| 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 |
|
|
| |
|
|
| |
| |
|
|
| |
| |
| |
|
|
| 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 |
|
|
| |
| @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 = [ |
| |
| { |
| "image": "https://huggingface.co/strangerzonehf/Flux-Super-Realism-LoRA/resolve/main/images/1.png", |
| "title": "ez", |
| "repo": "codermert/ezelll_flux", |
| "weights": "flux_train_replicate.safetensors", |
| "trigger_word": "Super Realism" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "image": "https://huggingface.co/strangerzonehf/Ghibli-Flux-Cartoon-LoRA/resolve/main/images/3333.png", |
| "title": "Ghibli Flux", |
| "repo": "strangerzonehf/Ghibli-Flux-Cartoon-LoRA", |
| "weights": "Ghibili-Cartoon-Art.safetensors", |
| "trigger_word": "Ghibli Art" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "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/strangerzonehf/Flux-Ultimate-LoRA-Collection/resolve/main/images/example_aqz3dv60n.jpeg", |
| "title": "SHOU_XIN", |
| "repo": "Datou1111/shou_xin", |
| "weights": "shou_xin.safetensors", |
| "trigger_word": "shou_xin, pencil sketch" |
| }, |
| { |
| "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" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| |
| { |
| "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" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "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." |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "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": "" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "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": "" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "image": "https://huggingface.co/alvdansen/mooniverse/resolve/main/images/out-0%20(17).webp", |
| "title": "Mooniverse", |
| "repo": "alvdansen/mooniverse", |
| "trigger_word": "surreal style" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "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": "" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "image": "https://huggingface.co/mgwr/Cine-Aesthetic/resolve/main/images/00019-1333633802.png", |
| "title": "Cine Aesthetic", |
| "repo": "mgwr/Cine-Aesthetic", |
| "trigger_word": "mgwr/cine" |
| }, |
| |
| { |
| "image": "https://huggingface.co/SebastianBodza/flux_cute3D/resolve/main/images/astronaut.webp", |
| "title": "Cute 3D", |
| "repo": "SebastianBodza/flux_cute3D", |
| "trigger_word": "NEOCUTE3D" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "image": "https://cdn-uploads.huggingface.co/production/uploads/64b24543eec33e27dc9a6eca/_jyra-jKP_prXhzxYkg1O.png", |
| "title": "Pastel Anime", |
| "repo": "Raelina/Flux-Pastel-Anime", |
| "trigger_word": "Anime" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "image": "https://huggingface.co/bingbangboom/flux-miniature-worlds/resolve/main/images/2.jpg", |
| "title": "Miniature", |
| "repo": "bingbangboom/flux-miniature-worlds", |
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| |
| { |
| "image": "https://huggingface.co/glif-loradex-trainer/bingbangboom_flux_surf/resolve/main/samples/1729012111574__000002000_0.jpg", |
| "title": "Surf Bingbangboom", |
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| }, |
| |
| { |
| "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", |
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| }, |
| |
| { |
| "image": "https://huggingface.co/alvdansen/sonny-anime-fixed/resolve/main/images/uqAuIMqA6Z7mvPkHg4qJE_f4c3cbe64e0349e7b946d02adeacdca3.png", |
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| |
| { |
| "image": "https://huggingface.co/davisbro/flux-multi-angle/resolve/main/multi-angle-examples/3.png", |
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| |
| { |
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| |
| }, |
| |
| { |
| "image": "https://huggingface.co/Shakker-Labs/FLUX.1-dev-LoRA-Text-Poster/resolve/main/images/6dd1a918d89991ad5e40513ab88e7d892077f89dac93edcf4b660dd2.jpg", |
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| |
| { |
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| |
| { |
| "image": "https://huggingface.co/Purz/face-projection/resolve/main/34031797.jpeg", |
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| |
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| |
| { |
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| |
| { |
| "image": "https://huggingface.co/renderartist/toyboxflux/resolve/main/images/3D__00366_.png", |
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| |
| { |
| "image": "https://huggingface.co/Shakker-Labs/FLUX.1-dev-LoRA-live-3D/resolve/main/images/51a716fb6fe9ba5d54c260b70e7ff661d38acedc7fb725552fa77bcf.jpg", |
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| |
| { |
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| |
| { |
| "image": "https://huggingface.co/Shakker-Labs/FLUX.1-dev-LoRA-Logo-Design/resolve/main/images/73e7db6a33550d05836ce285549de60075d05373c7b0660d631dac33.jpg", |
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| |
| { |
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| |
| { |
| "image": "https://huggingface.co/punzel/flux_jenna_ortega/resolve/main/images/ComfyUI_Flux_Finetune_00065_.png", |
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| |
| { |
| "image": "https://huggingface.co/Wakkamaruh/balatro-poker-cards/resolve/main/samples/01.png", |
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| |
| { |
| "image": "https://huggingface.co/lichorosario/flux-cubist-cartoon/resolve/main/samples/albert-einstein.png", |
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| |
| { |
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| |
| { |
| "image": "https://huggingface.co/ampp/rough-kids-illustrations/resolve/main/samples/1725115106736__000001000_0.jpg", |
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| { |
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| { |
| "image": "https://huggingface.co/AlekseyCalvin/Propaganda_Poster_Schnell_by_doctor_diffusion/resolve/main/Trashy.png", |
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| { |
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| |
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| |
| { |
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| |
| { |
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| |
| { |
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| |
| { |
| "image": "https://huggingface.co/prithivMLmods/Canopus-LoRA-Flux-Typography-ASCII/resolve/main/images/NNN.png", |
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| |
| { |
| "image": "https://huggingface.co/mateo-19182/mosoco/resolve/main/samples/1725714834007__000002000_0.jpg", |
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| { |
| "image": "https://huggingface.co/jakedahn/flux-latentpop/resolve/main/images/2.webp", |
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| { |
| "image": "https://huggingface.co/glif-loradex-trainer/ddickinson_dstyl3xl/resolve/main/samples/1728556571974__000001500_2.jpg", |
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| |
| { |
| "image": "https://huggingface.co/TDN-M/RetouchFLux/resolve/main/images/496f0680-0158-4f37-805d-d227c1a08a7b.png", |
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| |
| { |
| "image": "https://huggingface.co/renderartist/weirdthingsflux/resolve/main/images/3D__02303_.png", |
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| "title": "Replicate Flux LoRA", |
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| |
| { |
| "image": "https://huggingface.co/alvdansen/haunted_linework_flux/resolve/main/images/ComfyUI_00755_.png", |
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| "image": "https://huggingface.co/Wadaka/Mojo_Style_LoRA/resolve/main/Samples/Sample2.png", |
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| |
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| |
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| |
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| |
| { |
| "image": "https://huggingface.co/wayned/fruitlabels/resolve/main/images/ComfyUI_03969_.png", |
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| |
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| |
| { |
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| |
| { |
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| |
| { |
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| "title": "Melt Acid", |
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| |
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| |
| { |
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| |
| { |
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| |
| { |
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| "trigger_word": "CCTUR3" |
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| |
| { |
| "image": "https://huggingface.co/strangerzonehf/Flux-3DXL-Partfile-C0001/resolve/main/images/C3.png", |
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| |
| { |
| "image": "https://huggingface.co/Purz/neon-sign/resolve/main/33944768.jpeg", |
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| |
| { |
| "image": "https://huggingface.co/WizWhite/wizard-s-vintage-sardine-tins/resolve/main/27597694.jpeg", |
| "title": "Vintage Sardine Tins", |
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| "trigger_word": "Vintage Sardine Tin, Tinned Fish, vintage xyz tin" |
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| |
| { |
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| { |
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| { |
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| |
| { |
| "image": "https://huggingface.co/AlloReview/flux-lora-undraw/resolve/main/images/Flux%20Lora%20Undraw%20Prediction.webp", |
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| |
| { |
| "image": "https://huggingface.co/Disra/lora-anime-test-02/resolve/main/assets/image_0_0.png", |
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| |
| { |
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| |
| { |
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| |
| { |
| "image": "https://huggingface.co/RareConcepts/Flux.1-dev-LoKr-Moonman/resolve/main/assets/image_6_0.png", |
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| |
| { |
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| |
| { |
| "image": "https://huggingface.co/Omarito2412/Stars-Galaxy-Flux/resolve/main/images/25128409.jpeg", |
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| |
| { |
| "image": "https://huggingface.co/brushpenbob/flux-pencil-v2/resolve/main/26193927.jpeg", |
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| |
| { |
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| |
| { |
| "image": "https://huggingface.co/victor/contemporarink/resolve/main/images/example_hnqc22urm.png", |
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| |
| { |
| "image": "https://huggingface.co/wavymulder/OverlordStyleFLUX/resolve/main/imgs/ComfyUI_00668_.png", |
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| |
| { |
| "image": "https://huggingface.co/marceloxp/canny-quest/resolve/main/26676266.jpeg", |
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| |
| { |
| "image": "https://huggingface.co/busetolunay/building_flux_lora_v1/resolve/main/samples/1725469125185__000001250_2.jpg", |
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| { |
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| |
| { |
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| |
| { |
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| |
| { |
| "image": "https://huggingface.co/prithivMLmods/Castor-Gta6-Theme-Flux-LoRA/resolve/main/images/gta1.webp", |
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| |
| { |
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| |
| { |
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| |
| { |
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| { |
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| { |
| "image": "https://huggingface.co/glif-loradex-trainer/maxxd4240_minimalistPastel/resolve/main/samples/1727255690613__000002500_0.jpg", |
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| |
| { |
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| |
| { |
| "image": "https://huggingface.co/WizWhite/wizard-s-paper-model-universe/resolve/main/35746354.jpeg", |
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| |
| { |
| "image": "https://huggingface.co/renderartist/retrocomicflux/resolve/main/images/ComfyUI_temp_ipugi_00040_.png", |
| "title": "Retrocomic Flux", |
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| |
| { |
| "image": "https://huggingface.co/prithivMLmods/Castor-Happy-Halloween-Flux-LoRA/resolve/main/images/hw1.webp", |
| "title": "Halloween Flux", |
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| |
| { |
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| |
| { |
| "image": "https://huggingface.co/renderartist/coloringbookflux/resolve/main/images/ComfyUI_09731_.png", |
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| |
| { |
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| { |
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| |
| { |
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| { |
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| { |
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| |
| { |
| "image": "https://huggingface.co/prithivMLmods/Ton618-Tarot-Cards-Flux-LoRA/resolve/main/images/c2.webp", |
| "title": "Tarot Cards", |
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| |
| { |
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| { |
| "image": "https://huggingface.co/prithivMLmods/Ton618-Epic-Realism-Flux-LoRA/resolve/main/images/ep3.png", |
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| { |
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| { |
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| { |
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| { |
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| { |
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| |
| { |
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| { |
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| |
| { |
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| |
| { |
| "image": "https://huggingface.co/prithivMLmods/Coloring-Book-Flux-LoRA/resolve/main/images/EB1.png", |
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| |
| { |
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| |
| { |
| "image": "https://huggingface.co/prithivMLmods/Glowing-Body-Flux-LoRA/resolve/main/images/GB3.png", |
| "title": "Glowing Body Flux", |
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| |
| { |
| "image": "https://huggingface.co/prithivMLmods/Electric-Blue-Flux-LoRA/resolve/main/images/EB3.png", |
| "title": "Electric Blue", |
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| |
| { |
| "image": "https://huggingface.co/prithivMLmods/Clouds-Illusion-Flux-LoRA/resolve/main/images/CI2.png", |
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| |
| { |
| "image": "https://huggingface.co/prithivMLmods/Digital-Yellow-Flux-LoRA/resolve/main/images/DY3.png", |
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| |
| { |
| "image": "https://huggingface.co/cfahlgren1/flux-qwen-capybara/resolve/main/images/example_72ao6twvk.png", |
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| "image": "https://huggingface.co/dasdsff/PleinAirArt/resolve/main/images/e7499ccc-7504-4086-842f-275a5428ef0e.jpg", |
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| |
| { |
| "image": "https://huggingface.co/prithivMLmods/Lime-Green-Flux-LoRA/resolve/main/images/LM1.png", |
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| { |
| "image": "https://huggingface.co/prithivMLmods/Fractured-Line-Flare/resolve/main/images/FS1.png", |
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| { |
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| { |
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| { |
| "image": "https://huggingface.co/tryonlabs/FLUX.1-dev-LoRA-Outfit-Generator/resolve/main/images/sample7.jpeg", |
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| { |
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| { |
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| { |
| "image": "https://huggingface.co/prithivMLmods/Purple-Grid-Flux-LoRA/resolve/main/images/PG2.png", |
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| { |
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| { |
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| |
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| |
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| |
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| { |
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| |
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| "image": "https://huggingface.co/prithivMLmods/Canopus-Flux-LoRA-Hoodies/resolve/main/images/XXX.png", |
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| { |
| "image": "https://huggingface.co/glif-loradex-trainer/goldenark__Ancient_Greece_Watercolor_Sketch_Style/resolve/main/samples/1727152322975__000002000_0.jpg", |
| "title": "Ancient Greece Watercolor", |
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| |
| { |
| "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" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "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" |
| }, |
| |
| { |
| "image": "https://huggingface.co/strangerzonehf/Qd-Sketch/resolve/main/images/3.png", |
| "title": "Qd-Sketch", |
| "repo": "strangerzonehf/Qd-Sketch", |
| "weights": "Qd Sketch.safetensors", |
| "trigger_word": "Qd-Sketch" |
| }, |
| |
| |
| ] |
|
|
| |
|
|
| dtype = torch.bfloat16 |
| device = "cuda" if torch.cuda.is_available() else "cpu" |
| base_model = "black-forest-labs/FLUX.1-dev" |
|
|
| |
| 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"): |
| |
| 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() |
| |
| |
| 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'<div class="progress-container"><div class="progress-bar" style="--current: {step_counter}; --total: {steps};"></div></div>' |
| 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) |
| |
| |
| if((base_model != "black-forest-labs/FLUX.1-dev") and (base_model != "black-forest-labs/FLUX.1-schnell")): |
| raise Exception("Flux LoRA Not Found!") |
| |
| |
| |
| |
| |
| 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''' |
| <div class="custom_lora_card"> |
| <span>Loaded custom LoRA:</span> |
| <div class="card_internal"> |
| <img src="{image}" /> |
| <div> |
| <h3>{title}</h3> |
| <small>{"Using: <code><b>"+trigger_word+"</code></b> as the trigger word" if trigger_word else "No trigger word found. If there's a trigger word, include it in your prompt"}<br></small> |
| </div> |
| </div> |
| </div> |
| ''' |
| 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( |
| """<h1>FLUX LoRA DLC🥳</h1>""", |
| 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="250+ 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() |
