", "trigger_word": "pr3ttysh0t" }, #210 { "image": "https://huggingface.co./glif-loradex-trainer/insectagon_pipo_hippo1/resolve/main/samples/1729839793051__000001500_1.jpg", "title": "Insectagon pipo", "repo": "glif-loradex-trainer/insectagon_pipo_hippo1", "weights": "pipo_hippo1.safetensors", "trigger_word": "pipo_meme" }, #211 { "image": "https://huggingface.co./prithivMLmods/Flux-Polaroid-Plus/resolve/main/images/P1.png", "title": "Polaroid Plus", "repo": "prithivMLmods/Flux-Polaroid-Plus", "weights": "polaroid-plus.safetensors", "trigger_word": "Polaroid Collage" }, #212 { "image": "https://huggingface.co./prithivMLmods/Flux-Product-Ad-Backdrop/resolve/main/images/PA1.png", "title": "Product Ad", "repo": "prithivMLmods/Flux-Product-Ad-Backdrop", "weights": "Prod-Ad.safetensors", "trigger_word": "Product Ad" }, #213 { "image": "https://huggingface.co./prithivMLmods/Flux-Art-Nightmare-99/resolve/main/images/NM4.png", "title": "Nightmare 99", "repo": "prithivMLmods/Flux-Art-Nightmare-99", "weights": "nm99.safetensors", "trigger_word": "nm99" }, #214 { "image": "https://huggingface.co./prithivMLmods/Flux.1-Dev-Frosted-Container-LoRA/resolve/main/images/FG1.png", "title": "Frosted Container", "repo": "prithivMLmods/Flux.1-Dev-Frosted-Container-LoRA", "weights": "frosted-gc.safetensors", "trigger_word": "frosted GC" }, #215 { "image": "https://huggingface.co./glif-loradex-trainer/swap_magenta_kuki_roblox/resolve/main/samples/1731068408259__000001500_4.jpg", "title": "Magenta Kuki Roblox", "repo": "glif-loradex-trainer/swap_magenta_kuki_roblox", "weights": "magenta_kuki_roblox.safetensors", "trigger_word": "kuki_magenta, roblox" }, #216 { "image": "https://huggingface.co./glif-loradex-trainer/maxxd4240_PleinAir/resolve/main/samples/1730493095161__000003000_4.jpg", "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" }, #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'
' yield image, seed, gr.update(value=progress_bar, visible=True) yield final_image, seed, gr.update(value=progress_bar, visible=False) def get_huggingface_safetensors(link): split_link = link.split("/") if(len(split_link) == 2): model_card = ModelCard.load(link) base_model = model_card.data.get("base_model") print(base_model) #Allows Both if((base_model != "black-forest-labs/FLUX.1-dev") and (base_model != "black-forest-labs/FLUX.1-schnell")): raise Exception("Flux LoRA Not Found!") # Only allow "black-forest-labs/FLUX.1-dev" #if base_model != "black-forest-labs/FLUX.1-dev": #raise Exception("Only FLUX.1-dev is supported, other LoRA models are not allowed!") image_path = model_card.data.get("widget", [{}])[0].get("output", {}).get("url", None) trigger_word = model_card.data.get("instance_prompt", "") image_url = f"https://huggingface.co./{link}/resolve/main/{image_path}" if image_path else None fs = HfFileSystem() try: list_of_files = fs.ls(link, detail=False) for file in list_of_files: if(file.endswith(".safetensors")): safetensors_name = file.split("/")[-1] if (not image_url and file.lower().endswith((".jpg", ".jpeg", ".png", ".webp"))): image_elements = file.split("/") image_url = f"https://huggingface.co./{link}/resolve/main/{image_elements[-1]}" except Exception as e: print(e) gr.Warning(f"You didn't include a link neither a valid Hugging Face repository with a *.safetensors LoRA") raise Exception(f"You didn't include a link neither a valid Hugging Face repository with a *.safetensors LoRA") return split_link[1], link, safetensors_name, trigger_word, image_url def check_custom_model(link): if(link.startswith("https://")): if(link.startswith("https://huggingface.co.") or link.startswith("https://www.huggingface.co")): link_split = link.split("huggingface.co/") return get_huggingface_safetensors(link_split[1]) else: return get_huggingface_safetensors(link) def add_custom_lora(custom_lora): global loras if(custom_lora): try: title, repo, path, trigger_word, image = check_custom_model(custom_lora) print(f"Loaded custom LoRA: {repo}") card = f'''
Loaded custom LoRA:

{title}

{"Using: "+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"}
''' existing_item_index = next((index for (index, item) in enumerate(loras) if item['repo'] == repo), None) if(not existing_item_index): new_item = { "image": image, "title": title, "repo": repo, "weights": path, "trigger_word": trigger_word } print(new_item) existing_item_index = len(loras) loras.append(new_item) return gr.update(visible=True, value=card), gr.update(visible=True), gr.Gallery(selected_index=None), f"Custom: {path}", existing_item_index, trigger_word except Exception as e: gr.Warning(f"Invalid LoRA: either you entered an invalid link, or a non-FLUX LoRA") return gr.update(visible=True, value=f"Invalid LoRA: either you entered an invalid link, a non-FLUX LoRA"), gr.update(visible=False), gr.update(), "", None, "" else: return gr.update(visible=False), gr.update(visible=False), gr.update(), "", None, "" def remove_custom_lora(): return gr.update(visible=False), gr.update(visible=False), gr.update(), "", None, "" run_lora.zerogpu = True css = ''' #gen_btn{height: 100%} #gen_column{align-self: stretch} #title{text-align: center} #title h1{font-size: 3em; display:inline-flex; align-items:center} #title img{width: 100px; margin-right: 0.5em} #gallery .grid-wrap{height: 10vh} #lora_list{background: var(--block-background-fill);padding: 0 1em .3em; font-size: 90%} .card_internal{display: flex;height: 100px;margin-top: .5em} .card_internal img{margin-right: 1em} .styler{--form-gap-width: 0px !important} #progress{height:30px} #progress .generating{display:none} .progress-container {width: 100%;height: 30px;background-color: #f0f0f0;border-radius: 15px;overflow: hidden;margin-bottom: 20px} .progress-bar {height: 100%;background-color: #4f46e5;width: calc(var(--current) / var(--total) * 100%);transition: width 0.5s ease-in-out} ''' with gr.Blocks(theme="YTheme/Minecraft", css=css, delete_cache=(60, 60)) as app: title = gr.HTML( """

FLUX LoRA DLC🥳

""", elem_id="title", ) selected_index = gr.State(None) with gr.Row(): with gr.Column(scale=3): prompt = gr.Textbox(label="Prompt", lines=1, placeholder=":/ choose the LoRA and type the prompt ") with gr.Column(scale=1, elem_id="gen_column"): generate_button = gr.Button("Generate", variant="primary", elem_id="gen_btn") with gr.Row(): with gr.Column(): selected_info = gr.Markdown("") gallery = gr.Gallery( [(item["image"], item["title"]) for item in loras], label="LoRA DLC's", allow_preview=False, columns=3, elem_id="gallery", show_share_button=False ) with gr.Group(): custom_lora = gr.Textbox(label="Enter Custom LoRA", placeholder="prithivMLmods/Canopus-LoRA-Flux-Anime") gr.Markdown("[Check the list of FLUX LoRA's](https://huggingface.co./models?other=base_model:adapter:black-forest-labs/FLUX.1-dev)", elem_id="lora_list") custom_lora_info = gr.HTML(visible=False) custom_lora_button = gr.Button("Remove custom LoRA", visible=False) with gr.Column(): progress_bar = gr.Markdown(elem_id="progress",visible=False) result = gr.Image(label="Generated Image") with gr.Row(): with gr.Accordion("Advanced Settings", open=False): with gr.Row(): input_image = gr.Image(label="Input image", type="filepath") image_strength = gr.Slider(label="Denoise Strength", info="Lower means more image influence", minimum=0.1, maximum=1.0, step=0.01, value=0.75) with gr.Column(): with gr.Row(): cfg_scale = gr.Slider(label="CFG Scale", minimum=1, maximum=20, step=0.5, value=3.5) steps = gr.Slider(label="Steps", minimum=1, maximum=50, step=1, value=28) with gr.Row(): width = gr.Slider(label="Width", minimum=256, maximum=1536, step=64, value=1024) height = gr.Slider(label="Height", minimum=256, maximum=1536, step=64, value=1024) with gr.Row(): randomize_seed = gr.Checkbox(True, label="Randomize seed") seed = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=0, randomize=True) lora_scale = gr.Slider(label="LoRA Scale", minimum=0, maximum=3, step=0.01, value=0.95) gallery.select( update_selection, inputs=[width, height], outputs=[prompt, selected_info, selected_index, width, height] ) custom_lora.input( add_custom_lora, inputs=[custom_lora], outputs=[custom_lora_info, custom_lora_button, gallery, selected_info, selected_index, prompt] ) custom_lora_button.click( remove_custom_lora, outputs=[custom_lora_info, custom_lora_button, gallery, selected_info, selected_index, custom_lora] ) gr.on( triggers=[generate_button.click, prompt.submit], fn=run_lora, inputs=[prompt, input_image, image_strength, cfg_scale, steps, selected_index, randomize_seed, seed, width, height, lora_scale], outputs=[result, seed, progress_bar] ) app.queue() app.launch()