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README.md

@@ -1,13 +1,47 @@
----
-title: Nananie
-emoji: 🐠
-colorFrom: gray
-colorTo: gray
-sdk: gradio
-sdk_version: 5.1.0
-app_file: app.py
-pinned: false
-license: apache-2.0
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+---
+title: FLUX LoRa the Explorer
+emoji: 🏆
+colorFrom: red
+colorTo: pink
+sdk: gradio
+sdk_version: 5.1.0
+app_file: app.py
+pinned: true
+license: mit
+models:
+- black-forest-labs/FLUX.1-dev
+- renderartist/retrocomicflux
+- glif/l0w-r3z
+- Purz/vhs-box
+- renderartist/simplevectorflux
+- glif/anime-blockprint-style
+- multimodalart/flux-tarot-v1
+- alvdansen/pola-photo-flux
+- dvyio/flux-lora-the-sims
+- alvdansen/softpasty-flux-dev
+- dvyio/flux-lora-film-noir
+- AIWarper/RubberCore1920sCartoonStyle
+- Norod78/JojosoStyle-flux-lora
+- XLabs-AI/flux-RealismLora
+- multimodalart/vintage-ads-flux
+- glif/how2draw
+- mgwr/Cine-Aesthetic
+- sWizad/pokemon-trainer-sprites-pixelart-flux
+- nerijs/animation2k-flux
+- alvdansen/softserve_anime
+- veryVANYA/ps1-style-flux
+- alvdansen/flux-koda
+- alvdansen/frosting_lane_flux
+- davisbro/half_illustration
+- fofr/flux-wrong
+- linoyts/yarn_art_Flux_LoRA
+- Norod78/Flux_1_Dev_LoRA_Paper-Cutout-Style
+- SebastianBodza/Flux_Aquarell_Watercolor_v2
+- dataautogpt3/FLUX-SyntheticAnime
+- fofr/flux-80s-cyberpunk
+- kudzueye/boreal-flux-dev-v2
+- XLabs-AI/flux-lora-collection
+- martintomov/retrofuturism-flux
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

live_preview_helpers.py

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+import torch
+import numpy as np
+from diffusers import FluxPipeline, AutoencoderTiny, FlowMatchEulerDiscreteScheduler
+from typing import Any, Dict, List, Optional, Union
+
+# Helper functions
+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 function
+@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
+
+    # 1. Check inputs
+    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
+
+    # 2. Define call parameters
+    batch_size = 1 if isinstance(prompt, str) else len(prompt)
+    device = self._execution_device
+
+    # 3. Encode prompt
+    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,
+    )
+    # 4. Prepare latent variables
+    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,
+    )
+    # 5. Prepare timesteps
+    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)
+
+    # Handle guidance
+    guidance = torch.full([1], guidance_scale, device=device, dtype=torch.float32).expand(latents.shape[0]) if self.transformer.config.guidance_embeds else None
+
+    # 6. Denoising loop
+    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]
+        # Yield intermediate result
+        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()
+        
+
+    # Final image using good_vae
+    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.json

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+[
+  {
+    "repo": "Purz/choose-your-own-adventure",
+    "image": "https://huggingface.co/Purz/choose-your-own-adventure/resolve/main/34584570.jpeg",
+    "trigger_word": "cy04,",
+    "trigger_position": "prepend",
+    "title": "choose your own adventure",
+    "aspect": "portrait"
+  },
+  {
+    "image": "https://huggingface.co/renderartist/retrocomicflux/resolve/main/images/ComfyUI_temp_ipugi_00131_.png",
+    "repo": "renderartist/retrocomicflux",
+    "trigger_word": "c0m1c style vintage 1930s style comic strip panel of",
+    "title": "Retro Comic",
+    "trigger_position": "prepend"
+  },
+  {
+    "image": "https://huggingface.co/glif/l0w-r3z/resolve/main/images/a19d658b-5d4c-45bc-9df6-f2bec54462a5.png",
+    "repo": "glif/l0w-r3z",
+    "trigger_word": ", l0w-r3z",
+    "title": "Low Res 3D"
+  },
+  {
+    "repo": "Purz/vhs-box",
+    "image": "https://huggingface.co/Purz/vhs-box/resolve/main/33726559.jpeg", 
+    "trigger_word": ", vhs_box",
+    "title": "VHS Box"
+  },
+  {
+    "image": "https://huggingface.co/renderartist/simplevectorflux/resolve/main/images/ComfyUI_09477_.jpeg",
+    "title": "Simple Vector",
+    "repo": "renderartist/simplevectorflux",
+    "trigger_word": "v3ct0r style, simple flat vector art, isolated on white bg,",
+    "trigger_position": "prepend"
+  },
+  {
+    "image": "https://huggingface.co/glif/anime-blockprint-style/resolve/main/images/glif-block-print-anime-flux-dev-araminta-k-lora-araminta-k-kbde06qyovrmvsv65ubfyhn1.jpg",
+    "repo": "glif/anime-blockprint-style",
+    "trigger_word": ", blockprint style",
+    "title": "Blockprint Style"
+  },
+  {
+    "image": "https://huggingface.co/Purz/face-projection/resolve/main/34031841.jpeg",
+    "repo": "Purz/face-projection",
+    "trigger_word": "f4c3_p40j3ct10n,",
+    "trigger_position": "prepend",
+    "title": "face projection"
+  },
+  {
+    "image": "https://huggingface.co/multimodalart/flux-tarot-v1/resolve/main/images/e5f2761e5d474e6ba492d20dca0fa26f_e78f1524074b42b6ac49643ffad50ac6.png",
+    "title": "Tarot v1",
+    "repo": "multimodalart/flux-tarot-v1",
+    "trigger_word": "in the style of TOK a trtcrd, tarot style",
+    "aspect": "portrait"
+  },
+  {
+    "repo": "alvdansen/pola-photo-flux",
+    "image": "https://huggingface.co/alvdansen/pola-photo-flux/resolve/main/images/out-2%20(83).webp",
+    "trigger_word": ", polaroid style",
+    "title": "Polaroid Style"
+  },
+  {
+    "image": "https://huggingface.co/dvyio/flux-lora-the-sims/resolve/main/images/dunBAVBsALOepaE_dsWFI_6b0fef6b0fc4472aa07d00edea7c75b3.jpg",
+    "repo": "dvyio/flux-lora-the-sims",
+    "trigger_word": ", video game screenshot in the style of THSMS",
+    "title": "The Sims style" 
+  },
+  {
+    "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/dvyio/flux-lora-film-noir/resolve/main/images/S8iWMa0GamEcFkanHHmI8_a232d8b83bb043808742d661dac257f7.jpg",
+    "title": "Film Noir",
+    "repo": "dvyio/flux-lora-film-noir",
+    "trigger_word": "in the style of FLMNR"
+  },
+  {
+    "image": "https://huggingface.co/AIWarper/RubberCore1920sCartoonStyle/resolve/main/images/Rub_00006_.png",
+    "title": "1920s cartoon",
+    "repo": "AIWarper/RubberCore1920sCartoonStyle",
+    "trigger_word": "RU883R style",
+    "trigger_position": "prepend"
+  },
+  {
+    "image": "https://huggingface.co/Norod78/JojosoStyle-flux-lora/resolve/main/samples/1725244218477__000004255_1.jpg",
+    "title": "JoJo Style",
+    "repo": "Norod78/JojosoStyle-flux-lora",
+    "trigger_word": "JojosoStyle",
+    "trigger_position": "prepend"
+  },
+  {
+    "image": "https://github.com/XLabs-AI/x-flux/blob/main/assets/readme/examples/picture-6-rev1.png?raw=true",
+    "title": "flux-Realism",
+    "repo": "XLabs-AI/flux-RealismLora",
+    "trigger_word": ""
+  },
+  {
+    "image": "https://huggingface.co/multimodalart/vintage-ads-flux/resolve/main/samples/j_XNU6Oe0mgttyvf9uPb3_dc244dd3d6c246b4aff8351444868d66.png",
+    "title": "Vintage Ads",
+    "repo":"multimodalart/vintage-ads-flux",
+    "trigger_word": "a vintage ad of",
+    "trigger_position": "prepend"
+  },
+  {
+    "image": "https://huggingface.co/glif/how2draw/resolve/main/images/glif-how2draw-araminta-k-vbnvy94npt8m338r2vm02m50.jpg",
+    "repo": "glif/how2draw",
+    "trigger_word": ", How2Draw",
+    "title": "How2Draw"
+  },
+  {
+    "image": "https://huggingface.co/mgwr/Cine-Aesthetic/resolve/main/images/00030-1333633802.png",
+    "title": "Cine Aesthetic",
+    "repo": "mgwr/Cine-Aesthetic",
+    "trigger_word": "mgwr/cine",
+    "trigger_position": "prepend"
+  },
+  {
+    "image": "https://huggingface.co/sWizad/pokemon-trainer-sprites-pixelart-flux/resolve/main/26578915.jpeg",
+    "repo": "sWizad/pokemon-trainer-sprites-pixelart-flux",
+    "title": "Pokemon Trainer Sprites",
+    "trigger_word": "white background, a pixel image of",
+    "trigger_position": "prepend" 
+  },
+  {
+    "image": "https://huggingface.co/nerijs/animation2k-flux/resolve/main/images/Q8-oVxNnXvZ9HNrgbNpGw_02762aaaba3b47859ee5fe9403a371e3.png",
+    "title": "animation2k",
+    "repo": "nerijs/animation2k-flux",
+    "trigger_word": ""
+  },
+  {
+    "image":"https://huggingface.co/alvdansen/softserve_anime/resolve/main/images/ComfyUI_00062_.png",
+    "title":"SoftServe Anime", 
+    "repo": "alvdansen/softserve_anime",
+    "trigger_word": ""
+  },
+  {
+    "image": "https://huggingface.co/veryVANYA/ps1-style-flux/resolve/main/24439220.jpeg",
+    "title": "PS1 style",
+    "repo": "veryVANYA/ps1-style-flux",
+    "trigger_word": "ps1 game screenshot,",
+    "trigger_position": "prepend"
+  },
+  {
+    "image": "https://huggingface.co/alvdansen/flux-koda/resolve/main/images/ComfyUI_00566_%20(2).png",
+    "title": "flux koda",
+    "repo": "alvdansen/flux-koda",
+    "trigger_word": "flmft style"
+  },
+  {
+    "image": "https://huggingface.co/alvdansen/frosting_lane_flux/resolve/main/images/content%20-%202024-08-11T005936.346.jpeg",
+    "title": "Frosting Lane Flux",
+    "repo": "alvdansen/frosting_lane_flux",
+    "trigger_word": ""
+  },
+  {
+    "image": "https://huggingface.co/davisbro/half_illustration/resolve/main/images/example3.webp",
+    "title": "Half Illustration",
+    "repo": "davisbro/half_illustration",
+    "trigger_word": "in the style of TOK"
+  },
+  {
+    "image":"https://pbs.twimg.com/media/GVRiSH7WgAAnI4P?format=jpg&name=medium",
+    "title":"wrong", 
+    "repo": "fofr/flux-wrong",
+    "trigger_word": "WRNG"
+  },
+  {
+    "image":"https://huggingface.co/linoyts/yarn_art_Flux_LoRA/resolve/main/yarn_art_2.png",
+    "title":"Yarn Art", 
+    "repo": "linoyts/yarn_art_Flux_LoRA",
+    "trigger_word": ", yarn art style"
+  },
+  {
+    "image": "https://huggingface.co/Norod78/Flux_1_Dev_LoRA_Paper-Cutout-Style/resolve/main/08a19840b6214b76b0607b2f9d5a7e28_63159b9d98124c008efb1d36446a615c.png",
+    "title": "Paper Cutout",
+    "repo": "Norod78/Flux_1_Dev_LoRA_Paper-Cutout-Style",
+    "trigger_word": ", Paper Cutout Style"
+  },
+  {
+    "image": "https://huggingface.co/SebastianBodza/flux_lora_aquarel_watercolor/resolve/main/images/ascend.webp",
+    "title": "Aquarell Watercolor",
+    "repo": "SebastianBodza/Flux_Aquarell_Watercolor_v2",
+    "trigger_word": "in a watercolor style, AQUACOLTOK. White background."
+  },
+  {
+    "image": "https://huggingface.co/dataautogpt3/FLUX-SyntheticAnime/resolve/main/assets/angel.png",
+    "title": "SyntheticAnime",
+    "repo": "dataautogpt3/FLUX-SyntheticAnime",
+    "trigger_word": "1980s anime screengrab, VHS quality"
+  },
+  {
+    "image": "https://github.com/XLabs-AI/x-flux/blob/main/assets/readme/examples/result_14.png?raw=true",
+    "title": "flux-anime",
+    "repo": "XLabs-AI/flux-lora-collection",
+    "weights": "anime_lora.safetensors",
+    "trigger_word": ", anime"
+  },
+  {
+    "image": "https://replicate.delivery/yhqm/QD8Ioy5NExqSCtBS8hG04XIRQZFaC9pxJemINT1bibyjZfSTA/out-0.webp",
+    "title": "80s Cyberpunk",
+    "repo": "fofr/flux-80s-cyberpunk",
+    "trigger_word": "style of 80s cyberpunk",
+    "trigger_position": "prepend"
+  },
+  {
+    "image": "https://huggingface.co/kudzueye/Boreal/resolve/main/images/ComfyUI_00845_.png",
+    "title": "Boreal",
+    "repo": "kudzueye/boreal-flux-dev-v2",
+    "trigger_word": "phone photo"
+  },
+  {
+    "image": "https://github.com/XLabs-AI/x-flux/blob/main/assets/readme/examples/result_18.png?raw=true",
+    "title": "flux-disney",
+    "repo": "XLabs-AI/flux-lora-collection",
+    "weights": "disney_lora.safetensors",
+    "trigger_word": ", disney style"
+  },
+  {
+    "image": "https://github.com/XLabs-AI/x-flux/blob/main/assets/readme/examples/result_23.png?raw=true",
+    "title": "flux-art",
+    "repo": "XLabs-AI/flux-lora-collection",
+    "weights": "art_lora.safetensors",
+    "trigger_word": ", art"
+  },
+  {
+    "image": "https://huggingface.co/martintomov/retrofuturism-flux/resolve/main/images/2e40deba-858e-454f-ae1c-d1ba2adb6a65.jpeg",
+    "title": "Retrofuturism Flux",
+    "repo": "martintomov/retrofuturism-flux",
+    "trigger_word": ", retrofuturism"
+  }
+]

requirements.txt

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+git+https://github.com/huggingface/diffusers.git
+git+https://github.com/huggingface/transformers.git
+git+https://github.com/huggingface/accelerate.git
+safetensors
+sentencepiece
+git+https://github.com/huggingface/peft.git