Instructions to use mhnakif/comfy2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mhnakif/comfy2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mhnakif/comfy2", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
File size: 4,394 Bytes
7c74434 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 | from __future__ import annotations
from enum import Enum
from typing import Optional
from pydantic import BaseModel, Field, confloat
class StabilityFormat(str, Enum):
png = 'png'
jpeg = 'jpeg'
webp = 'webp'
class StabilityAspectRatio(str, Enum):
ratio_1_1 = "1:1"
ratio_16_9 = "16:9"
ratio_9_16 = "9:16"
ratio_3_2 = "3:2"
ratio_2_3 = "2:3"
ratio_5_4 = "5:4"
ratio_4_5 = "4:5"
ratio_21_9 = "21:9"
ratio_9_21 = "9:21"
def get_stability_style_presets(include_none=True):
presets = []
if include_none:
presets.append("None")
return presets + [x.value for x in StabilityStylePreset]
class StabilityStylePreset(str, Enum):
_3d_model = "3d-model"
analog_film = "analog-film"
anime = "anime"
cinematic = "cinematic"
comic_book = "comic-book"
digital_art = "digital-art"
enhance = "enhance"
fantasy_art = "fantasy-art"
isometric = "isometric"
line_art = "line-art"
low_poly = "low-poly"
modeling_compound = "modeling-compound"
neon_punk = "neon-punk"
origami = "origami"
photographic = "photographic"
pixel_art = "pixel-art"
tile_texture = "tile-texture"
class Stability_SD3_5_Model(str, Enum):
sd3_5_large = "sd3.5-large"
# sd3_5_large_turbo = "sd3.5-large-turbo"
sd3_5_medium = "sd3.5-medium"
class Stability_SD3_5_GenerationMode(str, Enum):
text_to_image = "text-to-image"
image_to_image = "image-to-image"
class StabilityStable3_5Request(BaseModel):
model: str = Field(...)
mode: str = Field(...)
prompt: str = Field(...)
negative_prompt: Optional[str] = Field(None)
aspect_ratio: Optional[str] = Field(None)
seed: Optional[int] = Field(None)
output_format: Optional[str] = Field(StabilityFormat.png.value)
image: Optional[str] = Field(None)
style_preset: Optional[str] = Field(None)
cfg_scale: float = Field(...)
strength: Optional[confloat(ge=0.0, le=1.0)] = Field(None)
class StabilityUpscaleConservativeRequest(BaseModel):
prompt: str = Field(...)
negative_prompt: Optional[str] = Field(None)
seed: Optional[int] = Field(None)
output_format: Optional[str] = Field(StabilityFormat.png.value)
image: Optional[str] = Field(None)
creativity: Optional[confloat(ge=0.2, le=0.5)] = Field(None)
class StabilityUpscaleCreativeRequest(BaseModel):
prompt: str = Field(...)
negative_prompt: Optional[str] = Field(None)
seed: Optional[int] = Field(None)
output_format: Optional[str] = Field(StabilityFormat.png.value)
image: Optional[str] = Field(None)
creativity: Optional[confloat(ge=0.1, le=0.5)] = Field(None)
style_preset: Optional[str] = Field(None)
class StabilityStableUltraRequest(BaseModel):
prompt: str = Field(...)
negative_prompt: Optional[str] = Field(None)
aspect_ratio: Optional[str] = Field(None)
seed: Optional[int] = Field(None)
output_format: Optional[str] = Field(StabilityFormat.png.value)
image: Optional[str] = Field(None)
style_preset: Optional[str] = Field(None)
strength: Optional[confloat(ge=0.0, le=1.0)] = Field(None)
class StabilityStableUltraResponse(BaseModel):
image: Optional[str] = Field(None)
finish_reason: Optional[str] = Field(None)
seed: Optional[int] = Field(None)
class StabilityResultsGetResponse(BaseModel):
image: Optional[str] = Field(None)
finish_reason: Optional[str] = Field(None)
seed: Optional[int] = Field(None)
id: Optional[str] = Field(None)
name: Optional[str] = Field(None)
errors: Optional[list[str]] = Field(None)
status: Optional[str] = Field(None)
result: Optional[str] = Field(None)
class StabilityAsyncResponse(BaseModel):
id: Optional[str] = Field(None)
class StabilityTextToAudioRequest(BaseModel):
model: str = Field(...)
prompt: str = Field(...)
duration: int = Field(190, ge=1, le=190)
seed: int = Field(0, ge=0, le=4294967294)
steps: int = Field(8, ge=4, le=8)
output_format: str = Field("wav")
class StabilityAudioToAudioRequest(StabilityTextToAudioRequest):
strength: float = Field(0.01, ge=0.01, le=1.0)
class StabilityAudioInpaintRequest(StabilityTextToAudioRequest):
mask_start: int = Field(30, ge=0, le=190)
mask_end: int = Field(190, ge=0, le=190)
class StabilityAudioResponse(BaseModel):
audio: Optional[str] = Field(None)
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