Merge branch 'AUTOMATIC1111:master' into sub-quad_attn_opt

The documentation was moved from this README over to the project's [wiki](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki).

## Credits

Licenses for borrowed code can be found in `Settings -> Licenses` screen, and also in `html/licenses.html` file.

- Stable Diffusion - https://github.com/CompVis/stable-diffusion, https://github.com/CompVis/taming-transformers

- k-diffusion - https://github.com/crowsonkb/k-diffusion.git

- GFPGAN - https://github.com/TencentARC/GFPGAN.git

model:

  base_learning_rate: 1.0e-04

  target: ldm.models.diffusion.ddpm.LatentDiffusion

  params:

    linear_start: 0.00085

    linear_end: 0.0120

    num_timesteps_cond: 1

    log_every_t: 200

    timesteps: 1000

    first_stage_key: "jpg"

    cond_stage_key: "txt"

    image_size: 64

    channels: 4

    cond_stage_trainable: false   # Note: different from the one we trained before

    conditioning_key: crossattn

    monitor: val/loss_simple_ema

    scale_factor: 0.18215

    use_ema: False

    scheduler_config: # 10000 warmup steps

      target: ldm.lr_scheduler.LambdaLinearScheduler

      params:

        warm_up_steps: [ 10000 ]

        cycle_lengths: [ 10000000000000 ] # incredibly large number to prevent corner cases

        f_start: [ 1.e-6 ]

        f_max: [ 1. ]

        f_min: [ 1. ]

    unet_config:

      target: ldm.modules.diffusionmodules.openaimodel.UNetModel

      params:

        image_size: 32 # unused

        in_channels: 4

        out_channels: 4

        model_channels: 320

        attention_resolutions: [ 4, 2, 1 ]

        num_res_blocks: 2

        channel_mult: [ 1, 2, 4, 4 ]

        num_heads: 8

        use_spatial_transformer: True

        transformer_depth: 1

        context_dim: 768

        use_checkpoint: True

        legacy: False

    first_stage_config:

      target: ldm.models.autoencoder.AutoencoderKL

      params:

        embed_dim: 4

        monitor: val/rec_loss

        ddconfig:

          double_z: true

          z_channels: 4

          resolution: 256

          in_channels: 3

          out_ch: 3

          ch: 128

          ch_mult:

          - 1

          - 2

          - 4

          - 4

          num_res_blocks: 2

          attn_resolutions: []

          dropout: 0.0

        lossconfig:

          target: torch.nn.Identity

    cond_stage_config:

      target: modules.xlmr.BertSeriesModelWithTransformation

      params:

        name: "XLMR-Large"

 No newline at end of file

import random

from modules import script_callbacks, shared

import gradio as gr

art_symbol = '\U0001f3a8'  # 🎨

global_prompt = None

related_ids = {"txt2img_prompt", "txt2img_clear_prompt", "img2img_prompt", "img2img_clear_prompt" }

def roll_artist(prompt):

    allowed_cats = set([x for x in shared.artist_db.categories() if len(shared.opts.random_artist_categories)==0 or x in shared.opts.random_artist_categories])

    artist = random.choice([x for x in shared.artist_db.artists if x.category in allowed_cats])

    return prompt + ", " + artist.name if prompt != '' else artist.name

def add_roll_button(prompt):

    roll = gr.Button(value=art_symbol, elem_id="roll", visible=len(shared.artist_db.artists) > 0)

    roll.click(

        fn=roll_artist,

        _js="update_txt2img_tokens",

        inputs=[

            prompt,

        ],

        outputs=[

            prompt,

        ]

    )

def after_component(component, **kwargs):

    global global_prompt

    elem_id = kwargs.get('elem_id', None)

    if elem_id not in related_ids:

        return

    if elem_id == "txt2img_prompt":

        global_prompt = component

    elif elem_id == "txt2img_clear_prompt":

        add_roll_button(global_prompt)

    elif elem_id == "img2img_prompt":

        global_prompt = component

    elif elem_id == "img2img_clear_prompt":

        add_roll_button(global_prompt)

script_callbacks.on_after_component(after_component)

<div>

        <a href="/docs">API</a>

         • 

        <a href="https://github.com/AUTOMATIC1111/stable-diffusion-webui">Github</a>

         • 

        <a href="https://gradio.app">Gradio</a>

         • 

        <a href="/" onclick="javascript:gradioApp().getElementById('settings_restart_gradio').click(); return false">Reload UI</a>

</div>